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MINISTRY OF HEALTH
Kenya Nutrition Monitoring
and Evaluation Framework
2018 to 2022
© Ministry of Health, 2020
Suggested citation: Government of Kenya, Ministry of Health (2020): The KenyaNutrition Monitoring and Evaluation Framework, 2018 –2022
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 i
The development of the M & E Framework 2018-2022 was done through a consultative process of all the stakeholders in the nutrition specific and nutrition sensitive sectors. The framework is based on the review and input from various documents in the health sector namely: The National Food and Nutrition Security Policy 2011, Kenya Nutrition Action Plan 2018- 2022, Nutrition Monitoring and Evaluation Framework 2013 among others. The framework is also aligned to the Kenya Health Information System (HIS) with focus on strengthening nutrition indicators and information systems.
The M&E framework offers clarity on: What is to be monitored and evaluated; who is responsible; when M & E activities are planned and carried out. The framework contains a comprehensive M&E guidance, associated indicators and toolkits and provides a harmonized approach and understanding of nutrition M&E. The framework also provides a benchmark for planning, budgeting, reporting and re-strategizing of nutrition interventions at national and county levels. Additionally, the framework will ensure continuous tracking of progress, documentation of lessons learned and replication of best practices as outlined in the KNAP 2018-2022.
Dr. Patrick AmothAg. DIRECTOR GENERAL FOR HEALTH
FOREWORD
Good nutrition is fundamental for achieving right to health, embodied in article 43 in the Kenya Constitution, 2010. Therefore, the Kenya Health Policy 2014-2030 has prioritized implementation of essential nutrition actions under most of its strategic objectives. Further, nutrition has been identified as one of the essential health services under the primary health care, key driver in the realization of Universal Health Coverage envisioned in the Big Four Agenda.
The Ministry is implementing the Kenya Nutrition Action Plan (KNAP) 2018-2022 whose objective is to accelerate and scale up efforts towards the elimination of malnutrition. KNAP identified Monitoring, Evaluation, Accountability and Learning (MEAL) as the mechanism that will facilitate tracking and evaluation of performance of KNAP implementation. Therefore, the Kenya Nutrition Monitoring and Evaluation (M&E) Framework 2018-2022 has been developed to serve this purpose and provides further guidance on M&E, strengthening of multi-sectoral nutrition information systems (NIS), learning and research for actors engaged in the implementation of the KNAP at the National, County and sub-county levels.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022ii
The Kenya Nutrition Monitoring and Evaluation Framework has been developed through leveraging a broad range of expertise from government and partner organizations who are members of various nutrition programmes technical working groups under the Division of Nutrition and Dietetics (DND) in the Ministry of Health (MOH) Nutrition Information technical working group (NITWG), National Micronutrient Deficiency Control Committee (NMDCC), Food and Nutrition Linkages Working Group, Nutrition Capacity Development TWG and Nutrition Advocacy and Communication TWG.
Sincere gratitude to United Nations Children’s Fund (UNICEF), Kenya Office for the technical leadership and financial support of the entire process which consisted of the Nutrition M&E system review and development of the M&E framework 2018-2022.
Special thanks to the NITWG and the Nutrition M&E Framework Task Force under the leadership of Lucy Kinyua (MOH), Samuel Murage (MOH), Lucy Maina-Gathigi (UNICEF), Chirchir Kibet (UNICEF) and Lillian Kaindi (ACF), for ensuring completion of the development of the Framework. Special appreciation goes to the National Nutrition Technical Forum and the Nutrition Interagency Coordinating Committee (NICC) under the leadership of Veronica Kirogo (MOH) for overall technical oversight and validation.
The following organizations are gratefully acknowledged for their technical support: Action Against Hunger (ACF), Feed The Children, Kenya Red Cross Society (KRCS), World Vision Kenya (WVK), Nutrition International (NI), Save The Children, Kenya Medical Research Institute (KEMRI), Kenyatta National Hospital (KNH), Ministries (Education; Water and Sanitation; Labour and Social Protection; and Agriculture, Livestock, Fisheries & Cooperatives).
The contribution of all the 47 Counties through the respective County Nutrition Coordinators (CNCs) during the development and validation of the Framework is gratefully acknowledged.
Lastly, special appreciation to Dr. David Soti (MOH), Leila Akinyi (MOH), Lucy Kinyua (MOH), Lucy Maina-Gathigi (UNICEF) for carrying out the final editing of the framework.
Dr. Pacifica OnyanchaAg. Director Medical Services, Prevention and Promotive Health
ACKNOWLEDGEMENT
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 iii
FOREWORD iACKNOWLEDGEMENTS iiCONTENTS iiiLIST OF TABLES vLIST OF FIGURES vLIST OF ABBREVIATIONS viOPERATIONAL DEFINITION OF TERMS ixEXECUTIVE SUMMARY x
CHAPTER 1: INTRODUCTION 11.1 Nutrition Status 21.2 Vision, Mission and Mandate of Division of Nutrition and Dietetics 51.3 Core Values and Guiding Principles 61.4 The Kenya Nutrition Action Plan 2018-2022 61.5 County Nutrition Action Plans (CNAPs) 2018-2022 71.6 Process of Development of Monitoring and Evaluation Framework 2018-2022 7
CHAPTER 2: DEVELOPMENT OF THE NATIONAL NUTRITION MONITORING AND EVALUATION FRAMEWORK
10
2.1 Rationale 112.2 Goal and Objectives of the M&E Framework 112.2.1 Goal 112.2.2 Objectives 112.3 Guiding Principles 122.4 Components of the Nutrition Information System (NIS) 122.5 Sources of nutrition data and information 132.6 Nutrition Information System (NIS) and M&E Toolkit 142.7 Data analysis 142.8 Data Dissemination 152.9 Basic Concepts of Monitoring, Evaluation, Accountability and Learning (MEAL) 15
CHAPTER 3: NUTRITION M&E FRAMEWORK IN KENYA 193.1 Common Results Accountability Framework 203.2 Indicators by Key Result Areas 223.3 Monitoring and Reporting 423.4 Monitoring and Evaluation Implementation Matrix 443.5 Evaluation 553.6 Accountability and Learning 563.7 Operational Research 583.8 Research and Learning Implementation Matrix 59
CONTENTS ACKNOWLEDGEMENT
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022iv
CHAPTER FOUR: IMPLEMENTATION STRATEGY FOR THE M&E FRAMEWORK 644.1 Roles and Responsibilities of Stakeholders 654.2 Technical Coordination Mechanisms 694.2.1 Nutrition Information Technical Working Group 694.2.2 Research in Nutrition Technical Working Group (RNTWG) 694.3 Capacity Development for Nutrition Information and M&E 704.3.1 Systemic capacity for M and E 704.3.2 Organizational capacity 704.3.3 Technical capacity 714.3.4 Community capacity 724.4 Data Quality Assurance 724.5 Funding of the M&E system 734.5.1 Advocacy for nutrition information and M&E 734.5.2 Costing 734.6 Accountability: Feedback and Response mechanisms 744.7 Updating of the Framework 74
BIBLIOGRAPHY 75ANNEXES 77Annex 1: Nutrition indicators thresholds 78Annex 2 Indicator Compendium 79Annex 2.1 Anthropometric measurements 79Annex 2.2 Indicators to assess for MNPs programmes coverage in population-based surveys 83Annex 2.3 Indicators to assess IFAS programmes 86Annex 2.4 Key Indicators for VAS 90Annex 2.5 Indicators for Mother Infant and Young child feeding practices (MIYCN) 93Annex 2.6 Community Health Volunteers 101Annex 3 Good Practice Template 102Annex 4 Research Proposal Guide _ Technical Working Group 103Annex 5 Monitoring and Evaluation products and Feedback mechanisms 104Annex 6 Formats for presenting reports for Annual work Plans 105Annex 7 Detailed cost of Monitoring and Evaluation Framework 106Annex 8 List of contributors 110
CONTENTS
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 v
CONTENTS
LIST OF TABLESTable 1: Prevalence of micronutrient deficiencies among Children(6-59 months) and Women (15-49 years) 4Table 2: Common Results Accountability Framework: KNAP Adopted Nutrition Targets by 2022 20Table 3: KRA 1 (Outcome 1) Indicators 23Table 4: KRA 2 (Outcome 2) Indicators 24Table 5: KRA 3 (Outcome 3) Indicators 25Table 6: KRA 4 (Outcome 4) Indicators 26Table 7: KRA 5 (Outcome 5) Indicators 27Table 8: KRA 6 (Outcome 6) Indicators 28Table 9: KRA 7 (Outcome 7) Indicators 28Table 10: KRA 8 (Outcome 8) Indicators 30Table 11: KRA 9 (Outcome 9) Indicators 31Table 12: KRA 10 (Outcome 10) Indicators 32Table 13: KRA 11 (Outcome 11) Indicators 33Table 14: KRA 12 (Outcome 12) Indicators 33Table 15: KRA 13 (Outcome 13) Indicators 34Table 16: KRA 14 (Outcome 14) Indicators 34Table 17: KRA 15 (Outcome 15) Indicators 35Table 18: KRA 16 (Outcome 16) Indicators 36Table 19: KRA 17 (Outcome 17) Indicators 38Table 20: KRA 18 (Outcome 18) Indicators 40Table 21: KRA 19 (Outcome 19) Indicators 41Table 22: Monitoring and Evaluation Implementation Matrix 44Table 23: Research and Learning Implementation Matrix 59Table 24: Roles and Responsibilities of stakeholders in the M&E 66Table 25: Cost of the M&E framework Implementation 74
LIST OF FIGURES Figure 1:Prevalence of Stunting in Kenya 2Figure 2: Prevalence of wasting in Kenya 2Figure 3: Prevalence of Obesity in Kenya 3Figure 4: Micronutrient deficiencies among children and women 3Figure 5: Results Logical Pyramid of the KNAP 6Figure 6:Components of Nutrition Information System 13Figure 7: Sources of Nutrition Information and Dissemination platforms 14Figure 8: M&E Logical Framework 15Figure 9: Reporting cycle of routine data-KHIS 43Figure 10: Learning Cycle 58
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022vi
LIST OF ABBREVIATIONS
ACSM Advocacy, Communication and Social MobilizationAFI Acute Food InsecurityAMN Acute MalnutritionAMNR Annual Multi-Stakeholder Nutrition ReviewsASAL Arid and Semi-Arid LandsBMI Body Mass IndexCDs Computer DisksCECM County Executive Committee MemberCHIS Community Health Information System CHMT County Health Management TeamCHS Community Health StrategyCHSSIP County Health Sector Strategic and Investment Plan CHV Community Health VolunteerCNAP County Nutrition Action Plan CNC County Nutrition CoordinatorCNTF County Nutrition Technical ForumCoG Council of GovernorsCRAF Common Results and Accountability FrameworkCUs Community UnitsDND Division of Nutrition and DieteticsDNCD Division of Non-Communicable Diseases DHIS District Health Information SystemDQA Data Quality AssuranceEML Essential Medicines ListETR End term ReviewEWS Early Warning SystemFAO Food and Agriculture OrganizationFEWSNET Famine Early Warning Systems NetworkFCS Food Consumption ScoreFNSP Food and Nutrition Security Policy (FSNP)GAIN Global Alliance for Improved NutritionGBD Global Burden of Disease GDP Gross Domestic ProductGNR Global Nutrition ReportHDSS Health and Demographic Surveillance System HIS Health Information SystemHIV Human Immunodeficiency Virus HMIS Health Management Information SystemHRH Human Resources for HealthIFAS Iron Folic Acid SupplementIMAM Integrated Management of Acute MalnutritionIPC Integrated Phase ClassificationJFFLS Junior Farmer Field and Life School of the Ministry of Agriculture
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 vii
KABP Knowledge Attitude Behavior and PracticesKAP Knowledge Attitude and PracticesKDHS Kenya Demographic and Health SurveyKEBS Kenya Bureau of StandardsKEMRI Kenya Medical Research InstituteKEMSA Kenya Medical Supplies AuthorityKHIS Kenya Health Information SystemKHO Kenya Health Observatory KHSSP Kenya Health Strategic and Investment PlanKIHBS Kenya Integrated Household Budget SurveyKNAP Kenya Nutrition Action PlanKNBS Kenya National Bureau of StatisticsKNMS Kenya National Micronutrient SurveyKRA Key Result AreaKRCS Kenya Red Cross SocietyLMIS Logistic Management Information SystemLQAS Lot Quality Analysis SamplingMAM Moderate Acute MalnutritionM&E Monitoring and EvaluationMCA Member of County AssemblyMCNP Maternal and Child Nutrition Program MEAL Monitoring Evaluation, Accountability and LearningMICS Multiple Indicators Cluster Survey MIYCN Maternal Infant and Young Child NutritionMIYCN-E Maternal Infant and Young Child Nutrition-EmergencyMoALC Ministry of Agriculture, Livestock and CooperativesMDA Ministries, Departments and Agencies MNP Micronutrient PowderMODA Ministry of Devolution and ASALMoE Ministry of EducationMOH Ministry of HealthMoV Means of verificationMTR Mid Term ReviewMUAC Mid Upper Arm CircumferenceNASCOP National AIDS and STIs Control ProgrammeNCD Non-Communicable DiseasesNCTWG Nutrition Capacity Technical Working GroupNDMA National Disaster Management AuthorityNGO Non-Governmental Organization NFNSP-IF National Food and Nutrition Security Policy Implementation FrameworkNiPN National Information Platform for NutritionNI Nutrition InternationalNIS Nutrition Information System
LIST OF ABBREVIATIONS
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022viii
NITWG Nutrition Information Technical Working GroupNNAP National Nutrition Action PlanNPW Non-Pregnant WomenODK Open Data KitOJT On Job Training
OECD-DAC Organization for Economic Co-operation and Development’s (OECD) Development Assistance Committee (DAC)
PC Performance Contract PL-HIV People Living With Human Immunodeficiency VirusPSC Public Service Commission RMNCAH Reproductive, Maternal, Newborn, Child and Adolescent Health RDQA Routine Data Quality AssessmentRNTWG Research in Nutrition Technical Working Group SAM Severe Acute MalnutritionSDGs Standard DeviationSD Sustainable Development GoalsSLEAC Simplified Lot Quality Assurance Sampling Evaluation of Access and CoverageSMART Standardized Monitoring Assessment on Relief and TransitionSQUEAC Semi Quantitative Evaluation on Access and CoverageSUN Scaling Up NutritionTB Tuberculosis ToC Theory of ChangeTWG Technical Working GroupUN United Nations UNICEF United Nations Children FundVAD Vitamin A DeficiencyW/A Weight for AgeWASH Water Sanitation and HygieneWFP World Food ProgrammeW/H Weight for HeightWHA World Health AssemblyWRA Women of Reproductive AgeWVK World Vision Kenya
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 ix
Term Operational Definition Stakeholders Refers to a group of agencies or persons with a similar interest in a particular field e.g.
nutrition.Research Refers to the generation of knowledge that can be used to prevent disease, promote,
restore, maintain, protect and improve the population’s development and well-being.Surveys Periodic, focused assessments that collect data from a population. Surveys are used to
assess the perceptions, behaviour, knowledge, attitudes and infection status of targeted populations
Surveillance Ongoing, systematic collection, collation, analysis and interpretation of trends and dissemination of data regarding a health-related event for use in public health action to reduce morbidity and mortality and to improve health. Nutrition surveillance is a systematic approach used to detect malnutrition and identify populations at risk of suffering from it for action.
Relevance Only data that meets the information needs is collected, to inform project management and decision-making. Data captured should be used for the purposes for which it is collected.
Validity Data use should be able to measure the changes being tracked. Data should be recorded and used in compliance with relevant requirements, including the correct application of any rules or definitions. This will ensure consistency between periods and with similar activities. Where proxy data is used to compensate for an absence of actual data, activities must consider how well this data is able to satisfy the intended purpose
Accuracy Data should represent the actual population and their situation. Data should be sufficiently accurate for its intended purposes, representing clearly and in sufficient detail the interaction provided at the point of activity
Completeness Data requirements should be clearly specified based on the information needs of the activities and data collection processes matched to these requirements
Reliable Data should be verifiable, producing the same results when used repeatedly to measure the same thing over time. Data should reflect stable and consistent data collection processes across collection points and over time, whether using manual or computer-based systems, or a combination
Timeliness Data should be captured as quickly as possible after the event or activity and must be available for the intended use within a reasonable period. Data must be available quickly and frequently enough to support information needs and to influence the appropriate level of service or management decisions
OPERATIONAL DEFINITION OF TERMS
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022x
Kenya is facing a triple burden of malnutrition in the form of under nutrition, micronutrient deficiencies and over-nutrition. The Ministry of Health in collaboration with stakeholders developed the Kenya Nutrition Action Plan (KNAP) 2018-2022. The overarching objective of the plan is accelerating and scaling up efforts towards the elimination of malnutrition in Kenya in line with Kenya’s Vision 2030 and Sustainable Development Goals (SDGs) with focus on specific achievements by 2022. The action plan is organized into three category focus areas namely; Nutrition-specific and Nutrition-sensitive Interventions and, Enabling Environment. The Kenya Nutrition Monitoring and Evaluation Framework 2018-2022 has been developed to align with the needs of the Kenya Nutrition Action Plan 2018-2022. A review of the Nutrition Monitoring and Evaluation Framework 2013 and other relevant documents was conducted to inform the development of this framework. The development was conducted through a consultative process involving deliberations by task teams, stakeholder consultations, and online survey and review and validation workshops.
The rationale of this framework is to ensure continuous tracking of progress, document lessons learned and replicate best practices of nutrition interventions as outlined in the KNAP 2018-2022. It highlights the goal and the objectives and the guiding principles which are expected to ensure a systematic implementation of the monitoring and evaluation framework. The framework describes the basic principles of Monitoring, Evaluation, Accountability and Learning (MEAL) the sources of nutrition information and data analysis and reporting. In addition, the Nutrition Information System monitoring toolkit repository comprising of a variety of guidelines, training packages, tools for data collection and guidance on data analysis and reporting for different sources of information has been developed to provide ease of accessibility to these tools and documents.
The framework also covers the Common Results and Accountability Framework (CRAF) for the 19 Key Result Areas (KRAs) and elaborates the process of Monitoring, Evaluation, Accountability and Learning. The key result areas are categorized into nutrition specific, nutrition sensitive and enabling environment with their indicators, definitions, thresholds, means of verification, frequency of reporting and operational research to be conducted. The indicators will be measured and reported through existing systems such as Kenya Health Information System (KHIS), the National Drought Management Authority (NDMA) early warning system, program reports and population-based surveys. Reporting and communication of results will adhere to standard guidelines and use effective communication channels to ensure improved uptake of findings.
Evaluation and operational research will be implemented to provide evidence for informing programme decisions that lead to effective coverage of interventions. Finally, accountability will be mainstreamed to ensure service providers or duty bearers are accountable for resources and results. Learning and application of best practices will contribute to adaptation of approaches that are known to produce results.
The actualization of the M&E Framework will help build a chain of evidence that will provide the metrics of change. The burden of proof lies with the various stakeholders whose responsibility is to demonstrate that the commitment made in the KNAP 2018-2022 shall indeed be realized and that there is evidence to back up the claim of progress. The implementation strategy therefore shall be driven by human resource development and system readiness and funding mechanisms that will boost M&E human resource and systems at National and County levels.
EXECUTIVE SUMMARY
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 1
INTRODUCTION
CHAPTER 1 EXECUTIVE SUMMARY
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 20222
1.1 Nutrition Status
Nutrition is a vital component in human growth and development. Globally, at least one in three people is experiencing malnutrition in one form or another. Almost every country in the world is facing a nutrition-related challenge characterized by undernutrition (stunting, wasting and underweight), micronutrient deficiencies and over-nutrition (overweight/ obesity); that is triple burden of malnutrition. The 2018 Global Nutrition Report (GNR) estimates that 150.8 million children under the age of five (22.2 per cent) are stunted and 50.5 million children (7.4 per cent) are wasted. The anaemia prevalence in girls and women of reproductive age (15-49 years) remains high at 32.8 percent, having increased from 31.6 percent in 2000. Slightly over two billion adults are overweight, of whom 678 million are obese; and 38.3 million children are overweight1.
In different regions, the proportion of stunting among children under the age of five has declined: for example, in Asia from 38.1 percent to 23.2 percent; Latin America and the Caribbean from 16.9 percent to 9.6 percent; and Africa from 38.3 percent to 30.3 percent. Despite the decreased prevalence of stunting in Africa, the number of stunted children increased steadily from 50.6 million in 2000 to 58.7 million in 2017. Sub-Saharan Africa (SSA) contributes the highest burden of malnutrition in Africa. There are 17.6 million children in sub-Saharan Africa who suffer from acute malnutrition2.
In Kenya, the situation of undernutrition is very similar to the global outlook. Out of 7.22 million children less than five years old, nearly 1.8 million are stunted (26 percent); 290,000 are wasted (4 percent) and 794,200 (11 percent) are underweight. However, there are geographical variations in the severity of malnutrition (See Figures 1, 2 and 3).
Figure 1:Prevalence of Stunting in Kenya Figure 2: Prevalence of wasting in Kenya
1 2018 Global Nutrition Report2 2018 Global Nutrition Report
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 3
The Kenya Demographic Health Survey (KDHS) 2014 showed a decline in stunting from 35.3 percent in 2008 to 26 percent in 2014 as shown in Figure 4. Though the country has made a lot of progress towards reduction of stunting, the country is classified as having high (20-<30 percent) levels of malnutrition based on the new WHO 2017 classification thresholds3. All counties in Kenya are now classified as being in medium (10-<20 percent) or high (20-<30 percent) category and need to prioritize interventions to achieve low (2.5-<5 percent) or very low <2.5 percent) levels of stunting. Stunting is very high (>30 percent) in 9 counties4. Nationally, stunting peaks at 18-23 months where 35.3 percent of the children are stunted. More boys than girls are stunted (30 percent compared to 22 percent respectively).
In terms of wasting, there has been modest decline from 6.7 percent in 1993 to 4 percent in 2014 (Figure 4). Kenya is now classified in the ‘low’ category based on the new WHO thresholds. Huge disparities however exist within the country with arid counties in very high (>15 percent) category. Wasting is highest in Turkana at 23 percent and lowest at 0.2 percent in Siaya (KDHS 2014).
39.937.7
35.7 35.3
26
18.7 1815.8 16.1
116.7 6.9 6 6.7
4
0
5
10
15
20
25
30
35
40
45
1993 DHS 1998 DHS 2003 DHS 2008-09 DHS 2014 DHS
% C
hild
ren
Trends in stunting underweight and wasting (WHO reference standards)
Children stunted Children underweight Children wasted
Figure 4: Trends in Stunting, Underweight and Wasting 1993-2014
Although the KDHS 2014 showed that poor nutrition status of women of reproductive age (WRA) was a triple burden, the trend indicated a reduction of undernutrition while overweight and obesity increased. Higher prevalence of obesity is observed in the central region of the country. Comparing the 2008–9 and 2014 KDHS, the proportion of women with a Body Mass Index (BMI) ≥18.5 reduced from 12 percent to 9 percent.
3 Annex 1: Nutrition Indicators Thresholds4 West Pokot, Kitui, Kilifi, Samburu, Narok, Uasin Gishu, Tharaka Nithi, Mandera and Bomet
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 20224
Micronutrient deficiency among children and women
Micronutrient deficiency not immediately evidenced by clinical symptoms affects body function and productivity of an individual. Micronutrient deficiencies of public health importance affects mainly the vulnerable sub-populations (children and women). The deficiencies can be addressed through dietary diversification, food fortification, supplementation and other public health interventions. According to the Kenya National Micronutrient Survey 2011 significant progress was made in reducing the prevalence of micronutrient deficiencies, except for zinc deficiency5.
The prevalence of anaemia was highest in pregnant women (41.6 per cent), followed by children 6–59 months (26.3 per cent) and school–age children (5–14 years) at 16.5 per cent. The prevalence of iron deficiency was 21.8 per cent, 9.4 per cent and 36.1 per cent in the same groups respectively (Table 1). The prevalence of Vitamin A deficiency (VAD) had reduced considerably with preschoolers at 9.2 percent and pregnant women 4.7 percent. The prevalence of zinc deficiency was high across the population groups; 83.3 percent among all the population sub-groups; 81.6 percent among the pre-schoolers, 79.9 percent among non-pregnant women, 67.9 percent among pregnant women and 77.4 among men (Table 1).
Table 1: Prevalence of micronutrient deficiencies among Children(6-59 months) and Women (15-49 years)
Indicators National Prevalencen % 95% CI
Pre-School Children 827 26.3 23.3 29.3School Age Children (Children 5-14 years) 872 16.5 14.0 19.0Pregnant Women 104 41.6 32.1 51.1Non-pregnant Women 592 21.9 18.57 25.23Men 240 9.3 5.87 13.33
Pre-School Children 918 21.8 19.1 24.5School Age Children 942 9.4 7.5 11.3Pregnant Women 111 36.1 27.2 45.0Non-pregnant Women 633 21.3 18.11 24.49Men 247 3.6 1.28 5.92
Pre-School Children 827 13.3 11.0 15.6School Age Children 942 4.9 3.5 6.3Pregnant Women 104 26.0 17.6 34.4Non-pregnant Women 592 14.0 11.20 16.80Men 243 2.9 0.79 5.01
Pre-School Children 918 9.2 7.3 11.1School Age Children 942 4.7 3.4 6.1Pregnant Women 111 5.4 1.2 9.6Non-pregnant Women 632 2.0 0.9 3.1Men 111 0.0 0 0
5 The Ministry of Health, Kenya National Micronutrient Survey 2011
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 5
Indicators National Prevalencen % 95% CI
Pregnant Women 78 32.1 21.7 42.5Non-pregnant Women 445 30.9 26.6 35.2
Pregnant Women 78 7.7 1.8 13.6Non-pregnant Women 445 34.7 30.3 39.1(Serum zinc corrected for inflammation)Pre-School Children 711 81.6 78.8 84.5School Age Children 901 79.0 76.3 81.7Pregnant Women 109 67.9 59.1 76.7Non-pregnant Women 617 79.9 76.7 83.1Men 239 77.4 72.1 82.7
School age Children 951 22.1 19.5 24.7Non-pregnant Women 623 25.6 22.2 29.0
Source: Kenya National Micronutrient Survey, 2011
1.2 Vision, Mission and Mandate of Division of Nutrition and Dietetics The Division of Nutrition and Dietetics (DND) is in the Department of Family Health, Ministry of Health. The vision, mission and mandate of DND are as follows:
Vision
Malnutrition free Kenya.
Mission
To reduce all forms of malnutrition in Kenya using well-coordinated multi-sectoral and community-centered approaches for optimal health of all Kenyans and the country’s economic growth.
Mandate
The mandate includes:
• Policy formulation, standards development and strategic planning;• Provision of nutrition services; • Coordination and resource mobilization;• Nutrition assessments and surveillance;• Capacity strengthening of health and other workers on food and nutrition;• Creation of awareness to the public on food and nutrition;• Procurement and distribution of equipment and supplies for nutrition service delivery;• Food and nutrition operations research;• Administration of the scheme of service for nutrition officers and assistants; and • Monitoring and evaluation of nutrition programmes.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 20226
1.3 Core Values and Guiding Principles
The Division of Nutrition and Dietetics core values are:
• Efficiency and Effectiveness • Accountability • Professionalism • Integrity.• Partnership • Teamwork and collaboration • Innovativeness • Ethics- • Equity Quality• Risk management • Sustainability and ownership
1.4 The Kenya Nutrition Action Plan 2018-2022
The overarching objective of the KNAP 2018-2022 is to accelerate and scale up efforts towards the elimination of malnutrition in Kenya in line with Kenya’s Vision 2030 and sustainable development goals, focusing on specific achievements by 2022. The KNAP is organized into three focus areas: Nutrition-specific, Nutrition-sensitive and Enabling environment. Within the three focus areas are a set of Key Results Areas (KRAs) with corresponding outcomes, outputs, strategies, interventions and activities that are costed and presented within an implementation matrix.
The activities/interventions outlined in the KNAP will be implemented twith an aim to produce a series of results that contributes to the desired goal (impact) for the KNAP which is ‘All Kenyans achieve optimal nutrition for a healthier and better quality of life and improved productivity for the country’s accelerated social and economic growth’. Figure 5 depicts the results logic pyramid of the KNAP combining theory of change and logic framework approaches. The results pyramid framework ensures results-based planning, budgeting, and implementation and performance M&E, and facilitates results-based management of the KNAP.
Figure 5: Results Logical Pyramid of the KNAP
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 7
A Monitoring, Evaluation, Accountability and Learning framework (MEAL) has been developed and targets put in place to measure the progress in implementation of the KNAP over the five-year period during which the KNAP will be implemented. The MEAL framework provides a summary of select results and indicators that will be mutually tracked and reported on by all sectors responsible for the implementation of the KNAP referred to as the Common Results and Accountability Framework (CRAF). The Nutrition Monitoring and Evaluation Framework will therefore provide further guidance on monitoring and evaluation and strengthen multi-sectoral nutrition information systems (NIS), learning and research for players engaged in the implementation of the KNAP at all levels.
1.5 County Nutrition Action Plans (CNAPs) 2018-2022
Counties have adopted the KNAP to develop County Nutrition Action Plans (CNAPs) that address County-specific nutrition issues and interventions that are appropriate for their local context. Through these action plans, Counties will identify priority multi-sectoral nutrition actions, define targets for each intervention and cost interventions which County governments can use for subsequent planning and budgeting. More so, to ensure tracking of these activities, CNAPs will provide a monitoring and accountability framework. Based on the CNAPs and the National Nutrition Monitoring and Evaluation Framework 2018-2022, the counties will develop county level M&E frameworks for tracking of nutrition activities and results as outlined in the respective CNAPs. The M&E frameworks will be integrated in the CNAPs and the yearly M&E activities included in the County Annual Work Plans. Furthermore, mechanisms will be put in place to ensure there is linkage between national and county action plans, effective multisectoral collaboration as well as functioning stakeholder coordination and accountability. The framework will also provide for mechanisms for communication and information sharing within the county and between the two levels of government.
1.6 Process of Development of Monitoring and Evaluation Framework 2018-2022
The Nutrition Monitoring and Evaluation Framework 2018-2022 is the second after the first one which was developed in 2013. The framework is anchored on the ideals of the Kenya Food and Nutrition Security Policy (FSNP) that are unpacked in the KNAP 2018-2022.The framework was developed through a comprehensive participatory and consultative process guided by the Ministry of Health Division of Nutrition and Dietetics through the Kenya National Information Technical Working Group (NITWG). A team of Nutrition and M&E professionals from government agencies, development and implementing partners participated in the development of the framework6.
The development process was preceded by a review of the existing health and nutrition M&E/information system and use of the 2013 nutrition M&E framework to identify gaps and develop recommendations to inform the process. A detailed and extensive desk review of relevant documents including policy documents, KNAP 2018-2022, National Nutrition M&E Framework 2013 was conducted. Stakeholder consultations with donors, development and implementing partners as well as county officials were conducted through Key Informant Interviews. In addition, an online survey was conducted targeting national and county government officials and technical staff in partner agencies. This M&E framework was developed through deliberations of various task review groups and validation workshops to ensure all the key M&E elements in the KNAP 2018-2022 were taken care of. The Framework builds on learning, success, limitations and opportunities of the 2012-2017 NNAP and 2013 M&E Framework period. 1.7 Status of the nutrition M&E and information system According to the M&E system review, Kenya has made commendable progress in establishing a functional nutrition information system though gaps exist especially in monitoring implementation of nutrition plans and programs at process level. The first M&E Framework was finalized in 2013 with an overall goal of guiding monitoring and evaluation of the 2012-2017 National Nutrition Action Plan and to provide quality information for effective planning, decision making, monitoring and evaluation of nutrition interventions in the country.
6 See annex 7 for list of contributors in technical review workshops.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 20228
The objectives of the framework were:
• To provide guidelines on data collection, reporting, feedback and nutrition programming.• To monitor and evaluate quality of nutrition data and activities• To promote data use at all levels to inform decision making and nutrition programming• To produce and disseminate program implementation reports at all levels• To monitor the health sector’s response to nutrition• To contribute towards strengthening of the nutrition information component of health systems• To develop a supervisory framework to facilitate high quality data collection, collation, analysis, reporting
and use at all levels and,• To provide a framework for the systematic linkage of nutrition and food security indicators at National
and County level.
Nutrition M & E is recognized as a critical function of the Division of Nutrition and Dietetics and the nutrition sector. There is a distinct program in the Division that is responsible for national and county level nutrition monitoring, evaluation, accountability and learning. The functions of the program is coordinated through the Nutrition Information Technical Working Group (NITWG). The key functions of the NITWG include:
• Development of standards and guidelines for nutrition information including adoption and adaption of relevant international guidelines
• Development, review and validation of nutrition data collection, procedures/ methodologies, analysis and reporting.
• Produce nutrition situation reports and other information products• Data dissemination for action, maintaining an up to data nutrition information portal in the nutrition
website and ensuring common repository • Capacity strengthening and technical support on nutrition information when and as needed especially
to the counties • Strengthen multi-sectoral linkages on nutrition information through direct participation in various
sectoral and multi-sectoral forums • Promotion of knowledge management; documentation of success and lessons learnt • Strengthen continuity of NITWG partnership with key stakeholders such as NDMA, Kenya National
Bureau of Statistics (KNBS) and enhance linkages with other working groups within the sector.• Quality assurance, technical oversight and supervision.
The M&E framework 2013 contributed to addressing the problem of malnutrition. It was essential for tracking the implementation of the NNAP 2012-2017 which was critical towards the improvement of nutrition outcomes. One measure of success was availability of M&E information from various sources and databases which was useful for informing decision making for programme improvement. Nutrition indicators were integrated in the monthly facility-based Kenya Health Information System (KHIS aggregate/ KHIS) and provided data on nutrition programs coverage such as vitamin A supplementation and iron & folic acid supplementation. The large-scale population-based surveys (e.g. KDHS, KNMS), the more frequent small-scale population-based surveys (e.g., Integrated nutrition SMART surveys and Integrated Management of Acute Malnutrition (IMAM) program coverage assessment) also provided information for monitoring and evaluation of nutrition programmes.
The challenges of implementing the 2013 Nutrition M&E Framework and activities included:
• Limited funding for M&E activities such as technical supervision, capacity development, conducting of review forums and integration of technology in the M&E systems.
• Understaffing and inadequate capacity for nutrition and M&E programmes both at the national and county levels.
• Gaps in technical knowledge in M&E as a result of inadequate capacity development and technical supervision.
• Inefficient M&E practices such as delayed dissemination of information and inadequate utilization of data.
• Inadequate stakeholder co-ordination and accountability mechanisms
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 9
Recommendations from the review of the NIS/ M&E system:
In summary the following recommendations were made as the major considerations for the development of the M&E framework 2018-2022:
• Strengthening and improving the quality of the KHIS data, in terms of comprehensiveness, reporting and utilization.
• Strengthen the evaluation of the KNAP 2018-2022 by including mid-term and end-term reviews and operational research to track the progress and performance of the KNAP and inform programming.
• Improve implementation of the M&E system and NIS by improving multi-sectoral coordination, technical supervision, capacity building on M&E and NIS, dissemination and utilization of M&E data.
• Put in place a central repository for all NIS tool/kit for easy accessibility.• Emphasize the use of technology in M&E such as digitalize trainings (online trainings on NIS and M&E),
dissemination and review of M&E data processes.• Improve and strengthen Advocacy, Communication and Social Mobilization (ACSM) to lobby for profiling
and funding for nutrition programmes and M&E. • Strengthen stakeholder co-ordination and accountability mechanisms at national and county levels
These gaps and challenges identified during the M&E system review and the resulting recommendation necessitates development of the 2018-2022 Nutrition M&E Framework while taking into consideration the key lessons learnt, field experiences, emerging knowledge and alignment to the 2018-2022 KNAP.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202210
DEVELOPMENT OF THE KENYA NUTRITION MONITORING AND EVALUATION FRAMEWORK
CHAPTER 2
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 11
2.1 Rationale
Kenya has numerous nutrition stakeholders including government ministries, development agencies, implementing partners, teaching and research institutions, nutrition working groups and professional associations, as well as the private sector. However, even with many players in nutrition, there has been sub-optimal impact, from implementation of high impact nutrition interventions. This, in part, is attributed to challenges arising from coordination ofnutrition programs in different sectors, the short-term nature of interventions which mainly target emergency situations and inadequate holistic programming leading to interventions with limited scope and impact.
These challenges call for sector-wide approaches to nutrition programming in the country in order to meet the SDGs. In this regard, the Kenya Nutrition Action Plan 2018-2022 was developed to further accelerate and scale up efforts towards the elimination of malnutrition as a problem of public health significance in Kenya by 2030, focusing on specific achievements by 2022. The main purpose of the M&E framework is to ensure continuous tracking of progress, document lessons learned and replicate best practices of nutrition interventions as outlined in the KNAP 2018-2022. Monitoring and evaluation will be an integral part of all aspects of the nutrition interventions. The framework is aligned to the Health Information System (HIS) with focus on strengthening nutrition indicators and systems.
Chapter 6 of the KNAP 2018-2022 broadly defined Monitoring, Evaluation, Accountability and Learning (MEAL) which will facilitate tracking and evaluation of performance, as well as serving as an accountability and learning framework for the various nutrition stakeholders. The M&E framework will provide further guidance on monitoring and evaluation of the KNAP 2018-2022 and Nutrition Information Systems (NIS). The framework will serve as a plan for monitoring and evaluation and will clarify:
1. What is to be monitored and evaluated;2. What activities need to be monitored and evaluated; 3. Who is responsible for monitoring and evaluation of the activities; 4. When monitoring and evaluation activities are planned; and 5. How monitoring and evaluation will be carried out.
The framework will put in place a comprehensive guidance and a harmonized approach to nutrition information management, monitoring and evaluation.
The Framework will enable real time improvement; identify unintended consequences; facilitate the learning of best practices and communication of results. The outputs of the M&E system will help to answer questions relating to delivering on commitments, accountability to right-holders, donors and other players, effectiveness of interventions and consistency of planned interventions with targets. The framework will define progress review and feedback mechanism for results-based accountability between the national and county levels and provide guidance on data collection, analysis, use and reporting of nutrition information for improved programming.
2.2 Goal and Objectives of the M&E Framework 2.2.1 GoalThe goal of the Monitoring and Evaluation Framework is to ensure a systematic monitoring and evaluation of nutrition sector activities in Kenya in line with the Key Result Areas (KRAs) as derived from the Kenya Nutrition Action Plan 2018-2022 and serve as an accountability and learning framework for nutrition stakeholders.
2.2.2 Objectives
• To provide guidelines on data collection, reporting, feedback and use for nutrition programmes.• To monitor and evaluate quality of nutrition data and activities. • To facilitate tracking and evaluation of performance of set targets • To produce and promote data for use at all levels to inform decision making and nutrition programming.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202212
• To produce and disseminate programmes implementation reports at all levels.• To monitor the health sector’s response to nutrition.• To contribute towards strengthening of the nutrition information component of health systems.• To develop a supervisory framework to facilitate high quality data collection, collation, analysis, reporting
and use at all levels.• To strengthen the operational research capacity and coordination mechanism at national and county
levels to generate evidence to inform decision making.• To provide a framework for the systematic linkage of nutrition and food security indicators at national
and county levels. • Rally partners and stakeholders to a common approach to reporting• To provide an accountability and learning framework for the various nutrition stakeholders both at
national and county levels.
2.3 Guiding Principles
The M&E framework is guided by the following principles:1. Three Ones Principle:
a. One national coordinating authority, with a broad-based multi-sector mandate.b. One agreed comprehensive Kenya nutrition plan of action.c. One agreed country level nutrition monitoring and evaluation framework.
2. Mainstreaming of M&E in all nutrition interventions at all levels.3. Decentralization, analysis and storage of data at the operational level.4. Gender and disability mainstreaming, attention to vulnerable groups and regional disparities.5. Participatory approach; consultation of key stakeholders for ownership and use.6. Adherence to national, regional and global standards and M&E ethics.7. Integration and complementarity to existing M&E systems where new data collection may be required
or recommended.8. Efficient use of resources while ensuring quality M&E products are generated. 9. Review and validation of the M&E products through the existing relevant structures.
2.4 Components of the Nutrition Information System (NIS)
NIS is a system of continuous collection, analysis and interpretation of nutrition-related data for making timely and effective decisions to improve the nutritional health of the population. It requires the availability of, access to, and analysis of accurate and adequate information that address national, sub-national and institutional development as well as implementation challenges. NIS comprises of several components (Figure 6):Resources: These include the legislative, regulatory, and planning frameworks required for system functionality and also include personnel, financing, logistics support, information and communications technology (ICT), and mechanisms for coordinating both within and between the components.
Indicators: This includes a complete set of indicators and relevant targets, including inputs, outputs, and outcomes, determinants of health and nutrition, and nutrition status indicators.
Data sources: These include population-based surveys, sentinel surveillance systems, routine administrative data among others
Data management: This includes collection and storage, quality assurance, processing and flow, and compilation and analysis.
Information products: This refers to data which has been analyzed and presented as actionable information.
Dissemination and use: This is the process of making data available to decision-makers and facilitating the use of that information.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 13
Figure 6: Components of Nutrition Information System
2.5 Sources of nutrition data and information
Nutrition programs draws data and information from direct sources as well as from other information systems within and outside the health sector (Figure 7). The main nutrition data and information sources include: 1. Routine data collected through the Health Information System (HIS). This includes data from KHIS,
Logistic Management Information System (LIMIS), Reproductive, Maternal, Newborn, Child and Adolescent Health (RMNCAH) scorecard and Nutrition scorecard.
2. Population based data includes large scale surveys such as Kenya Demographic and Health Survey, Kenya Integrated Household Budget Survey (KIHBS), Kenya National Micronutrient Survey, Multiple Indicator Cluster Surveyand small scale surveys such as Integrated nutrition SMART surveys, Maternal Infant and Young Child (MIYCN) Knowledge, Attitudes and Practices (KAP) assessments, MIYCN-E rapid assessments and IMAM program coverage surveys among others.
3. NDMA Early Warning System - Sentinel Surveillance4. Joint Food Security and Nutrition Seasonal Assessments including situation analysis with Integrated
Phase Classification for acute malnutrition and food Insecurity (IPC AMN and AFI) protocols.5. Mass screening data 6. Special studies and operational researches 7. Project and program reports 8. Nutrition capacity assessment conducted to assess system capacity to deliver nutrition services 9. The online food fortification database 10. The Kenya Nutrition Website7, 11. The interactive Population Based Survey Database8 12. The multisectoral National Information Platform for Food and Nutrition (NiPFN)9.
7 www.nutritionhealth.or.ke8 http://www.nutritionhealth.or.ke/nutrition-reports-on-maps/9 NiPFN is Under development
7 www.nutritionhealth.or.ke 8 http://www.nutritionhealth.or.ke/nutrition-reports- on-maps/9 NiPFN is Under development
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202214
Figure 7: Sources of Nutrition Information and Dissemination platforms
Routine data KHIS, LMIS,
RMCAH scorecard and
Nutrition scorecard.
NDMA EWS, joint Food Security and Nutrition Seasonal
Assessments including IPC AMN and AFI.
Program reports
Special studies and operational
researches
Nutrition capacity
assessment Online food fortification
database
Dissemination platforms:
nutrition website, population based survey database,
NiPN
Mass screening
data
Small scale surveys: SMART surveys, MIYCN KAP, MIYCN-E
rapid assessments, IIMAM program
coverage assessment
Large scale surveys: KDHS, KIHBS, KNMS
MICS
2.6 Nutrition Information System (NIS) and M&E Toolkit
Standardized tools and methods of collection are essential to ensure that the data generated within the NIS/M&E is of good quality. When utilized in a systematic and coordinated manner, these resources help to ensure that indicators are comparable across counties and achieve compatible degrees of disaggregation. Updated training materials, technical guidelines, manuals, forms, registers and report template used in the NIS have been consolidated in a toolkit to allow easy access and are uploaded on the nutrition website (http://www.nutritionhealth.or.ke/resources/).
2.7 Data analysis
Nutrition data from the various sources will be analyzed for use in decision making at all levels of the health system. Analysis will involve systematic data quality assessment and if necessary, adjustment will be done where appropriate. Identifying and accounting for biases because of incomplete reporting, inaccuracies and non-representatives are essential measures and will greatly enhance the credibility of the results for users. The analyses will be transparent and in line with national data analysis standards.
The data will be analyzed by comparing achievements against the set targets or baselines (as well as with international standards e.g. SPHERE standards and MOH guidelines/standards (Annex 1). Analysis will also be done by establishing if the implementations of activities in the nutrition action plan have been conducted to determine whether progress is being made and inform the required adjustment. Data analysis will also be conducted to compare trends of the nutrition situation and interventions at various levels over time.
Nutrition information analysis will be complemented by more complex analyses that provide estimates of the burden of malnutrition, nutrition service coverage, trends in nutrition indicators, and health system performance. In addition, use of nutrition research as well as qualitative data gathered through systematic processes of analyzing nutrition systems characteristics and changes will be considered.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 15
2.8 Data Dissemination
Data and information dissemination refer to targeted distribution of information to a specific audience. It is the process of transfer of data between users with the intention of spreading knowledge and the associated evidence-based interventions for use in policy development, decision making, and programming. Analyzed information will be disseminated through technical forums and meetings, bulletins, quarterly and annual reports and the nutrition website (http://www.nutritionhealth.or.ke/). To ensure effective dissemination use of visuals and dashboards will be employed. Analyzed nutrition information presented in a precise and visual manner is anticipated to enhance:
• The use of information for planning, • Re-strategizing of programme activities, • Forming conclusions and anticipating how to deal with problems, • Replicating best practices, • Accountability, • Advocacy • Documentation of lessons learnt and• Documentation of Human-interest stories.
2.9 Basic Concepts of Monitoring, Evaluation, Accountability and Learning (MEAL)
The logical framework identifies and illustrates the linear relationships flowing from program inputs, processes, outputs, outcomes and impacts. Inputs or resources affect processes or activities which produce immediate results or outputs, ultimately leading to long term or broad results, or outcomes and impacts. Indicators are used to measure performance of programs at different levels. Inputs, processes and outputs are regularly monitored while outcomes and impact are periodically assessed either through surveys or evaluations. The M&E framework will demonstrate to stakeholders to what extent results have been achieved according to priorities in plans and establish a process through which information generated is reflected upon and intentionally used to continuously improve the implementation of the KNAP. Nutrition programs has adopted a basic M & E logical framework as illustrated in figure 8.
Figure 8: M&E Logical Framework
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202216
Inputs: Refer to all those resources that go into the nutrition programs at the onset or start-up phase or during the implementation to help the programs achieve their objectives as stipulated in KNAP and CNAPs. The inputs include human resources, financial resources for conducting various activities. Adequate inputs are critical for the attainment of the desired outputs.
Activities: These are actions taken, or the work performed as part of an intervention. Examples of activities include; technical advice and supervision for health workers involved in various activities, training/capacity development, coordination and review. Activities utilize inputs, such as funds, technical assistance and other types of resources to produce specific outputs. Essentially, activities or tasks are what the project will ‘do’.
Outputs: These refer to all goods and services produced after implementation of activities by those involved in nutrition programs at the national and county levels in line with the priorities of KNAP and CNAPs. These will include the number of training sessions, number of those trained, number of nutrition technical supervisions at county and field levels. Programme inputs must be transformed into outputs. The quantity and quality of the outputs is very important. For instance, if one activity was the training of M&E service providers, the outputs are the number of health service providers trained. The quality of the training should also be “adequate,” so that the training results into Enhanced capacity for the delivery of M&E services. The availability of nutrition and nutrition-related policies to guide programme implementation for example, should result into Improved implementation environment at both national and county levels.
Outcomes: These are changes in behaviours/practices as a result of programme activities. The outputs, if of the right quantity and quality, should produce an outcome. For example, the knowledge and skills acquired by the health service providers should enable them to take accurate anthropometric measurements of children. The desired nutrition programme outcomes are clearly stipulated in KNAP for each Key Result Area.
Impacts: Refer to the achievement of higher level goals which a programme can contribute to, for example reduced malnutrition, improved financing of nutrition programmes, improved legislation for nutrition etc.
Processes: These are activities carried out to achieve the programme objectives. Monitoring of these activities will show what has been done and how well and timely they have been done based on the planned nutrition programme as stipulated in the national and county level M&E Frameworks.
Assumptions: Refers to the external factors, influences, situations or conditions which are necessary for programme but are largely or completely beyond the control of programme management. For example, the KNAP assumes that finances will be available for the implementation of the stipulated nutrition programmes and also for monitoring and evaluation of the programmes both at national and county levels. Accordingly, it is necessary to make assumptions explicit and list them as elements to be monitored or evaluated.
Indicator : A measure of change, progress or state. Programme indicators are at various levels; input, output, process, outcome and impact. Input indicators refer to the resources needed for the implementation of an activity or intervention. Availability of policies, human resources, materials, financial resources are examples of input indicators. An input indicator will measure the extent to which the planned for inputs were actually realized or achieved. Output indicators measure the quantity and sometimes the quality of the outputs as stipulated in the work plans for example number of training sessions and the content covered in the sessions. Process indicators measure the quantity, quality and timeliness of the products (goods or services) that are the result of an activity, as stipulated in the programme work plan. Outcome indicators measure the intermediate results generated by programme outputs and correspond to any change in people’s behavior and practices as a result of project or programme activities. Impact indicators describe progress made towards higher-level goals. Examples of impact indicators derived from the KNAP include; reduced level of malnutrition and improved funding for nutrition programmes.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 17
Monitoring: Monitoring is the process of collecting data on an on-going programme/project/activity analyzing, interpreting and using it to adjust the programme so that it proceeds according to plan. Monitoring of the activities in the in the national and county M&E frameworks will be done through routine collection, collation, analyzing, interpretation and dissemination of data using standardized tools. The frequency of monitoring the activities will be undertaken monthly, quarterly and annually.
Evaluation: Evaluation is the process of collecting data on on-going, completed or yet-to-start programme, analyzing and interpreting the data for purposes of determining the value of the programmes. It is the process to determine as systematically and objectively as possible, the relevance, effectiveness, efficiency and impact of programmes considering specified objectives. Evaluation typically includes measures both at the beginning, midway and at the end of a programme and when possible includes a control or comparison group to help determine whether change in outcome results is from programme activities themselves and not from other influences outside the programmes.
Figure 9 illustrates the timeframe for conducting the baseline, midterm and end line reviews of the KNAP.
Figure 9: KNAP evaluation timeframe
MTR= Midterm Review; ETR/E= End term review/Evaluation
Mid-term review
A Midterm review (MTR) will be conducted to evaluate the progress made at the mid-point of implementation and recommend adjustments in strategy or review of expected targets when deemed necessary. A midterm review is also undertaken to determine the extent to which the objectives are met. Trends may be assessed together using the results of the various assessments and surveys across the different indicator domains – inputs/processes; outputs; outcomes and expected results. A mid-term review will be conducted nationally and therefore will include a representation of the counties and various stakeholders. Each County will review the implementation of the CNAP in relation to the county M&E framework and document the findings in a MTR report. The reports will be shared at the national level for overall analysis and synthesis. National and county level MTR reports will be written on the overall implementation and performance of the KNAP 2018-2022 and CNAPs respectively.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202218
End term evaluation
An end-term review (ETR) will be conducted at the end of the KNAP implementation period to evaluate the overall performance of the plan and use lessons learnt to develop the subsequent interventions of the sector against what had been planned. The ETR will involve a comprehensive analysis of progress and performance for the whole period of the KNAP. The ETR will be conducted in the same manner as the MTR; it will be national with a representation of counties. Counties will conduct reviews and share their findings with the national level. County and national reports will be written on the overall implementation and performance of the CNAPs and KNAPs respectively.
Accountability
This is the obligation to demonstrate by stakeholders to what extent results have been achieved according to established plans and resources allocated10. Accountability will be discussed at county and national review forums and documented in the county and national reports.
Learning
This is the process through which information generated from M&E is reflected upon and intentionally used to continuously improve the ability of an action plan/strategy to achieve results. This learning function enhances organizational and development knowledge to increase the understanding of why particular interventions have been successful. Additionally, this understanding informs decision making and potentially improves performance. National and County level review forums for all stakeholders will be held to facilitate learning and programme changes in terms of implementation.
Reporting
Reporting is the systematic and timely provision of essential information used as a basis for decision-making at appropriate management levels. It is an integral part of the monitoring function. Reporting shall be done at all levels that is community, facility, sub county, county and national levels by the relevant actors on the progress of achievement of the programme implementation as stipulated in KNAP and CNAPs. These review reports will outline the performance against the targets set for the stated period.
The mechanisms for providing M&E information, products, dissemination and provision of feedback to various audiences are shown in Annex 5. The annex details the what, when, where, how, and by whom of the feedback mechanisms for M&E.
10 International Federation of Red Cross and Red Crescent Societies. (2011). Project/Programmes monitoring and evaluation(M&E) guide. Geneva: IFRC.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 19
NUTRITION M&E FRAMEWORK IN KENYA
CHAPTER 3
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202220
The goal of the Monitoring and Evaluation Framework is to ensure a systematic monitoring and evaluation of nutrition sector activities in Kenya in line with the Key Result Areas (KRAs) as derived from the Kenya Nutrition Action Plan 2018-2022 and serve as an accountability and learning framework for nutrition stakeholders. This chapter covers the Common Results and Accountability Framework (CRAF), Indicator matrix by Key Result Area, evaluation, learning and accountability mechanism.
3.1 Common Results Accountability Framework
A set of key indicators and targets referred to as “Common Results and Accountability Framework (CRAF)” were agreed upon during the development of KNAP 2018-2022 to measure progress of achievement of the strategies outlined in the plan. The CRAF uses a logical results framework process at three levels (impacts, outcome and output). The impact targets are derived from three sources: The World Health Assembly (WHA) six targets for 2025; the global Non-Communicable Diseases (NCD) nine voluntary 2025 targets and the National Food and Nutrition Security Policy Implementation (NFNSP-IF) results matrix.
Table 2: Common Results Accountability Framework: KNAP Adopted Nutrition Targets by 2022
S/N KNAP expected results (Global targetsused where applicable)
Indicator Baseline 2014 Target2022
Framework for targets
1 Reduce the prevalence of stunting among children under five years by 40%
Prevalence of stunting inchildren 0-59 months (%)
26KDHS 2014
17 WHA target 1 NFNSP-IF
2 Reduce the prevalence of anaemia in womenof reproductive age by 30%
Prevalence of anaemia inwomen 15-49 years (%)
27KDHS 2014
17 WHA target 2 NFNSP-IF
3 Reduce the prevalence of low birthweight by30%
Prevalence of low birth weightof 2.5 kg and below (%)
8KDHS 2014
5 WHA target 3
4 No increase in childhood overweight/obesity
Prevalence of overweight/obesity (W/A >2SD) of children0-59 months (%)
4KDHS 2014
<4 WHA target 4 & NFNSP-IF
5 Increase the rate of exclusive breastfeeding inthe first six months by 20% and above
Prevalence of exclusivebreastfeeding in children 0-6months (%)
61KDHS 2014
75 WHA target 5 & NFNSP-IF
6 Maintain childhood wasting at less than 4%
Prevalence of wasting (W/H<2SD) in children 0-59 months(%)
4KDHS 2014
<4 WHA target 6 & NFNSP-IF
7 Reduce childhood underweight by 30%
Prevalence of underweight (W/A<2SD) in children 0-59 months
11KDHS 2014
7 NFNSP-IF
8 Maintain proportion of deaths at below 3% forMAM and 10% for SAM
Proportion (%) of dischargesfrom treatment program whohave died(among acutely malnourishedchildren for MAM and SAM)
0.2% for MAM <0.2%MAM
NFNSP-IF
1.7% for SAMDHIS 2
<1.7SAM
9 Reduce anaemia in children 6-59 months by30%
Prevalence of anaemia inchildren 0-59 months (%)
26 18 KNAP
10 Reduce anaemia in pregnant women by 40%or more
Prevalence of anaemia inpregnant women (%)
36KNMS
20 NFNSP-IF
11 Reduce anaemia in adolescent girls by 30%
Prevalence of anaemia in girls15-19 years (%)
21KNMS
15 KNAP
12 Reduce folic acid deficiency among non-pregnant women by 50%
Proportion of non-pregnantwomen with folic acid deficiency(%)
39KNMS
20 NFNSP-IF
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 21
S/N KNAP expected results (Global targetsused where applicable)
Indicator Baseline 2014 Target2022
Framework for targets
13 Reduce vitamin A deficiency in children by 50%
Prevalence of VAD in children0-59 months (%)
9KNMS
4 NFNSP-IF
14 Reduce iodine deficiency among children <5years by over 50%
Prevalence of iodine deficiencyin children <5 years (%)
22KNMS
<10 NFNSP-IF
15 Reduce iodine deficiency among non-pregnantwomen by over 50%
Prevalence of iodine deficiencyin non-pregnant women (%)
26KNMS
<10 NFNSP-IF
16 Reduce prevalence of zinc deficiency in pre-school children by 40%
Prevalence of zinc deficiency inchildren <5 years (%)
83KNMS
50 NFNSP-IF
17 Reduce prevalence of zinc deficiency amongpregnant women by 40%
Prevalence of zinc deficiencyamong pregnant women (%)
60KNMS
36 NFNSP-IF
18 A 10% relative reduction in prevalence ofinsufficient physical activity
Prevalence of insufficientphysical activity in adults 18–64years of age (%)
6.5Stepwise survey
5 NCD target 3
19 Reduce proportion of population with raisedblood pressure or currently on medication by25%
Proportion of population withraised blood pressure orcurrently on medication (%)
24Stepwise survey
18 NCD target 6NFNSP-IF
20 Reduce proportion of population with raisedfasting blood sugar
Proportion of adults 18-69 yearswith raised fasting blood sugar(%)
1.9Stepwise survey
1.5 NFNSP-IF
21 Increased proportion of men with normalwaist: hip ratio
Proportion of men with normalwaist: hip ratio (%)
73Stepwise survey
78 NFNSP-IF
22 Increased proportion of women with normalwaist: hip ratio
Proportion of women withnormal waist: hip ratio (%)
64Stepwise survey
75 NFNSP-IF
23 A 30% relative reduction in mean populationintake of salt/sodium
Mean intake of sodium salt (g/day)
3 <3 NCD target 4
24 Halt and reverse the rise in obesity by 30%
Prevalence of overweight/obesity in adults (18-69 years)
28 20 NCD target 7NFNSP-IF
25 10% of Population accessing health careservices screened and assessed for nutritionstatus
Proportion of populationscreened and assessed fornutrition status while accessinghealthcare services
No Data 10% Clinical Nutrition target 2b
26 Increase access by the population to clinicalnutrition and dietetics services
Proportion of population withaccess to clinical nutrition anddietetics services
No Data 10% Clinical Nutrition target 3
27 Increased budgetary allocation towardsnutrition
Percentage of nutrition budget innational health budget
2% 8% Financing of nutrition
28 Increase coverage of nutrition assessmentcounselling and support for people living withHIV
Percentage of People Livingwith HIV (PLHIV) in care andtreatment who were nutritionallyassessed
< 50% NASCOPQuantification2018
90% HIV Nutrition targets as indicated inquantification plan
29 Increase access to therapeutic andor supplemental food for clinicallyundernourished people living with HIV
Proportion of clinicallyundernourished PLHIV whoreceived therapeutic orsupplementary food
< 50% NASCOPQuantification2018
90% HIV Nutrition targets as indicated inquantification plan
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202222
3.2 Indicators by Key Result Areas
The tables in this section highlight the outcomes, outputs to the outcome, expected results, indicators, baseline, mid-term and end line evaluation and means of verification, frequency of verification, the lead agency responsible for verification and the associated responsible actors. Each KRA has an outcome with several outputs (expected results) and their respective indicators.
For instance, KRA 1 (Maternal Neonatal Infant and Young Child Nutrition) • Outcome 1: Strengthened care practices and services for improved maternal, newborn, infant and
young child nutrition• Output 1.1: Increased proportion of mothers and care givers who practice optimal behaviors for
improved nutrition of women of reproductive age (15-49 years).• Indicator: Proportion of population with an acceptable household food consumption score.
The KRAs are organized according to the three focus thematic areas: outcomes 1-8 are nutrition specific outcomes, outcomes 9-13 are multi-sectorial nutrition sensitive outcomes and outcome 14-19 are enabling environment outcomes.
The frequency of monitoring is based on the indicator level (impact, outcome and output) and source of information. Some indicators may have more than one means of verification hence overlapping frequency and multiple sources of information. For instance, the means of verification (MOVs) for Minimum Dietary Diversity for children 6-23 months old can be in KDHS conducted every 5 years and MIYCN KABP surveys conducted every 2-3 years and therefore the frequency is indicated as 3-5 years.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 23
Tabl
e 3:
KRA
1 (O
utco
me
1) In
dica
tors
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
Te
rmEn
d te
rmM
eans
of
veri
ficat
ion
Freq
uenc
yLe
adA
ssoc
iate
d
OU
TCO
ME
1: K
RA
1 –
MAT
ERN
AL,
NEO
NAT
AL
INFA
NT
AN
D Y
OU
NG
CH
ILD
N
UT
RIT
ION
(MN
IYCN
)St
reng
then
ed ca
re p
ract
ices
and
serv
ices
for i
mpr
oved
mat
erna
l, new
born
, infa
nt
and
youn
g chi
ld n
utri
tion
Outp
ut
1.1
Incr
ease
d pr
opor
tion
of
mot
hers
and
care
giv
ers w
ho
prac
tice
optim
al b
ehav
iors
for
impr
oved
nut
ritio
n of
wom
en o
f re
prod
uctiv
e ag
e (1
5-49
yea
rs)
Prop
ortio
n of
pop
ulat
ion
with
an
acce
ptab
le h
ouse
hold
food
cons
umpt
ion
scor
e (F
CS).
88.8
%(K
DH
S 20
14)
92
%9
5%
(KD
HS
2014
)
KD
HS
Repo
rt
Nut
ritio
n SM
ART
Surv
eys
3-5
year
sM
OH
Part
ners
KN
BS
Outp
ut
1.2
Incr
ease
d pr
opor
tion
of ca
re g
iver
s w
ho p
ract
ice
optim
al b
ehav
iors
fo
r im
prov
ed n
utri
tion
of y
oung
ch
ildre
n un
der f
ive
year
s
Perc
enta
ge o
f chi
ldre
n bo
rn in
the
last
24
mon
ths w
ho w
ere
put t
o th
e br
east
with
in
one
hour
of b
irth
62
%(K
DH
S 20
14)
68
%7
0%
(KD
HS
2014
)
KD
HS
Repo
rt
MIY
CN K
ABP
surv
eys
3-5
year
sM
OH
Part
ners
KN
BS
Prop
ortio
n of
infa
nts 0
–5 m
onth
s of a
ge
who
are
fed
excl
usiv
ely
with
bre
ast m
ilk61
.4%
(KD
HS
2014
)
68
%7
5%
(KD
HS
2014
)
KD
HS
Repo
rt
MIY
CN K
ABP
surv
eys
3-5
year
sM
OH
Part
ners
KN
BS
Prop
ortio
n of
child
ren
18–
23 m
onth
s of
age
who
are
fed
brea
st m
ilk5
3%
(KD
HS
2014
)
57
%60
%
(KD
HS
2014
)
KD
HS
Repo
rt3-
5 ye
ars
MO
HPa
rtne
rs K
NBS
Prop
ortio
n of
infa
nts 6
–8 m
onth
s of a
ge
who
rece
ive s
olid
, sem
i-sol
id o
r sof
t foo
ds.
80
%(K
DH
S 20
14)
83
%85
%
(KD
HS
2014
)
KD
HS
Repo
rt3-
5 ye
ars
MO
HPa
rtne
rs K
NBS
Prop
ortio
n of
child
ren
6–23
mon
ths o
f age
w
ho re
ceiv
e fo
ods f
rom
4 o
r mor
e fo
od
grou
ps.
41
%(K
DH
S 20
14)
49
%55
%
(KD
HS
2014
)
KD
HS
Repo
rt3-
5 ye
ars
MO
HPa
rtne
rs K
NBS
Prop
ortio
n of
bre
astfe
d an
d no
n-br
east
fed
child
ren
6–23
mon
ths o
f age
who
rece
ive
solid
, sem
i-sol
id, o
r sof
t foo
ds (b
ut a
lso
incl
udin
g m
ilk fe
eds f
or n
on-b
reas
tfed
child
ren)
the
min
imum
num
ber o
f tim
es o
r m
ore.
51%
(KDH
S 20
14)
59%
65%
(K
DHS
2014
)
KDH
S Re
port
3-5
year
sM
OHPa
rtne
rs
KNBS
Prop
ortio
n of
child
ren
6–23
mon
ths o
f age
w
ho re
ceiv
e a
min
imum
acc
epta
ble
diet
(W
HO
2010
def
initi
on)
21%
25%
30%
(K
DHS
2014
)
KDH
S Re
port
3-5
year
sM
OHPa
rtne
rs
KNBS
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202224
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
Te
rmEn
d te
rmM
eans
of
veri
ficat
ion
Freq
uenc
yLe
adA
ssoc
iate
d
Prop
ortio
n of
child
ren
6–23
mon
ths o
f ag
e w
ho re
ceiv
e an
iron
-ric
h fo
od o
r iro
n-fo
rtifi
ed fo
od th
at is
spec
ially
des
igne
d fo
r inf
ants
and
you
ng ch
ildre
n, o
r tha
t is
fort
ified
in th
e ho
me.
33.3
%
(KDH
S 20
14)
36%
40%
(K
DHS
2014
)
KDH
S Re
port
3-5
year
sM
OHPa
rtne
rs
KNBS
Prop
ortio
n of
child
ren
0–23
mon
ths o
f age
w
ho a
re fe
d w
ith a
bot
tle.
22%
(K
DHS
2014
)
17%
15%
(K
DHS
2014
)
KDH
S Re
port
3-5
year
sM
OHPa
rtne
rs
KNBS
No
of H
uman
Milk
Ban
ks E
stab
lishe
d1
23
DND
Repo
rtAn
nual
lyDN
DPa
rtne
rsKN
BSOu
tput
1.
3.M
IYCN
adv
ocat
ed fo
r at g
loba
l, na
tiona
l and
coun
ty le
vels
Prop
ortio
n of
coun
ties w
ith in
itiat
ives
for
wor
kpla
ce su
ppor
t for
bre
astfe
edin
g at
pu
blic
and
pri
vate
wor
k pl
aces
No
Data
25%
50%
DND
Repo
rtAn
nual
lyDN
DCo
unty
Outp
ut
1.4
Enha
nced
capa
city
for
impl
emen
tatio
n of
MIY
CN
activ
ities
at a
ll le
vels
No.
of n
atio
nal n
utri
tion
conf
eren
ces/
sym
posi
um h
eld
03
5DN
D Re
port
Annu
ally
DND
Part
ners
and
st
akeh
olde
rs
Outp
ut
1.5.
Impr
oved
MIY
CN p
olic
y en
viro
nmen
t at n
atio
nal a
nd
coun
ty le
vel
No.
of M
IYCN
pol
icie
s/ st
rate
gies
revi
ewed
02
4DN
D Re
port
DND
3 ye
ars
Part
ners
and
nu
triti
on
stak
ehol
ders
Tabl
e 4:
KRA
2 (O
utco
me
2) In
dica
tors
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
Te
rmEn
d te
rmM
eans
of
veri
ficat
ion
Freq
uenc
yLe
adA
ssoc
iate
d
KRA
2: N
UTR
ITIO
N O
F O
LDER
CH
ILD
REN
AN
D A
DO
LESC
ENTS
Incr
ease
d nu
trit
ion
awar
enes
s an
d up
take
of n
utri
tion
ser
vice
s fo
r im
prov
ed
nutr
itio
n st
atus
of o
lder
chi
ldre
n (5
-9 y
ears
) and
ado
lesc
ents
(10-
19 y
ears
)Ou
tput
2.
1In
crea
sed
awar
enes
s on
heal
thy
diet
s am
ong
care
give
rs, s
ocia
l in
fluen
cers
, old
er ch
ildre
n an
d ad
oles
cent
s the
mse
lves
.
No.
of t
rain
ings
of k
ey st
akeh
olde
rs o
n nu
triti
on fo
r old
er ch
ildre
n3 (D
ND
2017
)
710
Trai
ning
re
port
sAn
nual
lyDN
DPa
rtne
rs
Outp
ut
2.2
Redu
ctio
n of
mar
ketin
g of
un
heal
thy
food
s am
ong
olde
r ch
ildre
n an
d ad
oles
cent
s
Prop
ortio
n of
thin
ado
lesc
ents
(fal
ling
belo
w cu
toff
for B
MI-f
or -a
ge)
No
Base
line
Data
40%
30%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Prop
ortio
n of
ado
lesc
ents
falli
ng b
elow
cu
t-of
f for
hei
ght-
for-
age
(Stu
ntin
g)N
o Ba
selin
e Da
ta
50%
40%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Prop
ortio
n of
obe
se a
dole
scen
ts (f
allin
g ab
ove
cut o
ff fo
r BM
I-for
-age
)N
o ba
selin
e Da
ta
30%
15%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 25
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
Te
rmEn
d te
rmM
eans
of
veri
ficat
ion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
2.3:
Enha
nced
link
ages
and
co
llabo
ratio
n w
ith re
leva
nt
sect
ors t
o pr
omot
e th
e he
alth
and
nu
triti
on o
f the
old
er ch
ild a
nd
adol
esce
nt
No
of co
llabo
ratio
ns w
ith re
leva
nt se
ctor
s on
nut
ritio
n fo
r old
er ch
ildre
n an
d ad
oles
cent
s
No
base
line
data
710
M
inut
es o
n co
llabo
ratio
n m
eetin
gs
Annu
ally
DN
DPa
rtne
rs
Tabl
e 5:
KRA
3 (O
utco
me
3) In
dica
tors
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
OU
TCO
ME
3: K
RA
3 –
AD
ULT
S A
ND
OLD
ER P
ERSO
NS
Impr
oved
nut
riti
on s
tatu
s of
adu
lts
and
olde
r pe
rson
s
Outp
ut
3.1
Prom
otio
n of
nut
ritio
n su
ppor
t fo
r old
er p
erso
nsPr
opor
tion
of co
untie
s with
stra
tegi
es
on m
anag
emen
t of n
utri
tion
of th
e ol
der
pers
ons i
n th
eir C
NAP
0 (DN
D
2018
)
32
perc
ent
64 p
erce
ntCo
unty
CN
APAn
nual
lyCo
unty
Part
ners
Outp
ut
3.2
Stre
ngth
ened
food
and n
utri
tion
secu
rity
syst
ems f
or o
lder
pe
rson
s.
No.
of m
appi
ng su
rvey
s on
food
and
nu
triti
on se
curi
ty co
nduc
ted
0 (DN
D
2018
)
01
Map
ping
Rep
ort
Quar
terly
/ An
nual
lyM
OH
Part
ners
Outp
ut
3.3
Advo
cacy
, com
mun
icat
ion
and
soci
al m
obili
zatio
n of
nut
ritio
n of
ol
der p
erso
ns st
reng
then
ed a
nd
prom
oted
Prop
ortio
n of
pop
ulat
ion
awar
e of
ger
iatr
ic
nutr
ition
No
data
(2
018)
10
%40
%
(MO
H
2018
)
KAP
surv
ey3
year
sM
OH
Part
ners
Stre
ngth
ened
fina
ncin
g an
d hu
man
reso
urce
capa
city
m
echa
nism
s for
nut
ritio
n in
terv
entio
ns fo
r old
er p
erso
ns
Prop
ortio
n of
nut
ritio
n bu
dget
allo
cate
d to
th
e ol
der p
erso
ns0 (M
OH
20
18)
2%
2%
(MO
H
2018
)
Budg
et
item
izat
ion
Annu
ally
MO
HPa
rtne
rs
No.
of c
ount
ies i
nclu
ding
old
er p
erso
ns, i
n th
eir b
udge
tary
dev
elop
men
t pro
cess
0 (MO
H
2018
)
20
%4
8%
(MO
H
2018
)
Part
icip
ant l
ists
Annu
ally
Coun
tyPa
rtne
rs
Tabl
e 4:
KRA
2 (O
utco
me
2) In
dica
tors
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
Te
rmEn
d te
rmM
eans
of
veri
ficat
ion
Freq
uenc
yLe
adA
ssoc
iate
d
KRA
2: N
UTR
ITIO
N O
F O
LDER
CH
ILD
REN
AN
D A
DO
LESC
ENTS
Incr
ease
d nu
trit
ion
awar
enes
s an
d up
take
of n
utri
tion
ser
vice
s fo
r im
prov
ed
nutr
itio
n st
atus
of o
lder
chi
ldre
n (5
-9 y
ears
) and
ado
lesc
ents
(10-
19 y
ears
)Ou
tput
2.
1In
crea
sed
awar
enes
s on
heal
thy
diet
s am
ong
care
give
rs, s
ocia
l in
fluen
cers
, old
er ch
ildre
n an
d ad
oles
cent
s the
mse
lves
.
No.
of t
rain
ings
of k
ey st
akeh
olde
rs o
n nu
triti
on fo
r old
er ch
ildre
n3 (D
ND
2017
)
710
Trai
ning
re
port
sAn
nual
lyDN
DPa
rtne
rs
Outp
ut
2.2
Redu
ctio
n of
mar
ketin
g of
un
heal
thy
food
s am
ong
olde
r ch
ildre
n an
d ad
oles
cent
s
Prop
ortio
n of
thin
ado
lesc
ents
(fal
ling
belo
w cu
toff
for B
MI-f
or -a
ge)
No
Base
line
Data
40%
30%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Prop
ortio
n of
ado
lesc
ents
falli
ng b
elow
cu
t-of
f for
hei
ght-
for-
age
(Stu
ntin
g)N
o Ba
selin
e Da
ta
50%
40%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Prop
ortio
n of
obe
se a
dole
scen
ts (f
allin
g ab
ove
cut o
ff fo
r BM
I-for
-age
)N
o ba
selin
e Da
ta
30%
15%
(S
TEPS
)KD
HS/
St
epw
ise
surv
ey R
epor
t
5 ye
ars
DND
Part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202226
Tabl
e 6:
KRA
4 (O
utco
me
4) In
dica
tors
OU
TCO
ME
4: K
RA
4 M
ICR
ON
UT
RIE
NTS
Impr
oved
mic
ronu
trie
nt s
tatu
s of
Chi
ldre
n, a
dole
scen
ts, w
omen
of r
epro
duct
ive
age,
m
en a
nd o
lder
per
sons
Out
put
Expe
cted
Res
ults
In
dica
tor
Bas
elin
eM
id te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
4.1
Stre
ngth
ened
rout
ine
mic
ronu
trie
nt su
pple
men
tatio
n (v
itam
in A
, iro
n an
d fo
late
, and
po
int o
f use
fort
ifica
tion)
for
targ
eted
gro
ups
Prop
ortio
n of
child
ren
aged
6-5
9 m
onth
s re
ceiv
ing
Vita
min
A su
pple
men
ts a
t lea
st
two
dose
s ann
ually
.
46
%(K
HIS
20
17)
56
%6
5%
(KH
IS
2017
)
DH
IS R
epor
tB
i-an
nua
lly /
ann
ually
MO
HUN
ICEF
, NI,
Map
Intil
, KR
CS,
Prop
ortio
n of
pre
gnan
t wom
en w
ho ta
ke
Iron
and
Fol
ate
Supp
lem
ents
for a
t lea
st 9
0 da
ys
8%
(KH
IS
2017
)
15
%(K
HIS
20
17)
40
%(K
HIS
20
17)
DH
IS R
epor
tM
onth
lyM
OH
NI,
UNIC
EF,
WVK
, KRC
S,Sa
ve th
e Ch
ildre
n, W
FP
Perc
enta
ge o
f chi
ldre
n ag
ed 6
-23
mon
ths
prov
ided
with
mul
tiple
mic
ronu
trie
nt
pow
ders
No
data
(2
018)
10
%2
5%
(KH
IS
2017
)
DH
IS R
epor
tM
onth
lyM
OH
NI,
UNIC
EF,
WFP
, WVK
, GA
IN
Outp
ut
4.2
Incr
ease
d di
etar
y di
vers
ity a
nd
bio-
fort
ifica
tion
of fo
od p
lant
sPr
opor
tion
of th
e po
pula
tion
acce
ssin
g ad
equa
te m
icro
-nut
rient
inta
keN
o da
ta
(201
8)>
15
%>
25
%H
ouse
hold
Fo
od
cons
umpt
ion
Surv
ey,
KIH
BS,
Annu
al fo
od
prod
uctio
n re
port
s, An
nual
food
as
sess
men
t re
port
s.
Qua
rter
ly/
Ann
ually
MoA
&
MoH
FAO
, KEM
RI
Outp
ut
4.3
Impr
oved
com
plia
nce
to fo
od
fort
ifica
tion
stan
dard
sPr
opor
tion
of a
dequ
atel
y fo
rtifi
ed fo
ods
in th
e m
arke
t (m
aize
and
whe
at fl
our,
salt,
fa
ts/o
ils)
No
data
(2
018)
60
%8
0%
Peri
odic
su
rvey
sA
nn
ually
MO
HKE
BS, N
PHL,
Is
trie
s
Outp
ut
4.4
Incr
ease
d kn
owle
dge,
impr
oved
pr
actic
es a
nd co
vera
ge o
f for
tifie
d fo
ods
Prop
ortio
n of
hou
seho
lds c
onsu
min
g fo
rtifi
ed fo
ods (
mai
ze a
nd w
heat
flou
r, sa
lt,
fats
/oils
)
No
Data
(2
018)
50
%7
0%
Surv
ey
Repo
rts;
KD
HS;
KIH
BS
3 ye
ars
MO
HKE
BS, N
PHL,
Is
trie
s
Outp
ut
4.5
Inte
grat
ed p
ublic
hea
lth m
easu
res
with
oth
er m
icro
nutr
ient
de
ficie
ncie
s pre
vent
ion
and
cont
rol i
nter
vent
ions
.
Prop
ortio
n of
pub
lic h
ealth
inte
rven
tions
in
tegr
atin
g M
icro
nutr
ient
s def
icie
ncy
and
cont
rol m
easu
res.
No
data
(2
018)
24
Prog
ram
mes
re
port
s, An
nual
Wor
k Pl
an re
port
s.
An
nua
llyM
OH
MO
E
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 27
Tabl
e 7:
KRA
5 (O
utco
me
5) In
dica
tors
OU
TCO
ME
5: K
RA
5 –
DR
NCD
S (D
iet r
elat
ed N
on-c
omm
unic
able
dis
ease
s.R
educ
ed p
reva
lenc
e of
die
t rel
ated
risk
fact
ors f
or N
CDs i
n ge
nera
l pop
ulat
ion
Impr
oved
man
agem
ent a
nd co
ntro
l of t
he n
on-c
omm
unic
able
dis
ease
s thr
ough
nu
trit
ion
ther
apy
Out
put
Expe
cted
Res
ults
In
dica
tor
Bas
elin
eM
id te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
5.1
Rais
ed p
rior
ity a
ccor
ded
to
Nut
ritio
n in
NCD
s at n
atio
nal a
nd
coun
ty le
vels
and
to in
tegr
ate
thei
r pre
vent
ion
and
cont
rol i
nto
polic
ies a
cros
s all
gove
rnm
ent a
nd p
riva
te se
ctor
s.
Num
ber o
f NCD
- ICC
mee
ting
with
re
pres
enta
tion f
rom
NIT
WG
No
data
(2
018)
24
ICC
mee
tings
m
inut
esQu
arte
rly/
Annu
ally
MO
H-
NCD
DN
DCi
vil S
ocie
ty
Orga
niza
tions
CoG
Prop
ortio
n of
coun
ties w
ith b
udge
ts fo
r N
CDs
10
%1
5%
30
%Co
untie
s AW
Ps
and
inve
stm
ent
plan
sCo
unty
Rep
orts
Annu
ally
COG
Trea
sury
Prop
ortio
n of
Nat
iona
l hea
lth b
udge
t al
loca
ted
to N
CDs
No
data
(2
018)
1%
5%
Min
iste
rial
AW
Ps a
nd
inve
stm
ent
plan
s
Annu
ally
MO
H-
NCD
Trea
sury
Outp
ut
5.2
Stre
ngth
ened
nat
iona
l and
coun
ty
capa
city
, lea
ders
hip,
gov
erna
nce
and
part
ners
hips
to a
ccel
erat
e co
untr
y re
spon
se fo
r pre
vent
ion
of N
CDs
Num
ber o
f pol
icy
mak
ers a
nd h
ealth
ca
re w
orke
rs tr
aine
d on
Nut
ritio
n- N
CD
prev
entio
n an
d m
anag
emen
t
100
200
500
Trai
ning
at
tend
ance
list
Trai
ning
repo
rts
Quar
terly
/an
nual
ly
DN
CD
DN
DCo
unty
Go
vern
men
ts
Outp
ut
5.3
Incr
ease
vis
ibili
ty o
f NCD
s with
in
publ
ic &
pri
vate
med
ia h
ouse
sPr
opor
tion
of p
ublic
& p
riva
te m
edia
ho
uses
sens
itize
d on
nut
ritio
n an
d N
CDs
No
data
(2
018)
8%
25
%M
inut
es,
Atte
ndan
ce li
st,
repo
rts
Annu
ally
DN
CD
DN
DPa
rtne
rs C
ivil
Soci
ety
Outp
ut
5.4
Prev
entio
n an
d co
ntro
l of
NCD
s int
egra
ted
into
pol
icie
s ac
ross
rele
vant
gov
ernm
ent
sect
ors.
Num
ber o
f NCD
s pre
vent
ion
and
cont
rol
polic
ies i
n se
ctor
s out
side
hea
lth
(Agr
icul
ture
,Tr
ade,
Edu
catio
n, L
abor
, Inf
rast
ruct
ure,
Fi
nanc
e, P
lann
ing
and
Envi
ronm
ent
No
data
(2
018)
48
Polic
ies
exis
ting
and
deve
lope
dAn
nual
ly
Min
istr
y of
Agr
icul
-tu
re, T
rade
, Ed
ucat
ion,
La
bour
, In-
fras
truc
ture
, Pl
anni
ng,
Envi
ronm
ent
Part
ners
Civ
il So
ciet
y D
NCD
H
Outp
ut
5.5
Hea
lthy
diet
s and
life
styl
es
prom
oted
to re
duce
the
mod
ifiab
le ri
sk fa
ctor
s for
NCD
s
Prop
ortio
n of
pop
ulat
ion
read
ing
nutr
ient
co
nten
t in
food
pro
duct
sN
o da
ta
(201
8)10
%30
%Ac
ts o
f pa
rlia
men
t, ho
useh
old
surv
ey re
port
s
2 ye
ars
DNCD
DN
DCi
vil S
ocie
ty
Part
ners
Outp
ut
5.6
Qual
ity a
nd ti
mel
y tr
eatm
ent f
or
NCD
s is p
rovi
ded
Prop
ortio
n of
pub
lic h
ospi
tals
with
NCD
an
d nu
triti
on m
anag
emen
t cen
ters
10%
30%
65%
M&
E Re
port
s DH
IS re
port
sM
onth
ly/
quar
terly
MOH
- DN
CDKN
BS
Outp
ut
5.7
Impr
oved
mon
itori
ng a
nd
eval
uatio
n fo
r die
t rel
ated
NCD
sN
umbe
r of N
CD in
dica
tors
capt
ured
in
DHIS
and
oth
er d
ata
repo
rtin
g pl
atfo
rms
412
20Qu
arte
rly
and
annu
al
repo
rts i
n DH
IS a
nd o
ther
pl
atfo
rms
Quar
terly
/ an
nual
lyM
OH-
DNCD
, HIS
H
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202228
Tabl
e 8:
KRA
6 (O
utco
me
6) In
dica
tors
OU
TCO
ME
6: K
RA
6 –
(Int
egra
ted
Man
agem
ent o
f Acu
te M
alnu
trit
ion)
IM
AM
Incr
ease
d co
vera
ge o
f int
egra
ted
Man
agem
ent o
f Acu
te M
alnu
trit
ion
(IM
AM
)O
utpu
t Ex
pect
ed R
esul
ts
Indi
cato
r B
asel
ine
Mid
te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
6.1
IMAM
ser
vice
s ac
ross
all
coho
rts
revi
ewed
and
scal
e up
No.
of h
ealth
faci
litie
s with
cap
acity
fo
r IM
AM S
ervi
ce d
eliv
ery
1873
2100
2500
KH
ISM
onth
lyD
ND
CoG
Prop
ortio
n of
child
ren
with
acu
te
mal
nutr
ition
acc
essi
ng IM
AM
serv
ices
No
Base
line
Data
75
%85
%
(KH
IS)
KH
IS
(MO
H71
3)Se
ason
al
Asse
ssm
ent
Repo
rts
Mon
thly
DN
DCo
G
No.
of h
ealth
faci
litie
s im
plem
entin
g IM
AM se
rvic
es18
7321
0025
00K
HIS
Mon
thly
DN
DCo
G
Outp
ut
6.2
Qua
lity
of IM
AM se
rvic
es
impr
oved
Num
ber o
f cou
ntie
s m
eetin
g sp
here
st
anda
rds f
or IM
AMN
o Ba
selin
e Da
ta
2047
KH
ISM
onth
lyD
ND
CoG
Tabl
e 9:
KRA
7 (O
utco
me
7) In
dica
tors
OU
TCO
ME
7: K
RA
7 -
EMER
GEN
CIES
Impr
oved
mul
ti-le
vel,
and
mul
ti-s
ecto
ral c
apac
ity
for
risk
pre
pare
dnes
s, re
duct
ion
and
mit
igat
ion
agai
nst i
mpa
ct o
f dis
aste
rsO
utpu
tEx
pect
ed R
esul
ts
Indi
cato
r B
asel
ine
Mid
te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
7.1
Func
tiona
l Coo
rdin
atio
n co
mm
ittee
s in
plac
e an
d in
tegr
atin
g pr
epar
edne
ss a
nd
risk
redu
ctio
n ag
enda
/ ac
tions
Func
tiona
l nat
iona
l em
erge
ncy
prep
ared
ness
coor
dina
tion
stru
ctur
esN
oYe
sYe
sM
eetin
g m
inut
esQ
uart
erly
DN
DCo
unty
Outp
ut
7.2
Nut
ritio
n se
ctor
repr
esen
tatio
n in
mul
ti se
ctor
al co
ordi
natio
n fo
rum
s for
pre
pare
dnes
s and
ri
sk re
duct
ion
Prop
ortio
n of
mul
ti se
ctor
al
coor
dina
tion
foru
ms f
or e
mer
genc
y pr
epar
edne
ss w
ith n
utri
tion
sect
or
repr
esen
tatio
n an
nual
ly
No
Base
line
Data
80
%10
0%M
eetin
g m
inut
esQ
uart
erly
DN
DCo
unty
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 29
OU
TCO
ME
7: K
RA
7 -
EMER
GEN
CIES
Impr
oved
mul
ti-le
vel,
and
mul
ti-s
ecto
ral c
apac
ity
for
risk
pre
pare
dnes
s, re
duct
ion
and
mit
igat
ion
agai
nst i
mpa
ct o
f dis
aste
rsOu
tput
7.
3Nu
triti
on in
tegr
ated
in D
isas
ter
prep
ared
ness
and
resp
onse
pl
an a
t Cou
nty
leve
l
Num
ber o
f cou
ntie
s im
plem
entin
g IM
AM s
urge
812
15IM
AM
sur
ge
repo
rts
Mon
thly
DN
DCo
unty
Num
ber o
f cou
ntie
s with
inte
grat
ed
cont
inge
ncy,
prep
ared
ness
and
re
spon
se p
lans
2347
47Up
date
d Co
unty
co
ntin
genc
y, pr
epar
edne
ss
and
resp
onse
pl
ans
Bi a
nnua
lly.
DN
DCo
unty
Outp
ut
7.4
Enha
nced
Nut
ritio
n se
ctor
pa
rtic
ipat
ion
in e
arly
war
ning
sy
stem
revi
ew p
roce
sses
Prop
ortio
n of
revi
ew m
eetin
gs o
n ea
rly
war
ning
syst
em w
ith N
utri
tion
Sect
or
pres
ence
50
%8
0%
100%
Revi
ew
mee
ting
repo
rt a
nd
min
utes
Quar
terly
DN
DCo
unty
Outp
ut
7.5
Impr
oved
nut
ritio
n ne
eds
asse
ssm
ents
dur
ing
emer
genc
ies
Prop
ortio
n of
em
erge
ncy
resp
onse
s in
clud
ing
nutr
ition
nee
ds
asse
ssm
ents
dur
ing
emer
genc
ies
No
data
(2
018)
75
%8
0%
Asse
ssm
ents
Re
port
sAn
nual
lyD
ND
Coun
ty
Outp
ut
7.6
Incr
ease
d ac
cess
to H
igh
impa
ct
Nutr
ition
inte
rven
tions
as
part
of e
mer
genc
y re
spon
se
(MIY
CN-E
, IM
AM
,
Mic
ronu
trie
nt
supp
lem
enta
tion,
Dew
orm
ing,
W
ASH
inte
rven
tions
)
Prop
ortio
n of
em
erge
ncy
resp
onse
s in
tegr
atin
g co
mpr
ehen
sive
Hig
h Im
pact
Nut
ritio
n in
terv
entio
ns (I
MAM
, M
icro
nutr
ient
supp
lem
enta
tion,
De
wor
min
g, W
ASH
inte
rven
tions
) du
ring
em
erge
ncie
s
No
Base
line
Data
75
%8
5%
Rout
ine
Prog
ram
mes
re
port
s
Mon
thly
DN
DCo
unty
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202230
Tabl
e 11
: KRA
9 (O
utco
me
9) In
dica
tors
OU
TCO
ME
9: K
RA
9 –
CLI
NIC
AL
NU
TR
ITIO
N A
ND
DIE
TET
ICS
Impr
oved
and
sca
led
up p
ract
ices
rela
ted
to c
linic
al n
utri
tion
and
die
teti
cs fo
r di
seas
e pr
even
tion
, con
trol
and
man
agem
ent
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
9.1
Nutr
ition
scre
enin
g, as
sess
men
t an
d tr
iage
to a
ll in
divi
dual
s see
king
he
alth
care
pro
mot
ed
Prop
ortio
n of
pop
ulat
ion
acce
ssin
g he
alth
care
serv
ices
at t
he fa
cilit
ies
scre
ened
and
ass
esse
d fo
r nut
ritio
n st
atus
No
base
line
data
10
%2
0%
KH
ISM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.2
Enha
nced
nut
ritio
n sc
reen
ing
and
asse
ssm
ent a
t fac
ility
leve
lPr
opor
tion
of h
ealth
faci
litie
s im
plem
entin
g the
nat
iona
l SOP
s on
nutr
ition
scre
enin
g, a
sses
smen
t and
tr
iage
No
base
line
data
40
%6
0%
KH
ISM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Prop
ortio
n of
hea
lth fa
cilit
ies e
quip
ped
with
nut
ritio
n sc
reen
ing
and
asse
ssm
ent
equi
pmen
t
No
base
line
data
50
%6
5%
Coun
ty
repo
rts
Faci
lity
asse
ssm
ent
repo
rts
Quar
terly
MoH
, D
ND
Coun
ty
Gove
rnm
ents
Outp
ut
9.3
Stre
ngth
ened
Inte
r-fa
cility
refe
rral
syst
em fo
r nu
triti
on se
rvic
es
No.
of c
ount
ies s
ensi
tized
on
the
use
of
stan
dard
inte
r-fa
cilit
y nu
triti
on re
ferr
al
tool
No
base
line
data
2547
Prog
ram
Re
port
sQu
arte
rlyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.4
Impr
oved
qua
lity o
f car
e in t
he
nutr
ition
man
agem
ent o
f dis
ease
s, co
- mor
bidi
ties a
nd co
nditi
ons
No.
of c
ount
ies s
ensi
tized
on
the
use
of
natio
nal b
asic
ess
entia
l nut
ritio
n ca
re
pack
age
in m
anag
emen
t of d
isea
ses,
co-
mor
bidi
ties a
nd co
nditi
ons
No
base
line
data
2547
Prog
ram
Re
port
sM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.5
Stre
ngth
ened
man
agem
ent o
f m
alnu
triti
on in
dis
ease
and
illn
ess
Prop
ortio
n of
hos
pita
ls w
ith d
isea
se-
spec
ific t
hera
peut
ic fe
eds a
nd
supp
lem
ents
for m
anag
emen
t of
mal
nutr
ition
in il
lnes
s and
dis
ease
No
base
line
data
50
%6
5%
Coun
ty
repo
rts
Faci
lity
asse
ssm
ent
repo
rts
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
Outp
ut
9.6
Clin
ical
nut
ritio
n an
d di
seas
e m
anag
emen
t in
the
com
mun
ityPr
opor
tion
of co
untie
s sen
sitiz
ed o
n co
ntin
uum
of n
utri
tion
care
in th
e co
mm
unity
No
base
line
20
%4
0%
Trai
ning
Re
port
At
tend
ance
sh
eets
MoH
, DN
DD
ND
Quar
terly
Coun
ty
Gove
rnm
ents
Outp
ut
9.7
Impr
oved
patie
nt fe
edin
g in
heal
th
care
inst
itutio
nsPr
opor
tion
of h
ospi
tals
offe
ring
inpa
tient
fe
edin
g w
ith st
anda
rd th
erap
eutic
food
pr
oduc
tion
units
No
base
line
5%
10
%Co
unty
Re
port
s Fa
cilit
y as
sess
men
t re
port
s
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
No.
of c
ount
ies s
ensi
tized
on
the
use
of
mon
itori
ng to
ol fo
r inp
atie
nt fe
edin
gN
o ba
selin
e10
35Tr
aini
ng
Repo
rt
Atte
ndan
ce
shee
ts
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
Outp
ut
9.8
Stre
ngth
ened
tech
nica
l cap
acity
for
clin
ical
nut
ritio
n an
d di
etet
ics
Prop
ortio
n of
hea
lth ca
re w
orke
rs
trai
ned
on cl
inic
al n
utri
tion
pack
age
No
base
line
20
%4
0%
Coun
ty
Repo
rtM
oH, D
ND
DN
DA
nnua
llyCo
unty
Go
vern
men
ts
Tabl
e 10
: KRA
8 (O
utco
me
8) In
dica
tors
OU
TCO
ME
8: K
RA
8 –
NU
TR
ITIO
N IN
HIV
AN
D T
BR
educ
ed im
pact
of H
IV re
late
d co
-mor
bidi
ties
am
ong
Peop
le L
ivin
g w
ith
HIV
thro
ugh
targ
eted
nut
riti
on th
erap
yO
utpu
tEx
pect
ed R
esul
ts
Indi
cato
r B
asel
ine
Mid
te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
8.1
Impr
oved
rout
ine
scre
enin
g fo
r nu
triti
on p
robl
ems a
nd re
ferr
al fo
r al
l TB
and
HIV
pat
ient
s
Prop
ortio
n of
pat
ient
s scr
eene
d an
d re
ferr
ed fo
r nut
ritio
n pr
oble
ms
60.1
%75
%95
%K
HIS
Qua
rter
lyM
OH
–
NA
SCO
PN
utri
tion
Coun
ty,
Part
ners
Outp
ut
8.2
Incr
ease
d co
vera
ge fo
r nut
ritio
n
inte
grat
ion
for s
cree
ning
and
re
ferr
al o
f PLH
IV a
nd T
B Pa
tient
s in
nut
ritio
n cl
inic
s
No
of fa
cilit
ies c
ondu
ctin
g nu
triti
on
scre
enin
g for
HIV
and
TB
in n
utri
tion
clin
ics f
or id
entif
icat
ion
12.7
%15
%30
%An
nual
repo
rts,
Coun
ty re
port
sAn
nual
lyM
OH
-NAS
COP
Coun
ties
Gove
rnm
ents
, Pa
rtne
rsPr
opor
tion
of h
ealth
faci
litie
s equ
ippe
d w
ith n
utri
tion
scre
enin
g an
d as
sess
men
t eq
uipm
ent
No
base
line
data
50
%6
5%
Bian
nual
Co
mm
odity
su
ppor
t su
perv
isor
re
port
sCo
unty
repo
rts
Faci
lity
asse
ssm
ent
repo
rts
Qua
rter
lyM
oH,
NA
SCO
PN
utri
tion
Coun
ty
Gove
rnm
ents
Outp
ut
8.3
Stre
ngth
ened
inte
grat
ion
of
nutr
ition
inte
rven
tions
for h
ome-
base
d ca
re a
t com
mun
ity le
vel f
or
PLH
IVs t
owar
ds th
e 90
.90.
90
Prop
ortio
n of
hea
lth fa
cilit
ies u
nder
taki
ng
nutr
ition
inte
grat
ion
activ
ities
12.7
%3
0%
50
%Pr
ogra
mm
es
repo
rts
Mon
thly
MO
H
NA
SCO
PN
utri
tion
Coun
ties
Part
ners
Outp
ut
8.4
Enha
nced
use
of i
mpl
emen
tatio
n re
sear
ch to
gen
erat
e ev
iden
ce fo
r co
st e
ffect
ive
nutr
ition
TB
and
HIV
pr
ogra
mm
ing
Prop
ortio
n of
in co
untr
y re
sear
ch re
sults
in
use
in th
e co
untr
y in
HIV
nut
ritio
n pr
ogra
mm
ing
One
rese
arch
re
port
ev
ery
2 ye
ars
One
rese
arch
re
port
ev
ery
2 ye
ars
In co
untr
y St
udy
repo
rts
avai
labl
e an
d in
us
e
2 ye
ars
MO
H
NA
SCO
PN
utri
tion
Coun
ty
Part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 31
Tabl
e 11
: KRA
9 (O
utco
me
9) In
dica
tors
OU
TCO
ME
9: K
RA
9 –
CLI
NIC
AL
NU
TR
ITIO
N A
ND
DIE
TET
ICS
Impr
oved
and
sca
led
up p
ract
ices
rela
ted
to c
linic
al n
utri
tion
and
die
teti
cs fo
r di
seas
e pr
even
tion
, con
trol
and
man
agem
ent
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
9.1
Nutr
ition
scre
enin
g, as
sess
men
t an
d tr
iage
to a
ll in
divi
dual
s see
king
he
alth
care
pro
mot
ed
Prop
ortio
n of
pop
ulat
ion
acce
ssin
g he
alth
care
serv
ices
at t
he fa
cilit
ies
scre
ened
and
ass
esse
d fo
r nut
ritio
n st
atus
No
base
line
data
10
%2
0%
KH
ISM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.2
Enha
nced
nut
ritio
n sc
reen
ing
and
asse
ssm
ent a
t fac
ility
leve
lPr
opor
tion
of h
ealth
faci
litie
s im
plem
entin
g the
nat
iona
l SOP
s on
nutr
ition
scre
enin
g, a
sses
smen
t and
tr
iage
No
base
line
data
40
%6
0%
KH
ISM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Prop
ortio
n of
hea
lth fa
cilit
ies e
quip
ped
with
nut
ritio
n sc
reen
ing
and
asse
ssm
ent
equi
pmen
t
No
base
line
data
50
%6
5%
Coun
ty
repo
rts
Faci
lity
asse
ssm
ent
repo
rts
Quar
terly
MoH
, D
ND
Coun
ty
Gove
rnm
ents
Outp
ut
9.3
Stre
ngth
ened
Inte
r-fa
cility
refe
rral
syst
em fo
r nu
triti
on se
rvic
es
No.
of c
ount
ies s
ensi
tized
on
the
use
of
stan
dard
inte
r-fa
cilit
y nu
triti
on re
ferr
al
tool
No
base
line
data
2547
Prog
ram
Re
port
sQu
arte
rlyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.4
Impr
oved
qua
lity o
f car
e in t
he
nutr
ition
man
agem
ent o
f dis
ease
s, co
- mor
bidi
ties a
nd co
nditi
ons
No.
of c
ount
ies s
ensi
tized
on
the
use
of
natio
nal b
asic
ess
entia
l nut
ritio
n ca
re
pack
age
in m
anag
emen
t of d
isea
ses,
co-
mor
bidi
ties a
nd co
nditi
ons
No
base
line
data
2547
Prog
ram
Re
port
sM
onth
lyM
oH,
DN
DCo
unty
Go
vern
men
ts
Outp
ut
9.5
Stre
ngth
ened
man
agem
ent o
f m
alnu
triti
on in
dis
ease
and
illn
ess
Prop
ortio
n of
hos
pita
ls w
ith d
isea
se-
spec
ific t
hera
peut
ic fe
eds a
nd
supp
lem
ents
for m
anag
emen
t of
mal
nutr
ition
in il
lnes
s and
dis
ease
No
base
line
data
50
%6
5%
Coun
ty
repo
rts
Faci
lity
asse
ssm
ent
repo
rts
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
Outp
ut
9.6
Clin
ical
nut
ritio
n an
d di
seas
e m
anag
emen
t in
the
com
mun
ityPr
opor
tion
of co
untie
s sen
sitiz
ed o
n co
ntin
uum
of n
utri
tion
care
in th
e co
mm
unity
No
base
line
20
%4
0%
Trai
ning
Re
port
At
tend
ance
sh
eets
MoH
, DN
DD
ND
Quar
terly
Coun
ty
Gove
rnm
ents
Outp
ut
9.7
Impr
oved
patie
nt fe
edin
g in
heal
th
care
inst
itutio
nsPr
opor
tion
of h
ospi
tals
offe
ring
inpa
tient
fe
edin
g w
ith st
anda
rd th
erap
eutic
food
pr
oduc
tion
units
No
base
line
5%
10
%Co
unty
Re
port
s Fa
cilit
y as
sess
men
t re
port
s
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
No.
of c
ount
ies s
ensi
tized
on
the
use
of
mon
itori
ng to
ol fo
r inp
atie
nt fe
edin
gN
o ba
selin
e10
35Tr
aini
ng
Repo
rt
Atte
ndan
ce
shee
ts
MoH
, DN
DD
ND
Qua
rter
lyCo
unty
Go
vern
men
ts
Outp
ut
9.8
Stre
ngth
ened
tech
nica
l cap
acity
for
clin
ical
nut
ritio
n an
d di
etet
ics
Prop
ortio
n of
hea
lth ca
re w
orke
rs
trai
ned
on cl
inic
al n
utri
tion
pack
age
No
base
line
20
%4
0%
Coun
ty
Repo
rtM
oH, D
ND
DN
DA
nnua
llyCo
unty
Go
vern
men
ts
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202232
Tabl
e 12
: KRA
10
(Out
com
e 10
) Ind
icat
ors
OU
TCO
ME
10: K
RA
10
10 -
AGR
ICU
LTU
RE
AN
D F
OO
D S
ECU
RIT
Y L
inka
ges
betw
een
Nut
riti
on, A
gric
ultu
re a
nd F
ood
Secu
rity
str
engt
hene
d
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
10.1
Stre
ngth
ened
sust
aina
ble
and
incl
usiv
e fo
od sy
stem
s tha
t are
di
vers
e, p
rodu
ctiv
e an
d pr
ofita
ble
for i
mpr
oved
nut
ritio
n.
No.
of j
oint
stra
tegi
c pla
nnin
g m
eetin
g he
ld fo
r nut
ritio
n se
nsiti
ve a
gric
ultu
ral
prod
uctio
n
1(20
18)
68
Polic
y/st
rate
gy/
plan
doc
umen
tQ
uart
erly
MoA
LCM
OH
-DN
D, /
MO
E/CO
G/Pa
rtne
rs
Incl
usio
n of
nut
ritio
n in
the
deve
lopm
ent o
f agr
icul
ture
an
d fo
od se
curi
ty se
ctor
pol
icy
docu
men
ts
No.
of a
gric
ultu
re p
olic
ies t
hat a
re n
utrit
ion-
se
nsiti
ve b
y 20
221(
2018
)6
8Po
licy/
stra
tegy
/pl
an d
ocum
ent
Ann
ually
MoA
LCM
OH
-DN
D, /
MO
E/CO
G/Pa
rtne
rs
Outp
ut
10.2
Impr
oved
acc
ess t
o nu
triti
ous a
nd
safe
food
sPr
opor
tion
of fa
rm H
H p
rodu
cing
food
ite
ms
from
five
food
grou
ps fo
r sub
sist
ence
35(2
018)
4060
Repo
rts o
n fo
od it
ems/
Cons
umer
info
re
port
s
Ann
ually
MoA
LCM
OH, C
ultu
re
Soci
al
prot
ectio
n,
MOD
A, C
OG,
MOE
, Par
tner
s et
c.Ou
tput
10
.3Pr
omot
ion
of co
nsum
ptio
n of
safe
, di
vers
e, a
nd n
utri
tious
food
sN
o. o
f new
and
nut
ritio
us fo
ods p
rodu
cts
avai
led
in K
enya
n m
arke
t1(
2018
)3
5Sa
fety
gu
idel
ines
, ne
w p
rodu
cts
brie
fs,
Food
safe
ty
repo
rts,
Food
co
mpo
sitio
n ta
bles
, Rec
ipes
Ann
ually
MoH
MoA
LC,
MO
DA &
pa
rtne
rs
Outp
ut
10.4
Stre
ngth
ened
Agr
i- nu
triti
on
capa
citie
s and
coor
dina
tion
at
natio
nal a
nd co
unty
leve
ls
No.
of c
ount
ies w
here
Agr
i-nut
ritio
n te
chno
logi
es h
ave
been
dis
sem
inat
ed1(
2018
)10
25Cu
rric
ulum
, Te
chno
logy
, At
tend
ance
sh
eets
Di
ssem
inat
ion
repo
rts
Ann
ually
MoH
MoA
LC &
pa
rtne
rs
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 33
Tabl
e 14
: KRA
12
(Out
com
e 12
) Ind
icat
ors
OU
TCO
ME
12: K
RA 1
2 –
EDU
CAT
ION
AN
D E
AR
LY C
HIL
DH
OO
D D
EVEL
OPM
ENT
(E
CD)
Nut
ritio
n m
ains
trea
med
in E
duca
tion
sect
or p
olic
ies,
stra
tegi
es a
nd a
ctio
n pl
ans
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
12.1
Polic
ies,
stra
tegi
es, s
tand
ards
an
d gu
idel
ines
on
nutr
ition
an
d ph
ysic
al a
ctiv
ity in
scho
ols
and
othe
r lea
rnin
g in
stitu
tions
de
velo
ped
and
prom
oted
Num
ber o
f Pol
icie
s, st
rate
gies
and
gu
idel
ines
on
nutr
ition
and
phy
sica
l ac
tivity
dev
elop
ed fo
r sch
ools
and
oth
er
lear
ning
inst
itutio
ns
2 M
oEM
oH
Outp
ut
12.2
Hea
lthy
and
safe
food
env
iron
men
t pr
omot
ed to
ens
ure
that
food
to
lear
ners
is av
aila
ble,
suffi
cien
t, nu
triti
ous,
acce
ssib
le a
nd sa
fe
Prop
ortio
n of
scho
ols o
fferi
ng sa
fe a
nd
nutr
itiou
s foo
dsN
o Ba
selin
e Da
ta
40
%6
0%
Asse
ssm
ent
Repo
rts
Qua
rter
lyM
OE
MoH
Prop
ortio
n of
scho
ols w
here
nut
ritio
n as
sess
men
t is d
one
No
Base
line
data
20
%3
5%
Asse
ssm
ent
Repo
rts
Qua
rter
lyM
OE
MoH
Tabl
e 13
: KRA
11
(Out
com
e 11
) Ind
icat
ors
OU
TCO
ME
11: K
RA
11
– H
EALT
H S
ECTO
RN
utri
tion
in th
e H
ealt
h Se
ctor
Str
engt
hene
d
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
11.1
Nutr
ition
inte
grat
ed in
hea
lth p
olic
y do
cum
ents
and
repr
esen
ted
in
heal
th se
ctor
pol
icy
deve
lopm
ent
foru
ms
Prop
ortio
n of
hea
lth se
ctor
pol
icie
s with
nu
triti
on in
dica
tors
incl
uded
5 pe
rcen
t26
pe
rcen
t 40
per
cent
H
ealth
sect
or
polic
ies
MoH
/D
ND
MoH
Outp
ut
11.2
Nutr
ition
inte
grat
ed in
hea
lth se
ctor
co
ordi
natio
n m
echa
nism
sPr
opor
tion
of co
ordi
natio
n fo
rum
s whe
re
nutr
ition
is in
tegr
ated
20
%4
0%
60
%An
nual
repo
rts
MoH
/D
ND
MoH
Outp
ut
11.3
Impr
oved
per
form
ance
of n
utrit
ion
with
in h
ealth
sect
orN
o. o
f nut
ritio
n in
dica
tors
incl
uded
in th
e M
inis
teri
al p
erfo
rman
ce co
ntra
cts
12
2H
ealth
le
ader
ship
Pe
rfor
man
ce
cont
ract
s at
Nat
iona
l
MoH
/D
ND
MoH
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202234
Tabl
e 15
: KRA
13
(Out
com
e 13
) Ind
icat
ors
OU
TCO
ME
13: K
RA
13
- WAT
ER, S
AN
ITAT
ION
AN
D H
YGIE
NE
(WA
SH)
Nut
riti
on in
tegr
ated
into
WAS
H p
olic
ies,
str
ateg
ies,
pla
ns a
nd p
rogr
amm
es
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
13.1
Redu
ced
mor
bidi
ty a
nd m
orta
lity
due
to co
nsum
ptio
n of
wat
er fr
om
unsa
fe w
ater
sour
ces
Prop
ortio
n of
hou
seho
lds u
sing
an
impr
oved
sani
tatio
n fa
cilit
y61
.1K
DH
S 20
14
6776
KD
HS
Repo
rtA
nnua
llyM
oH-
WA
SH
Hub
DN
D
Prop
ortio
n of
dea
ths a
ttri
bute
d to
uns
afe
wat
er so
urce
s77
.08
per
100,
000
(GBD
20
16)
6560
http
s://v
izhub
. he
alth
data
.org
Ann
ually
MoH
-W
ASH
H
ub
DN
D
Prop
ortio
n of
hou
seho
lds w
ith a
cces
s to
an
impr
oved
wat
er so
urce
71 K
DH
S20
1477
86K
DH
S Re
port
Ann
ually
MoH
-W
ASH
H
ub
DN
D
Outp
ut
13.2
Nutr
ition
inte
grat
ed in
pol
icie
s, st
rate
gies
and
pla
ns o
n un
iver
sal
acce
ss to
ade
quat
e W
ASH
serv
ices
Prop
ortio
n of
WAS
H p
olic
ies w
ith n
utrit
ion
com
pone
ntN
o Ba
selin
e Da
ta
7786
Polic
y do
cum
ents
an
d st
rate
gies
Ann
ually
MO
H-
WA
SH
Hub
DN
D
Outp
ut
13.3
Redu
ctio
n of
mor
bidi
ty a
nd
mor
talit
y du
e to
poo
r acc
ess t
o ha
ndw
ashi
ng fa
cilit
y
Prop
ortio
n of
hou
seho
lds w
ith
hand
was
hing
stat
ion
in co
mpo
und
35 K
DH
S20
1445
60K
DH
S Re
port
Ann
ually
MO
H-
WA
SH
Hub
DN
D
Prop
ortio
n of
dea
ths a
ttri
bute
d to
lack
of
acce
ss to
han
d w
ashi
ng fa
cilit
ies
53.6
per
10
0,00
0(G
BD
2016
)
49.5
45ht
tps:/
/vizh
ub.
heal
thda
ta.o
rgA
nnua
llyM
OH
-W
ASH
H
ub
DN
D
Tabl
e 16
: KRA
14
(Out
com
e 14
) Ind
icat
ors
OU
TCO
ME
14: K
RA
14
-SO
CIA
L P
RO
TEC
TIO
NIn
tegr
atio
n of
Nut
riti
on in
Soc
ial P
rote
ctio
n Pr
ogra
mm
ess
stre
ngth
ened
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
14.1
Incl
usio
n of
nutr
ition
com
pone
nt in
so
cial
pro
tect
ion
Prop
ortio
n of
soci
al p
rote
ctio
n pr
ogra
mm
es w
ith a
nut
ritio
n co
mpo
nent
0 (2
018)
30
%6
0%
NIM
ES
and
CPIM
S re
port
s
An
nua
llyM
OH
/ M
L&SP
Othe
r lin
e m
inis
trie
s-D
evel
opm
ent
part
ners
Outp
ut
14.2
Enha
nced
mon
itori
ng o
f nut
ritio
n in
soci
al p
rote
ctio
nN
umbe
r of n
utri
tion
indi
cato
rs in
tegr
ated
on
the
info
rmat
ion
syst
em fo
r soc
ial
prot
ectio
n pr
ogra
mm
es
0 (2
018)
12
NIM
ES a
nd
CPIM
S re
port
An
nua
llyM
OH
/ M
L&SP
Othe
r lin
e m
inis
trie
s-D
evel
opm
ent
part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 35
Tabl
e 17
: KRA
15
(Out
com
e 15
) Ind
icat
ors
OU
TCO
ME
15: K
RA 1
5 –M
ULT
ISEC
TOR
AL
NU
TRIT
ION
GO
VERN
ANCE
Effic
ient
and
Effe
ctiv
e N
utri
tion
Gove
rnan
ce, C
oord
inat
ion
and
Lega
l Fr
amew
orks
Outp
utEx
pect
ed R
esul
tsIn
dica
tor
Base
line
Mid
term
End
term
Mea
ns o
f ve
rific
atio
nFr
eque
ncy
Lead
Asso
ciat
ed
Outp
ut
15.1
Enha
nced
exi
stin
g nu
triti
on
coor
dina
tion
and
colla
bora
ting
mec
hani
sms a
nd li
nkag
es b
etw
een
natio
nal a
nd co
unty
Gov
ernm
ents
Num
ber o
f fun
ctio
nal n
utri
tion
coor
dina
tion
com
mitt
ees’
mee
tings
hel
d14
5490
Mee
ting
min
utes
Bi-
annu
ally
MO
H/
COG
MO
H
Outp
ut
15.2
Enha
nce
coor
dina
tion
in
deve
lopm
ent a
nd im
plem
enta
tion
of re
gula
tory
fram
ewor
ks
Annu
al n
utri
tion
stan
dard
s and
regu
latio
n su
mm
it w
ith re
leva
nt n
utri
tion
acto
rsN
o da
ta3
5Su
mm
it re
port
sA
nnua
llyM
OH
/CO
GM
OH
Outp
ut
15.3
Stre
ngth
en p
artn
ersh
ips f
or
nutr
ition
Publ
ic P
riva
te P
artn
ersh
ip st
rate
gy
deve
lope
d0
11
Repo
rts
Bi-
annu
ally
MO
H/
COG
MO
H
Outp
ut
15.4
Enha
nced
opp
ortu
nitie
s for
co
llabo
ratio
n an
d jo
int d
isco
urse
fo
r bot
h le
vels
of g
over
nmen
t and
th
e se
ctor
in g
ener
al
No
of A
nnua
l Lea
rnin
g M
eetin
g H
eld
No
data
35
Repo
rts
– W
HIC
H
REPO
RTS?
Annu
ally
MOH
/lin
e m
inist
ries/
MO
H
No.
of r
esea
rch
fund
form
ed0
11
Rese
arch
fund
re
port
5 ye
ars
DN
D
Part
ners
Part
ners
No
of R
esea
rch
findi
ngs v
alid
ated
04
8Re
sults
re
port
s/
pres
enta
tions
Annu
ally
DN
D-
RTW
G
Num
ber o
f sym
posi
ums/
Con
fere
nces
on
nutr
ition
23
5Sy
mpo
sium
sA
nnua
llyD
ND
Part
ners
Tabl
e 16
: KRA
14
(Out
com
e 14
) Ind
icat
ors
OU
TCO
ME
14: K
RA
14
-SO
CIA
L P
RO
TEC
TIO
NIn
tegr
atio
n of
Nut
riti
on in
Soc
ial P
rote
ctio
n Pr
ogra
mm
ess
stre
ngth
ened
Out
put
Expe
cted
Res
ults
Indi
cato
rB
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
14.1
Incl
usio
n of
nutr
ition
com
pone
nt in
so
cial
pro
tect
ion
Prop
ortio
n of
soci
al p
rote
ctio
n pr
ogra
mm
es w
ith a
nut
ritio
n co
mpo
nent
0 (2
018)
30
%6
0%
NIM
ES
and
CPIM
S re
port
s
An
nua
llyM
OH
/ M
L&SP
Othe
r lin
e m
inis
trie
s-D
evel
opm
ent
part
ners
Outp
ut
14.2
Enha
nced
mon
itori
ng o
f nut
ritio
n in
soci
al p
rote
ctio
nN
umbe
r of n
utri
tion
indi
cato
rs in
tegr
ated
on
the
info
rmat
ion
syst
em fo
r soc
ial
prot
ectio
n pr
ogra
mm
es
0 (2
018)
12
NIM
ES a
nd
CPIM
S re
port
An
nua
llyM
OH
/ M
L&SP
Othe
r lin
e m
inis
trie
s-D
evel
opm
ent
part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202236
Tabl
e 18
: KRA
16
(Out
com
e 16
) Ind
icat
ors
OU
TCO
ME
16: K
RA
16
– M
ULT
ISEC
TO
RA
L N
UT
RIT
ION
INFO
RM
ATIO
N S
YSTE
MS
Sect
oral
and
Mul
ti-s
ecto
ral N
utri
tion
Info
rmat
ion
Syst
ems,
Lea
rnin
g an
d R
esea
rch
stre
ngth
ened
Out
put
Expe
cted
Res
ults
In
dica
tors
B
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
16.1
Enha
nced
nut
ritio
n pl
anni
ng a
nd
perf
orm
ance
mon
itori
ng a
nd
eval
uatio
n
Nut
ritio
n se
ctor
pla
ns p
rogr
ess r
evie
wed
ev
ery
quar
ter
010
20N
utri
tion
M&
E do
cum
ent
Quar
terly
re
port
s
Qua
rter
lyD
ND
MO
H
Num
ber o
f nat
iona
l nut
ritio
n an
nual
Wor
k pl
ans d
evel
oped
by
2022
/202
3 FY
03
5N
utri
tion
Annu
al w
ork
Plan
doc
umen
t
Ann
ually
DN
DM
OH
Num
ber o
f Ken
ya N
utri
tion
Actio
n Pl
an
eval
uatio
n co
nduc
ted
01
2KN
AP
Eval
uatio
n Re
port
s
2-3
year
sD
ND
MO
H
Outp
ut
16.2
Stre
ngth
ened
Nut
ritio
n se
ctor
ca
paci
ty in
NIS
and
evi
denc
e-ba
sed
deci
sion
mak
ing
Num
ber o
f tra
inin
gs co
nduc
ted
on
Nut
ritio
n In
form
atio
n ge
nera
tion
and
use
2140
74N
utri
tion
M&
E do
cum
ent
Qua
rter
lyD
ND
MO
H
Outp
ut
16.3
Tim
ely
gene
ratio
n an
d di
ssem
inat
ion
of n
utri
tion
situ
atio
n up
date
s to
info
rm
prog
ram
me
plan
ning
and
resp
onse
Num
ber o
f nut
ritio
n si
tuat
ion
repo
rts
(SRA
/ LR
A) g
ener
ated
813
23N
utri
tion
M&
E do
cum
ent
Ann
ually
DN
DM
OH
Num
ber o
f upd
ates
of t
he p
opul
atio
n-ba
sed
surv
ey d
atab
ase
14
8N
utri
tion
surv
ey d
atab
ase
Ann
ually
DN
DM
OH
Num
ber o
f tim
es N
utri
tion
web
site
up
date
d1
3060
Nut
ritio
n w
ebsi
te w
ww.
nutr
ition
heal
th.
or.k
e
Bi-
annu
ally
DN
DM
OH
Outp
ut
16.4
Stan
dard
ized
and
har
mon
ized
nu
triti
on d
ata
colle
ctio
n,m
anag
emen
t, an
d re
port
ing
at a
llle
vels
Num
ber o
f nut
ritio
n in
form
atio
n gu
idel
ines
in
pla
ce7
812
Nut
ritio
n M
&E
docu
men
tA
nnua
llyD
ND
MO
H
Outp
ut
16.5
Qual
ity n
utri
tion
data
gen
erat
ed
for e
vide
nce-
base
d pr
ogra
mm
ing
Num
ber o
f Nut
ritio
n As
sess
men
ts
Valid
ated
3763
147
Asse
ssm
ent
repo
rts
Qua
rter
lyD
ND
MO
H
No.
of p
olic
y br
iefs
gen
erat
ed to
info
rm
prog
ram
min
g/po
licy
chan
ge5
1015
Polic
y br
ief
pape
rsA
nnua
llyD
ND
MO
H
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 37
OU
TCO
ME
16: K
RA
16
– M
ULT
ISEC
TO
RA
L N
UT
RIT
ION
INFO
RM
ATIO
N S
YSTE
MS
Sect
oral
and
Mul
ti-s
ecto
ral N
utri
tion
Info
rmat
ion
Syst
ems,
Lea
rnin
g an
d R
esea
rch
stre
ngth
ened
Out
put
Expe
cted
Res
ults
In
dica
tors
B
asel
ine
Mid
term
End
term
Mea
ns o
f ve
rifi
cati
onFr
eque
ncy
Lead
Ass
ocia
ted
Outp
ut
16.6
Enha
nced
mul
ti-se
ctor
al li
nkag
es
resu
lt in
impr
oved
nut
ritio
n in
form
atio
n ef
ficie
ncie
s and
cost
-ef
fect
iven
ess
No.
of n
utri
tion-
sens
itive
info
rmat
ion
linka
ges s
tren
gthe
ned
01
2Ag
ric./F
oods
ec/
CHIS
/ EW
S2-
3 Ye
ars
DN
DM
OH
No.
of n
utri
tion-
spec
ific i
nfor
mat
ion
linka
ges s
tren
gthe
ned
01
2DH
IS/
Surv
eilla
nce/
D
HS
2-3
year
sD
ND
MO
H
Outp
ut
16.7
Impr
oved
acc
ess t
o an
d us
e of
nutr
ition
info
rmat
ion
to in
form
pr
ogra
mm
e qu
ality
impr
ovem
ent
Nut
ritio
n da
shbo
ard
(with
in K
HIS
) de
velo
ped
01
1KH
IS N
utri
tion
boar
d5
year
sD
ND
MO
H
Nut
ritio
n KH
IS sc
orec
ard
deve
lope
d0
11
Nut
ritio
n KH
IS
scor
ecar
d5
year
sD
ND
MO
H
Outp
ut
16.8
Enha
nced
evi
denc
e-ba
sed
deci
sion
m
akin
g th
roug
h re
sear
chN
o. o
f new
stra
tegi
c nut
ritio
n pa
rtne
rshi
ps
esta
blis
hed
incl
udin
g un
iver
sitie
s1
35
MoU
2-3
year
sD
ND
MoH
Re
sear
ch
Uni
t/
Part
ners
No.
of n
ew re
sear
ch p
rior
ities
iden
tifie
d an
nual
ly3
58
Rese
arch
in
Nut
ritio
n Te
chni
cal
Wor
king
Gr
oup
(RTW
G)
min
utes
2-3
year
sD
ND
Part
ners
No
of co
untie
s und
erta
king
nut
ritio
n re
sear
ch0
58
Coun
ty
rese
arch
fin
ding
s
2-5
year
sD
ND
/CN
CCo
untie
s/Pa
rtne
rs
No.
of o
pera
tiona
l / im
plem
enta
tiona
l re
sear
ches
Initi
ated
8 (201
8)10
12Re
sear
ch
prop
osal
s va
lidat
ed
2-3
year
sD
ND
-RT
WG
KEM
RI/
Part
ners
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202238
Tabl
e 19
: KRA
17
(Out
com
e 17
) Ind
icat
ors
OU
TCO
ME
17: K
RA
1 –
Adv
ocac
y, C
omm
unic
atio
n an
d So
cial
Mob
iliza
tion
(AC
SM)
Enha
nced
pol
itic
al c
omm
itm
ent a
nd c
onti
nued
pri
orit
izat
ion
of n
utri
tion
in
nati
onal
and
cou
nty
agen
daO
utpu
t 17
.1Ex
pect
ed R
esul
tsIn
dica
tors
Bas
elin
eM
id te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Impl
emen
tatio
n of
Nat
iona
l ad
voca
cy st
rate
gy o
n nu
triti
onN
o. o
f hig
h-le
vel n
utri
tion
mee
tings
hel
d0
35
Repo
rtA
nnua
llyM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
thN
o. o
f cou
ntie
s with
nut
ritio
n ad
voca
cy
plan
s0
2747
Repo
rtA
nnua
llyM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
thN
o. o
f nut
ritio
n ch
ampi
ons i
dent
ified
1 (2
015)
610
Repo
rtA
nnua
llyM
OH
/DN
DCo
untie
s, N
atio
nal G
ovt,
part
ners
Outp
ut
17.2
Incr
ease
d an
d su
stai
ned
mul
ti-se
ctor
al co
llabo
ratio
n on
adv
anci
ng a
nd in
tegr
atin
g nu
triti
on o
utco
mes
acr
oss
rele
vant
sect
ors a
t nat
iona
l and
co
unty
No.
of f
unct
ioni
ng o
f Mul
ti se
ctor
al
plat
form
s1
(201
8)3
3Re
port
2-3
year
sM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
th
Outp
ut
17.3
Soci
al a
ccou
ntab
ility
and
fin
anci
al tr
acki
ng o
f nut
ritio
n re
sour
ces a
t Nat
iona
l and
co
unty
Lev
el
No.
of r
elev
ant m
inis
trie
s and
coun
ties
trai
ned
on n
utri
tion
finan
cial
trac
king
to
ol (4
7 co
untie
s and
13
Min
istr
ies)
16 (2
018)
4960
Repo
rtB
i-Ann
ually
MO
H/D
ND
CoG,
Co
untie
s, Li
ne
Min
istr
ies,
Hou
se
com
mitt
ee o
n he
alth
No.
of N
atio
nal a
nd C
ount
y bu
dget
s tr
acke
d16
(201
7)4
48Re
port
Ann
ually
MO
H/D
ND
Line
M
inis
trie
s, Co
untie
s
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 39
OU
TCO
ME
17: K
RA
1 –
Adv
ocac
y, C
omm
unic
atio
n an
d So
cial
Mob
iliza
tion
(AC
SM)
Enha
nced
pol
itic
al c
omm
itm
ent a
nd c
onti
nued
pri
orit
izat
ion
of n
utri
tion
in
nati
onal
and
cou
nty
agen
daO
utpu
t 17
.1Ex
pect
ed R
esul
tsIn
dica
tors
Bas
elin
eM
id te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Outp
ut
17.4
Adeq
uate
fina
ncia
l res
ourc
es
mob
ilize
d fo
r sus
tain
ed a
nd
qual
ity n
utri
tion
serv
ices
in
clud
ing
dom
estic
reso
urce
m
obili
zatio
n
No.
of r
elev
ant M
DAs w
ith n
utri
tion
budg
et li
nes
No
data
515
Budg
et li
neA
nnua
llyM
OH
/DN
DM
DA
s
Nut
ritio
n m
ains
trea
med
in M
inis
teri
al
and
Coun
ty p
erfo
rman
ce co
ntra
ct0
12
PCA
nnua
llyM
OH
/DN
DM
DAs,
Coun
ties,
CoG,
Pe
rfor
man
ce
Man
agem
ent
and
Coor
dina
tion
offic
ein
Exe
cutiv
e of
fice
of th
e Pr
esid
ent
Outp
ut
17.5
Incr
ease
d an
d st
reng
then
ed
hum
an ca
pita
l and
capa
city
for
nutr
ition
advo
cacy
Num
ber o
f nut
ritio
n pr
ofes
sion
als a
nd
influ
ence
rs tr
aine
d on
adv
ocac
y0
180
300
Annu
ally
Repo
rt/
cert
sM
OH
/DN
DLi
ne
min
istr
ies,
CoG
No.
of n
utri
tioni
sts e
mpl
oyed
at n
atio
nal
and
coun
ty le
vel
1200
1302
1360
Annu
ally
Adve
rts/
cont
ract
s HR
Repo
rt
MO
H/
DN
D/
Coun
ty
gove
rnm
ents
PSC,
CoG
, TN
T,
CPSB
Outp
ut
17.6
Evid
ence
info
rmed
nut
ritio
n ad
voca
cyN
o. o
f nut
ritio
n be
st p
ract
ices
do
cum
ente
d an
d di
ssem
inat
ed0
1525
Annu
ally
Best
pr
actic
es/
new
slet
ters
MO
H/
DN
D/
Coun
ty
gove
rnm
ents
Stak
ehol
ders
, Co
G, P
artn
ers,
Nat
iona
l go
vern
men
tN
o. o
f sec
tors
ass
iste
d in
pac
kagi
ng th
eir
nutr
ition
adv
ocac
y pr
oduc
ts0
615
Annu
ally
Repo
rts
MO
H/
DN
DSt
akeh
olde
rs,
MD
As
Outp
ut
17.7
Stro
nger
rela
tions
hips
on
nutr
ition
with
key
med
ia
hous
es a
nd jo
urna
lists
bui
lt an
d m
aint
aine
d
No.
of m
edia
per
sonn
el tr
aine
d (u
nder
in
fluen
cers
)60
(201
7)12
012
0Bi
-ann
ually
Trai
ning
re
port
s /
cert
ifica
tes
MO
H/D
ND
Part
ners
, M
edia
hou
ses
No.
of n
utri
tion
docu
men
tari
es h
eld
012
20Qu
arte
rlyRe
port
sM
OH
/DN
DM
edia
, Pa
rtne
rs,
CoG,
Nat
iona
l Go
vern
men
tOu
tput
17
.8Co
mm
unity
eng
agem
ent,
part
icip
atio
n an
d fe
edba
ck
mec
hani
sms
in n
utri
tion
serv
ices
and
dec
isio
n- m
akin
g pr
oces
ses s
tren
gthe
ned
to
enha
nce
soci
al a
ccou
ntab
ility
No.
of c
ount
ies w
ith fe
edba
ck
mec
hani
sms o
n co
mm
unity
eng
agem
ent
030
47Qu
arte
rlyRe
port
sM
OH
/DN
D/
Coun
ty
gove
rnm
ents
Coun
ties,
Stak
ehol
ders
, Pa
rtne
rs,
CoG,
Nat
iona
l Go
vern
men
t
Tabl
e 19
: KRA
17
(Out
com
e 17
) Ind
icat
ors
OU
TCO
ME
17: K
RA
1 –
Adv
ocac
y, C
omm
unic
atio
n an
d So
cial
Mob
iliza
tion
(AC
SM)
Enha
nced
pol
itic
al c
omm
itm
ent a
nd c
onti
nued
pri
orit
izat
ion
of n
utri
tion
in
nati
onal
and
cou
nty
agen
daO
utpu
t 17
.1Ex
pect
ed R
esul
tsIn
dica
tors
Bas
elin
eM
id te
rmEn
d te
rmM
eans
of
veri
fica
tion
Freq
uenc
yLe
adA
ssoc
iate
d
Impl
emen
tatio
n of
Nat
iona
l ad
voca
cy st
rate
gy o
n nu
triti
onN
o. o
f hig
h-le
vel n
utri
tion
mee
tings
hel
d0
35
Repo
rtA
nnua
llyM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
thN
o. o
f cou
ntie
s with
nut
ritio
n ad
voca
cy
plan
s0
2747
Repo
rtA
nnua
llyM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
thN
o. o
f nut
ritio
n ch
ampi
ons i
dent
ified
1 (2
015)
610
Repo
rtA
nnua
llyM
OH
/DN
DCo
untie
s, N
atio
nal G
ovt,
part
ners
Outp
ut
17.2
Incr
ease
d an
d su
stai
ned
mul
ti-se
ctor
al co
llabo
ratio
n on
adv
anci
ng a
nd in
tegr
atin
g nu
triti
on o
utco
mes
acr
oss
rele
vant
sect
ors a
t nat
iona
l and
co
unty
No.
of f
unct
ioni
ng o
f Mul
ti se
ctor
al
plat
form
s1
(201
8)3
3Re
port
2-3
year
sM
OH
/DN
DCo
G,
Coun
ties,
Line
M
inis
trie
s, H
ouse
co
mm
ittee
on
heal
th
Outp
ut
17.3
Soci
al a
ccou
ntab
ility
and
fin
anci
al tr
acki
ng o
f nut
ritio
n re
sour
ces a
t Nat
iona
l and
co
unty
Lev
el
No.
of r
elev
ant m
inis
trie
s and
coun
ties
trai
ned
on n
utri
tion
finan
cial
trac
king
to
ol (4
7 co
untie
s and
13
Min
istr
ies)
16 (2
018)
4960
Repo
rtB
i-Ann
ually
MO
H/D
ND
CoG,
Co
untie
s, Li
ne
Min
istr
ies,
Hou
se
com
mitt
ee o
n he
alth
No.
of N
atio
nal a
nd C
ount
y bu
dget
s tr
acke
d16
(201
7)4
48Re
port
Ann
ually
MO
H/D
ND
Line
M
inis
trie
s, Co
untie
s
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202240
Tabl
e 20
: KRA
18
(Out
com
e 18
) Ind
icat
ors
OU
TCO
ME
18: K
RA
18
– CA
PACI
TY
DEV
ELO
PM
ENT
Capa
city
to d
eliv
er a
nd d
eman
d nu
trit
ion
serv
ices
enh
ance
d
Out
put
Expe
cted
Res
ults
Indi
cato
rsB
asel
ine
Mid
term
End
term
Freq
uenc
y M
eans
of
veri
fica
tion
Lead
Ass
ocia
ted
Outp
ut
18.1
Stre
ngth
ened
syst
emic
and
or
gani
zatio
nal c
apac
ity
deve
lopm
ent o
n po
licy,
gove
rnan
ce,
lead
ersh
ip, c
oord
inat
ion
and
part
ners
hips
for n
utri
tion
at
coun
ty a
nd n
atio
nal l
evel
No.
of c
ount
ies w
ith co
mpr
ehen
sive
nu
triti
on ca
paci
ty a
sses
smen
ts co
nduc
ted
1730
47An
nual
lyCa
paci
ty
asse
ssm
ent
repo
rts a
nd
actio
n pl
ans
Capa
city
w
orki
ng
grou
p
DND
and
impl
emen
ting
part
ners
No.
of c
ount
ies i
mpl
emen
ting
the
Keny
a nu
triti
on le
ader
ship
and
gov
erna
nce
prog
ram
me
03
4An
nual
lyAn
nual
re
port
sCa
paci
ty
wor
king
gr
oup
DND
and
impl
emen
ting
part
ners
Outp
ut
18.2
Enha
nced
syst
ems f
or sk
ills a
nd
com
pete
ncy
deve
lopm
ent f
or
nutr
ition
wor
kfor
ce
No.
of c
ount
ies
achi
evin
g at
leas
t 60%
of
the p
resc
ribe
d hum
an re
sour
ce n
orm
s and
st
anda
rds f
or n
utri
tioni
sts
1324
35An
nual
lyH
RH re
port
s, Ca
paci
ty
asse
ssm
ent
repo
rts
Advo
ca-
cy a
nd
com
mu-
nica
tions
, Ca
paci
ty
wor
king
gr
oup
DND
and
impl
emen
ting
part
ners
No.
of c
ount
ies w
ith im
prov
ed sc
ore
card
pe
rfor
man
ce o
n nu
triti
on0
2040
Annu
ally
Scor
e ca
rd
repo
rts,
DH
ISM
& E
w
orki
ng
grou
p,
HR
IOs
DND,
Im
plem
entin
g pa
rtne
rs
No.
of c
ount
ies w
here
the
Nut
ritio
n In
tern
ship
and
pla
cem
ent g
uide
is
diss
emin
ated
025
47An
nual
lyAn
nual
re
port
sCa
paci
ty
wor
king
gr
oup,
KN
DI
DND
and
impl
emen
ting
part
ners
,
Outp
ut
18.3
Stre
ngth
ened
capa
city
for
com
mun
ity le
vel d
eman
d ge
nera
tion
and
utili
zatio
n of
in
tegr
ated
nut
ritio
n se
rvic
es
Prop
ortio
n of
CH
Vs tr
aine
d on
nut
ritio
n pa
ckag
es (m
odul
e 8)
10
%4
0%
80
%An
nual
lyCH
S re
port
s an
d ca
paci
ty
asse
ssm
ent
repo
rts
CHS
foca
l po
int,
capa
city
w
orki
ng
grou
p
DND,
Im
plem
entin
g pa
rtne
rs
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 41
Tabl
e 21
: KRA
19
(Out
com
e 19
) Ind
icat
ors
OU
TCO
ME
19: K
RA
19
– SU
PP
LY C
HA
IN M
AN
AG
EMEN
TSt
reng
then
ed in
tegr
ated
supp
ly ch
ain
man
agem
ent s
yste
m fo
r nut
riti
on
com
mod
itie
s and
alli
ed to
ols.
Out
put
Expe
cted
Res
ults
Indi
cato
r B
asel
ine
Mid
term
End
term
Freq
uenc
y M
eans
of
veri
fica
tion
Lead
Ass
ocia
ted
Outp
ut
19.1
Coun
ties p
rior
itizi
ng p
rocu
rem
ent
of n
utri
tion
com
mod
ities
and
eq
uipm
ent
Prop
ortio
n of
coun
ties w
ith a
bud
get l
ine
for n
utri
tion
com
mod
ities
and
equ
ipm
ent
30
%4
0%
50
%An
nual
lyCo
unty
Bu
dget
sD
ND
Coun
ty
Outp
ut
19.2
Incl
usio
n of
nutr
ition
com
mod
ities
in
the
EML
No.
of n
utri
tion
com
mod
ities
incl
uded
in
the
EML
1720
242-
3 ye
ars
EML
List
DN
DCo
unty
Outp
ut
19.3
Redu
ced
cost
for n
utri
tion
com
mod
ities
and
equ
ipm
ent
No.
of n
ew ce
rtifi
ed su
pplie
rs p
rodu
cing
nu
triti
on co
mm
oditi
es a
nd su
pply
ing
equi
pmen
t
58
12An
nual
lyLi
st o
f pr
equa
lifie
d su
pplie
rs
DN
DCo
unty
Outp
ut
19.4
Publ
ic F
inan
cial
Man
agem
ent
(PFM
) Act
revi
ewed
with
incl
usio
n of
nut
ritio
n co
mm
oditi
es
Prop
ortio
n of
coun
ties w
ith d
raw
ing
righ
ts
at K
EMSA
for n
utri
tion
com
mod
ities
and
eq
uipm
ent
No
data
(2
018)
2435
Bi-a
nnua
llyPr
ocur
emen
t an
d di
strib
utio
n re
port
s fro
m
KEM
SA
DN
DCo
unty
K
EMSA
Outp
ut
19.5
Expa
nded
pro
duct
bas
e of
loca
lly
prod
uced
nut
ritio
n co
mm
oditi
esN
o. o
f nut
ritio
n co
mm
odity
coor
dina
tion
mee
tings
hel
d-In
dica
tor d
oes n
ot re
flect
th
e ex
pect
ed re
sult
110
20M
eetin
g M
inut
esD
ND
Coun
ty
Outp
ut
19.6
Tim
ely
Quan
tific
atio
n fo
r Nut
ritio
nCo
mm
oditi
es a
nd e
quip
men
tN
o. o
f nut
ritio
n co
mm
oditi
es q
uant
ifica
tion
and
fore
cast
ing
repo
rts g
ener
ated
12
5Qu
arte
rlyQu
antif
icat
ion
Repo
rts
DN
DCo
unty
Prop
ortio
n of a
nnua
l nut
ritio
n co
mm
odity
ne
eds m
et5
0%
65
%8
0%
Annu
ally
Dist
ribu
tion
repo
rts
DN
DCo
unty
Outp
ut
19.7
Enha
nced
capa
city
for n
utrit
ion
logi
stic
s and
inve
ntor
y m
anag
emen
t
Prop
ortio
n of
coun
ties w
ith N
utri
tion
LMIS
and
Inve
ntor
y M
anag
emen
t tra
inin
g co
nduc
ted
45
%5
5%
65
%An
nual
lyTr
aini
ng
repo
rts
DN
DCo
unty
Outp
ut
19.8
Safe
and
qua
lity n
utrit
ion
com
mod
ities
and
equ
ipm
ent a
t bo
th n
atio
nal a
nd co
unty
leve
l
Prop
ortio
n of
Nut
ritio
n co
mm
oditi
es a
nd
equi
pmen
t mee
ting
min
imum
qua
lity
and
safe
ty st
anda
rds
70
%7
5%
80
%An
nual
lyCe
rtifi
cate
s of
Anal
ysis
DN
DCo
unty
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202242
3.3 Monitoring and Reporting
Monitoring of the KNAP activities and results will be done through routine collection, collation, analysis, interpretation and dissemination of data using standardized tools and procedures. The frequency of monitoring the activities will be undertaken monthly, quarterly and annually as outlined in the reporting frequency in the results framework. Monitoring of implementation of programmes will focus on inputs and activities, whereas results monitoring will focus on outputs and outcomes and finally situation monitoring will focus on the status of nutrition, for example undernutrition among under five-year children in Kenya. Each County will have developed CNAP that is context specific but aligned to the KNAP. It is expected that each county will have an M&E Framework within the CNAP to guide the monitoring and evaluation of the programmes in the CNAP and therefore the counties will also monitor activities monthly, quarterly and annually and document the findings. The monitoring will be conducted through the following steps11: reference to the results framework, planning for monitoring, selection of monitoring tools and approaches, data collection and analysis, communication and reporting of findings and taking of corrective action. The monitoring steps are elaborated below:
I. Reference to the results framework: The Common Results Framework, the 19 Key Result Areas and process indicators will be the main basis of monitoring. The monitoring activities and resources will hence ensure that data on priority indicators are available.
II. Planning for monitoring: This will include deciding on which data will be collected, by when and how. The monitoring plan should link to the monitoring and information system such as Kenya Health Information System, population-based surveys e.g. Nutrition SMART surveys, surveillance systems etc. Key stakeholders at national and county level for example the M&E will need to consult other programs in the Division of Nutrition and Dietetics and County Departments of Health during the planning stage. Resources should also be planned for including human and financial. At this point it is also important to consider how the collected data will be utilized.
III. Selection and development of monitoring tools and approaches: Quality data on the indicators in the results framework should be collected using appropriate tools and methods. The NITWG will need to ensure various data collection tools e.g. for routine data and population-based surveys are up to date and relevant for the data collection methods. Development of guidelines and tools is critical and will be aligned to global standards e.g. DHS programmes, SMART methodology, IPC for Acute Malnutrition etc. Joint programme monitoring by government officials and implementing partners will also be useful in establishing progress and providing a mechanism for feedback.
IV. Data collection and analysis: In addition to what is covered in chapter 2, data collection will be based on the results framework indicators, cost, technical capacities and national/county level context. The data quality will be evaluated based on minimum criteria established in various national guidelines before performing analysis. The data analysis methods should be aligned to the guidance in the indicator compendium (Annex 2), technical manuals and thresholds. Data analysis should take into consideration gender disaggregation, equity, spatial distribution and disability in as far as this is possible. The findings should be validated by Nutrition Information Technical Working Group (NITWG) using agreed on standards.
V. Reporting and communication of findings: Timely reports should be produced upon validation of findings. The findings should first be validated at the county and finally at the national level. For example, Nutrition SMART survey reports should be finalized within 1 month of validating the findings. The reports should be submitted to the Ministry of Health/Division of Nutrition and Dietetics. The reports should be uploaded onto the nutrition website and disseminated to the target audience e.g. Nutrition Technical Forum members using other channels. To ensure improved uptake of findings, user friendly products such as short visual synopsis will be produced and disseminated using effective channels of communication. Figure 9 below illustrates the reporting cycle of routine data from Kenya Health Information System as well as from the community level to the national level and also the feedback mechanism from the national to the community level.
11 UNICEF (2017): Results Based Management Handbook – Working together for children.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 43
Figure 9: Reporting cycle of routine data-KHIS
VI. Taking corrective action: The evidence generated will inform the kind of corrective action to be taken by various programmes and stakeholders to promote accountability and realization of results. Corrective actions may include the following:
• Making changes to what is being done and how it is being done e.g. scale up and scale down of activities.
• Allocating resources more appropriately to emerging needs.• Building capacity on various technical areas.• Re-orienting advocacy and policy influencing.
VII. Quarterly and Annual multisectoral and multi-stakeholder nutrition reviews (AMNRs): The focus will be on the progress of activities, processes and outputs in the annual work plans (Annex 6). The national level and counties are expected to conduct quarterly reviews using routine data from KHIS, Nutrition scorecard, field visits, implementation progress reports, technical working group coordination meetings feedback etc. The review meetings will have representation from various ministries and nutrition stakeholders such as NGOs, UN agencies, academia etc. Review meetings will take place at national and county levels as well as though regional meetings12 for learning exchange. Review reports at national and county levels outlining progress will be produced and corresponding recommendations implemented and follow up made.
Detailed process monitoring indicator matrix for each KRA is presented in the M&E Process Monitoring Template uploaded at the MOH nutrition website http://nutritionhealth.or.ke.resources for easy access.
12 The regional clusters will include several counties coming together to learn and share best practices
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202244
3.4 Monitoring and Evaluation Implementation Matrix
The monitoring and evaluation implementation matrix for the key performance indicators is shown in Table 22.
Table 22: Monitoring and Evaluation Implementation Matrix
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Nutrition plans progress reviewed to inform planning and program adjustment
National annual Work plans developed by 2022/2023 FY
Develop annual work plans
Planning meetings within the programmes
X X X X X
Joint planning meetings with Partners
X X X X X
Sharing the tentative work plan with the partners for resource mobilization
X X X X X
A nutrition multiyear plan 2023-2027 (KNAP) developed
Develop a National Nutrition Action Plan for 2023-2027
Planning Meetings within the programmess
X
Nutrition stakeholders’ workshops
X
Technical assistance during NNAP development
X
Designing and printing the KNAP document
X
Launching the developed KNAP
X
A Kenya Nutrition M&E Framework for the 2018/2022 KNAP in place by end of 2018/2019 FY
Develop a Kenya Nutrition M&E framework for the 2018-2022KNAP
Planning Meetings within the programmess
X
Holding Nutrition M&E framework development workshops
X
Technical Assistance during M&E framework development
X
Launch Nutrition M&E Framework
X
A Kenya Nutrition M&E Framework for the 2023/2027 KNAP in place by end of 2022/2023 FY
Develop a Kenya Nutrition M&E framework for the 2023-2027 KNAP
Planning Meetings within the programmess
X
Holding Nutrition M&E framework development workshops
X
Technical Assistance during M&E framework development
X
Launch Nutrition M&E Framework
X
National annual reports developed by 2022/2023
Develop national annual reports
Report writing workshops X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 45
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
An annual KNAP Review
Review KNAP implementation progress annually
Review meeting at national level to review progress and prepare for country wide review meeting
X X X X
Develop improvement plan based on progress, field experience and lessons learnt
X X X X
Develop a score card to ease tracking of KNAP implementation progress
X X X X
Regional (cluster) review workshops with counties and other stakeholders
X X X X
A mid-term evaluation conducted by 2020/2021 FY
Mid-term Review of the KNAP implementation progress
Planning meetings for the mid-term review
X
Development of the mid-term review TOR
X
Technical assistance for mid-term review (consultancy)
X
Desk top reviews X Field visits to collect data/conduct interviews
X
National level stakeholder consultative forum -validation of findings
X
Develop mid-term report with improvement plan
X
Generate a score card to track progress
X
Dissemination meeting for the KNAP mid-term review findings
X
An end term evaluation for the 2018/2022 KNAP conducted by 2022/2023
An End-term Review of the KNAP implementation progress
Planning meetings for the end term review
X
Development of the end term review TOR
X
Technical assistance for end term review (consultancy)
X
Desk top reviews XField visits to collect data/conduct interviews
X
National level stakeholder consultative forum -validation of findings
X
Develop end term report with recommendations for the 2023-2027 KNAP
X
Dissemination meeting for the KNAP End term review findings
X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202246
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Strengthened Nutrition sector capacity in NIS and evidence-based decision making
200 health workers and managers trained/sensitized on nutrition dashboards and scorecards
Sensitization and capacity development for national and counties on nutrition dashboards and scorecards
Planning meetings for the training
X X X
Technical assistance /support
X X X X
Prepare training Package X Training workshop for nutrition dashboards and score cards
X X
Update capacity development training template for updating of the IHRIS
X X
15 officers trained on website maintenance and management by 2022
Train officers on website Maintenance and management
Planning meetings for the training
X X
Technical assistance /support
X X
Review of the training Package
X X
Training workshop for website maintenance
X X
Update capacity development training template for updating of the IHRIS
X X
90 officers trained on qualitative research methodology by 2022
Train Officers on Qualitative Research Methodology, Data collection, Analysis and Report writing
Planning meetings for the training
X X X
Technical assistance /support
X X X
Review of the training Package
X X X
Training workshop for Qualitative Research Methodology
X X X
Update capacity development training template for updating of the IHRIS
X X X
75 officers trained on SMART survey methodology by 2022
Train Officers on SMART Survey Methodology
Planning meetings for the training
X X X
Review of the training Package
X X X
Training workshop on SMART Methodology
X X X
Update capacity development training template for updating of the IHRIS
X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 47
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
350 officers trained on IPC for acute malnutrition by 2022
Train Officers on Integrated Phase Classification for Acute Malnutrition
Planning meetings for the training
X X X X X
Review of the training Package
X X X X X
Training workshop on IPC for Acute Malnutrition
X X X X X
Update capacity development training template for updating of the IHRIS
X X X X X
60 officers trained on coverage methodology by 2022
Train on Coverage Methodology
Planning meetings for the training
X X
Technical assistance /support
X X
Review of the training Package
X X
Training workshop on Coverage Methodology
X X
Update capacity development training template for updating of the IHRIS
X X
240 officers trained on nutrition data elements and indicators in the KHISKHIS
Train Officers on Nutrition data elements and indicators in the KHISKHIS
Planning meetings for the training
X X X X X
Technical assistance /support
X X X X X
Review of the training Package
X X X X X
Training workshop on Nutrition data elements and indicators in the KHISkKHIS
X X X X X
Update capacity development training template for updating of the IHRIS
X X X X X
70 officers trained on sentinel surveillance (EWS)
Train Officers on Sentinel Surveillance-Early Warning System
Planning meetings for the training
X X
Review of the training Package
X X
Training workshop on Sentinel Surveillance-Early Warning System
X X
Update capacity development training template for updating of the IHRIS
X X
Semi-annual data review and feedback meetings held with counties
Routine Data review and feedback meetings with counties
Planning meetings with the stakeholders
X X X X X
Data analysis and preparation of feedback package/slides
X X X X X
Hold semi-annual review meeting - utilize ICT e.g. conference calls, skype etc.
X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202248
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
An NIS/M&E needs assessment conducted by 2019/2020
Conduct M&E needs assessment
Assessment planning meetings
X
Questionnaire protocol development
X
Conduct online survey on NIS Gaps/needs
X
Generate a needs assessment report
X
Technical assistance requirement report in place
Map NIS areas requiring additional technical assistance
Develop technical assistance requirement report
X X X X
An NIS/M&E action plan developed by 2019/2020
develop action plan based on the assessment findings
Dissemination and development of the Action plans to address the needs
X
Develop a scorecard to track the key actions
X X X X
Expected Output: Standardized and harmonized nutrition data collection, management, and reporting at all levelsA Kenyan Nutrition Coverage Guideline in place
Finalize the Kenyan Nutrition Coverage Guideline
Input comments from internal and external reviewers
X
Present the Final document for approval and signing
X
Designing and printing X Dissemination/ sensitization/Launch meetings
X
A National DQA guideline for Nutrition Indicators in the KHIS developed by 2020
Develop a DQA guideline for nutrition indicators in the KHIS
Guideline development working meetings
X
Pilot/pre-test the DQA guidelines
X
Finalize the guideline for use
X
Designing and printing X Dissemination/ sensitization/Launch meetings
X
SOP for the Sentinel Sites DQA reviewed by 2018/2019
Review SOPs/Sentinel sites DQA guidelines
SOPs/Sentinel sites DQA guidelines review meetings
X X
Pilot/pre-test the SOPs/Sentinel sites DQA Guidelines
X X
Dissemination through existing structures
X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 49
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
An MIYCN KAP Field assessment manual in place by end of 2019/2020 FY
Finalization of the MIYCN KAP Field assessment manual
Manual Review workshop X XShare with the Internal and External reviewers for input
X X
Input comments from internal and external reviewers
X X
Present the Final document for approval and signing
X X
Designing and printing X XDissemination/ sensitization/Launch meetings
X X
HMIS Indicator manual review supported
Participate in the HMIS indicator manual review
Attend Review meetings X XInternal Working meetings on the nutrition indicators in the HMIS manual
X X
A Guideline for County Nutrition Action Plan development in place
Develop a guideline for the CNAP development
Technical meetings for development of the guideline
X
An IYCF-e Assessment tools and guidelines package reviewed by end of 2018/2019 FY
Review IYCF-e assessment tools and guidelines package
Technical Assistance in the review
X
Review and validation by the NITWG
X
Pilot the tools to make recommendations based on the field experience to feed into the assessment manual
X
KKHIS Tools reviewed
Review KHISKHIS Tools
Planning meetings X
Review workshops X SMART Survey Questionnaire revised (MS word and ODK version)
Review SMART Survey Questionnaire
Review meetings X X X X X
KAP Survey (MIYCN) Questionnaire reviewed (MS word and ODK version)
Review KAP survey Questionnaire
Review meetings X X
NIS/M&E tool and guideline packages printed
Print NIS/M&E tools and guidelines
Designing and printing X
Pre-test NIS/M&E tools and guidelines
Pre-test and feedback questionnaire based on the findings
X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202250
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
NIS/M&E tool and guideline packages distributed
Distribute NIS/M&E tools and guidelines
Preparation of the distribution plan
X
Distribution of the tools X NIS/M&E tool and guideline packages disseminated
Disseminate NIS/M&E tools and guidelines
Dissemination meetings X
Expected Output: Timely generation and dissemination of nutrition situation updates to inform programme planning and responseBi-annual nutrition situation reports developed during seasonal assessments by 2022/2023
Develop bi-annual nutrition situation reports
Data Collation and Analysis X X X X XDevelop situation maps X X X X XDevelop situation briefs and infographics
X X X X X
Update caseload tracker X X X X XDevelop full situation report
X X X X X
Disseminate findings at Kenya Food Security Meeting (KFSM), Emergency Nutrition Advisory Committee (ENAC) and other TWGs for response planning
X X X X X
Monthly nutrition situation update reports shared
Share monthly nutrition situation updates
Monthly routine nutrition data analysis
X X X X X
Share feedback with the counties through emails, calls etc.
X X X X X
Nutrition website updated on a monthly basis
Update nutrition website on a monthly basis
Gather and Review/approve the final products for uploading
X X X X X
Uploading of the final product
X X X X X
Population based survey database updated semi-annually
Update population-based survey database monthly
Data mining from the reports
X X X X X
Update the worksheets X X X X XUpload the updated worksheet on the nutrition website
X X X X X
NIS/M&E Best practices annual report shared annually
Share best practices annual report
Form a best practice validation task force and TOR
X X X X X
Prepare a best practice evaluation criteria
X X X X X
Call for submission of Best practices
X X X X X
Evaluate submitted Best practices
X X X X X
Publish the scalable best practices for learning
X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 51
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Quality nutrition data generated for evidence-based programming
Nutrition data clinic workshops held
Conduct nutrition data clinic and hold review meetings
Planning meeting X X X X XHold data clinic workshops X X X X XWrite data clinic report with action points and timelines
X X X X X
Hold data clinic action point review meetings
X X X X X
Nutrition data quality audits conducted
Conduct KHISKHIS nutrition data quality audit
Conduct KHIS DQA Planning meetings
X X X X X
Develop KHIS DQA protocol with budget
X X X X X
Conduct KHIS DQA at field level
X X X X X
Write KHIS DQA report X X X X XDisseminate findings and develop improvement plan
X X X X X
Monitor progress of improvement plan
X X X X X
Conduct LMIS nutrition data quality audit
Conduct LMIS DQA Planning meetings
X X X X X
Develop LMIS DQA protocol with budget
X X X X X
Conduct LMIS DQA at field level
X X X X X
Write LMIS DQA report X X X X XDisseminate findings and develop improvement plan
X X X X X
Monitor progress of improvement plan
X X X X X
Conduct EWS/sentinel surveillance nutrition data quality audit
Conduct EWS DQA Planning meetings
X X X X X
Develop EWS DQA protocol with budget
X X X X X
Conduct EWS DQA at field level
X X X X X
Write EWS DQA report X X X X XDisseminate findings and develop improvement plan
X X X X X
Monitor progress of improvement plan
X X X X X
Nutrition SMART, MIYCN KAP and Coverage Survey Methodologies reviewed
Review Nutrition SMART, MIYCN KAP and Coverage survey methodologies in monthly NITWG
Nutrition SMART, MIYCN KAP and Coverage Survey methodologies reviewed in NITWG meetings
X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202252
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Nutrition SMART, MIYCN KAP and Coverage Survey results validated
Review and validate Nutrition SMART, MIYCN KAP and Coverage Survey results in monthly NITWG
Nutrition SMART, MIYCN KAP and Coverage Survey results reviewed in monthly NITWG meetings
X X X X X
20 Quality Integrated Nutrition SMART Surveys conducted annually in the ASAL counties to inform nutrition situation
Conduct Integrated Nutrition SMART Surveys
Planning for the SMART Survey; Training of Data collectors; Field work; Data Analysis Reporting Validation and dissemination
X X X X X
15 Quality MIYCN KAP Surveys conducted every 3 years
Conduct MIYCN KAP Surveys
Planning for the KAP survey Training of Data collectors Field work Data Analysis Reporting Validation and dissemination
X
15 Quality Coverage Surveys conducted every 3 years in the ASAL Counties in Kenya
Conduct Coverage Surveys
Planning for the Coverage Survey Training of Data collectors Field work Data Analysis Reporting Validation and dissemination
X
Expected Output: Improved multi-sectoral nutrition information efficiencies and cost-effectiveness through enhanced linkages Number of nutrition-sensitive information linkages strengthened
Ensuring collaborations with nutrition sensitive sectors for nutrition sensitive information
Conduct initiation meetings and identify entry points for linkages/collaboration
X X X X X
Regular participation of NITWG focal points in nutrition sensitive coordination fora/TWGs
X X X X X
Annual review of effectiveness/achievements of enhanced multisectoral linkages
X X X X X
Number of nutrition-specific information linkages strengthened
Ensuring nutrition-specific information collaborations
Conduct initiation meetings and identify entry points for linkages/collaboration
X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 53
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Regular participation of NITWG focal points in nutrition specific coordination fora/TWGs
X X X X X
Annual review of effectiveness/achievements of enhanced nutrition specific linkages
X X X X X
NIS/M&E Terms of References reviewed annually
Review and update NITWG ToR
Review, update, and validation of ToR in NITWG
X X X X X
Regular monitoring of NITWG Annual Plans
Quarterly review and presentation of NITWG Annual Plan progress
X X X X X
Identification of solutions to key gaps and bottlenecks identified during review
X X X X X
Proportion of funds secured for NIS/M&E activities Annually
Securing resources for NITWG priorities
Resource mapping of current NITWG priorities
X X X X X
Identification of key resource gaps and possible funding sources
X X X X X
Inclusion of unfunded nutrition information priorities into ACSM
X X X X X
Number of multisectoral meetings conducted
Participate in multisectoral meetings
Participate in multisectoral meetings
X X X X X
Expected Output: Improved access to and use of nutrition information for programme quality improvementNumber of national Data Protection Guidelines with nutrition sector inputs included
Ensure nutrition sector participation in development and updating of Data Protection Guidelines
Linkage with MoH on Data Protection guideline development process
X X X X X
Regular participation of NITWG focal point in guideline development meetings and process
X X X
Updated Data Protection Guideline progress and guidance disseminated through focal point
X
Nutrition included in KHO
Nutrition sector participation in KHO
NITWG and RNTWG focal points regularly participate in KHO TWG
X X X X X
Continued advocacy for inclusion of nutrition dashboard in KHO
X X X X X
Nutrition dashboard (within KHIS) developed
Nutrition dashboard participation in Health and Demographic Surveillance Systems (HDSS)initiatives
Regular participation of NITWG focal points in HDSS meetings and TWG
X X X X X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202254
Key Performance Indicators
Activities Sub Activities Timeline (s)2018/19 2019/20 2020/21 2021/22 2022/23
Ensure prioritization of support for development of nutrition dashboards
X X
Develop and roll out of nutrition specific dashboards
Formation of Task Force for DHIS Nutrition Dashboards
X
Task Force to propose dashboards for different programme areas/priorities
X
Validation of dashboard proposals by NITWG
X
Development of nutrition dashboards (IMAM, MIYCN, MN, Commodities, etc.) with HIS support
X X X
Pilot of Nutrition Dashboard at national and county level
X
Nutrition KHIS scorecard developed
Develop and roll out Nutrition KHIS scorecard
Formation of Task Force for KHIS scorecard
X
Task Force to propose scorecards for different programme areas/priorities
X
Hold consultative meetings with nutrition programme officers
X
Validation of the DHIS nutrition scorecard by NITWG
X
Pilot of Nutrition Scorecard at national and county level
X
Number of counties utilizing nutrition dashboard to improve programme quality
Implementation and roll out of nutrition dashboards and scorecards to inform programme performance
Sensitization and capacity development for counties on nutrition dashboards and scorecards
X X X X
Use of nutrition dashboards and scorecards in county level programme review meetings, including CNTF, CHMT, MCNP Regional Meetings, etc
X X X
Development of county level action plans based on gaps and issues identified
X X X
Regular review and monitoring of progress on resolution of bottlenecks and improvements in action plans
X X X
Lessons learned/best practices review at national and county levels
X X
Update of nutrition dashboards and scorecards as informed by review meetings and feedback
X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 55
3.5 Evaluation
The aim of an evaluation is to determine the relevance, impact, efficiency, effectiveness and sustainability of interventions and the contribution of the programme to results (UNICEF 2017). Evaluation provides credible evidence - based information to help nutrition sector continually improve its performance, learning and accountability. The main evaluations will be Mid Term Review (MTR), End Term Review (ETR), quarterly reviews and specific programme evaluations.
• Mid -term review: A midterm review (MTR) of the Kenya Nutrition Action Plan will be done in 2020 to review the progress made in the two years of implementation and recommend adjustments in strategy or review of expected targets if deemed necessary. It will also be aligned to the health sector strategic plan midterm review. It will cover all the targets mentioned in the plan, including targets for outcome and impact indicators. The results will be used to adjust the KNAP strategies, priorities and targets.
• End term evaluation: The end-term review (ETR) of the Kenya Nutrition Action Plan will be done in 2022 to evaluate the overall performance of the KNAP and use lessons learnt to develop the subsequent KNAP and review the final achievements of the sector against what had been planned. It will involve a comprehensive analysis of progress and performance for the whole period of the plan.
• Specific programmes evaluations – This will focus on specific interventions, policy, strategy etc.
To guide the evaluations in nutrition sector, a costed evaluation plan will be developed. The costed evaluation plan will provide the following details: proposed title of the evaluation, start and end dates, cost, source/s of funds, responsible programmes for conducting and tracking of progress. Evaluations are rigorous and hence a realistic plan is recommended.
Evaluation steps: During an evaluation process, the following seven steps will be followed:
I. Assess the utility, necessity and evaluability of the evaluation. This includes examining the design of the programmes, project, and strategy etc, availability of monitoring information, accountability and conduciveness of the context.
II. Plan and commission the evaluation – allocate responsibility and develop terms of reference (TORs). The TORs should include context of the evaluation, purpose of evaluation, scope, evaluation criteria, key evaluation questions, methodology, work plan and budget, products and reporting, management arrangements and dissemination plan. According to OECD-DAC13, the key evaluation criteria are relevance, impact, efficiency, effectiveness and sustainability. Additional evaluation criteria depending on need include equity, gender and human rights. During humanitarian situations, it is also important to consider coverage of interventions, coordination and coherence.
III. Manage the inception phase – this should be implemented within 1 month. The evaluation team should provide a report outlining the revised work plan, understanding of the TOR and agreed evaluation methodology.
IV. Data collection, analysis and validation of findings.
V. Disseminate and use evaluation findings – packaging of evaluation findings and using of strategic dissemination forums relevant to target audience to increase uptake of evaluation findings.
VI. Prepare and track the implementation of evaluation recommendations.
VII. Use evaluation for learning and accountability.
13 Organisation for Economic Co-operation and Development’s (OECD) Development Assistance Committee (DAC)
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202256
3.6 Accountability and Learning Accountability: refers to the transparency of processes including planning, execution and reporting. This will:
• Ensure stakeholders are responsible for resources and results.
• Help decision makers to identify and track areas of greatest need to help achieve targets
• Serve as an advocacy tool for external partners and stakeholders
• Stimulates discussion among key players, benchmark and encourage cross learning among counties, aid to unmask disparities across counties and encourage social accountability and mutual dialogue with key players (multiagency, multi-sectoral and across all levels) to address malnutrition.
The M&E framework outlines the following strategies to ensure accountability:
1. Accountability on the side of the Division of Nutrition and Dieteticso Accountability for funds o Accountability for results o Social accountability
How?o Annual review meetings through the Nutrition Technical Forum o Regular review meetings by the programme managers o Stakeholder engagement in every step of implementation of the KNAP inputs o Timely publication and wide dissemination of reports, guidelines and relevant documentso Kenya Nutrition Scorecard and the RMNCAH scorecard
2. Accountability by the county government Authorities (S/CHMT, S/CO-MOA, NDMA etc.)o Accountability for funds o Accountability for results
Social accountability How?o Actions taken to improve nutrition indicators using the RMNCAH scorecard and Kenya nutrition
scorecard o Financial tracking using the financial matrix o Data Quality Assurance activities like audits and review meetings o Joint supportive supervision and mentorship o Generation and dissemination of annual work plan reports o Kenya Nutrition Scorecard and the RMNCAH scorecard o Community feedback mechanisms and dialogues. Information sharing with the communities, using
the relevant forums
3. Accountability by the partners o Accountability for funds o Accountability for results o Social accountability
How?o Joint planning and execution of programme activities o Joint budget reviews and reporting with the relevant platforms o Information sharing with the communities, using the relevant forumso Information to be more user-friendly and accessible to the public and encourage public oversight
through proactive engagemento Stakeholder engagement in every step of implementation of the KNAP inputs o Timely publication and wide dissemination of reports, guidelines and relevant documents
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 57
4. Accountability by Health Facilities (Health Workers, Health Facility committee etc.) o Accountability for allocated resources o Accountability for results o Social accountability o Hold regular monitoring and review of activities o Coordination meetings by the health facility committees o Community feedback mechanisms and dialogues. Information sharing with the communities, using
the relevant forums
5. Accountability by the Community (Community Units, Community Leaders and Community Health Volunteers) o Hold regular monitoring and review of community led actions o Monitor effectiveness of the complaint and feedback mechanism o Communicate feedback to the community, encouraging them to respond in turn
Accountability Tools and Processes: o Community score cards o Participatory approaches: Community dialogues and Action days o Joint monitoringo Confidential Complaint and Feedback mechanism o Kenya Nutrition Scorecard
Learning: Refers to the process through which information generated from M&E is reflected upon, and intentionally used to continuously improve a plan/strategy to achieve results. The learning process of the Kenya M&E Framework will adopt the adaptive management cycle approach stipulated in the KNAP, which involves improving outcomes through learning14. There will be implementation of the strategies and interventions to address the issues identified during the review of NNAP 2012-2017.
Learning will involve assessing what works well in a context or what does not work well, and which aspects have more influence on the achievement of results, which strategies can be replicated etc.
Approaches to guide in learning:
1. Compare results across time to determine which ones contribute to achieving the set tasks and expected results.
2. Facilitation of both levels of learning through formal or informal learning and reflection meetings of all stakeholders, by sharing learning experiences (positive and negative) with partners, communities, and other stakeholders, in response to their needs:
• Organize workshops to reflect on lessons learned and to exchange good practices e.g. Regional meetings, which promote events for horizontal knowledge exchange by the counties.
• Ride on community dialogue days to share lessons learned and reflect on best practices
3. Documentation of processes and reports, and appropriate storage of MEAL outputs to keep learning within the programmes and sectors even in absence of the key staffs.
• Filing Paper based report
• Majorly uploading soft copies (photos, videos) on the nutrition website
4. Learning needs assessment and support
• Mentoring of staff with a focus on specific issues or identified needs and help individuals reflect and question existing practice.
• Training courses in response to feedback.
14 The Kenya Monitoring and Learning Cycle
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202258
3.7 Operational Research
Operational research is any research producing practically any usable knowledge (evidence, findings, information etc.) which can improve programme implementation (e.g. efficiency, effectiveness, quality, scale up, access and sustainability) regardless of type of research (design, methodology)15. Operations research typically tries to modulate inputs and processes in programmes and aims to measure desired changes in outputs, outcomes and impacts. For example, research in determining whether combining cash-based interventions and nutrition counselling can improve breast feeding and complementary feeding outcomes. Operational research is useful in providing context specific answers e.g. how does a proven intervention work in a different context? It helps to explain success and failure. Operations research uses mixed methods approaches that are often interlinked and can be broadly divided into two:• Secondary data analysis• Primary level research – this can take different forms:
− Exploratory/diagnostic focusing on problem identification e.g. formative or needs assessment.− Field intervention – quasi experimental and randomized cluster trails.− Evaluative and cost effectiveness studies.
The nutrition research activities will be coordinated through the Research in Nutrition Technical Working Group (RNTWG) with linkages to relevant programmes and the relevant counties16. The working group will review, approve, facilitate and promote implementation of research of highest quality in nutrition to inform policy. Annex 4 is a guide for submitting research proposals to the technical working group. It is recommended that the technical working group validates research findings and disseminate effectively to target audience to increase uptake of research findings.
15 Sumit Malhotra (2010): Operations Research in Public Health16 Relevant counties refer to the counties where the operational research will be carried out
5. Development of innovative tools for MEAL
• Online learning
6. Feedback mechanism
Figure 10 : Learning Cycle
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 59
3.8 Research and Learning Implementation Matrix
The research and learning implementation matrix is presented in Table 23.
Table 23: Research and Learning Implementation Matrix
Key Performance Indicators
Activities Sub Activities 2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Strategic partnerships and linkages developed
Number of New Strategic research Partnerships established annually
Map out all the partners and networks including research institutions, universities, ethical research committees etc. that conduct research
Desk review to map partners and identify expertise
X X X X X
Expected Output: Linkages on research in nutrition strengthened
Number of existing research partnerships strengthened by 2022/23
Identify expertise for research in nutrition from existing partnership
RNTWG meetings X X X X X
Expected Output: Research priorities identified through established Linkage between county and national government and other sectors;Number of new research priorities identified annually
Desk reviews RTWG meetings X X X X X
Expected Output: Research priority areas identified and mainstreamed/consolidated into national and county priority agenda;Number of research priority mainstreamed in national Agenda
Needs assessment at national level to identify priorities
Consultative meetings
X X X X X
Expected Output: Sub-committees for research established and strengthenedNumber research priority mainstreamed in county agenda annually
Research Proposals presented and validated
RTWG X x x x x
Expected Outcome: Collaboration and partnerships with other TWGs involved in Research strengthened
Two subcommittees on research established annually
Develop concept noted on research prioritization and importance of evidence in decision making
Lobby counties to establish own research committees
X x x x x
Number of collaborations with Research TWG by 2022
Hold collaborative meetings
Collaborative RTWG Meetings
X x x x x
Expected Outcome: Conduct of research improved and increasedNumber of operational /implementation researches conducted by 2023
Review and validate research proposal submitted to the RTWG
RTWG Meetings X x x x x
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202260
Key Performance Indicators
Activities Sub Activities 2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Research skills and capacity developed
Number of people trained on Research skills in three research methodologies developed by 2022
Trainings on research skills
X x x
Expected Output: Research fund is established
One research fund formed by 2022
Concept notes and grant applications
X x x x x
Expected Outputs: 1. Quality and standards for conduct of research improved2. Research studies, methodologies and results validated
Number of Standard Operating Procedures on conduct of research developed by 2022
Desk review and Mapping out existing SoPs/guidelines, standards that support research in nutrition
RTWG meetings X x x x x
Number of Research findings disseminated to county where research was undertaken by 2022
Review and validate and disseminate research findings submitted to the RTWG
RTWG meetings X x x x x
Expected Output: Research findings disseminated to decision/policy makers
Systematic review of nutrition research findings strengthened
Review and disseminate research findings
County meetings for dissemination by county teams
x x x
Four systematic reviews of nutrition research findings (MIYCN, Capacity, SMART, coverage) conducted by 2022
Included in the M and E section
Included in the M and E section
x x x x x
Expected Output: Symposiums and conferences organizedNo. of symposiums/Conferences on nutrition held by 2022
Organize for symposium/conference
Conduct Research in Nutrition Symposium every 2 years
x x
Expected Output: Knowledge platform designed and developed
One knowledge management platform on research on Nutrition established
Develop a knowledge platform work plan
Identify sources for knowledge platform content; Resource mobilize for design, set up and management of knowledge platform
x x x x x
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 61
Key Performance Indicators
Activities Sub Activities 2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Nutrition and dietetics research data integrated into Nutrition and other allied portalsResearch data integrated in two portals by 2022
Lobby for inclusion of nutrition and dietetics information into other allied portals
x x x x x
Expected Output: Communities of practice / Best Practice forums in research in nutrition established
Number of community of practice forums established by 2022
Establish and maintain national committee for community of practice in an identified area
Consultative meetings; identification of possible communities of practice
x x x x x
Expected Output: Linkages strengthenedNumber of Linkages with universities to share research findings established by 2022
x x x x X
Expected Output: Research repository platform designed and developedNumber of Research Repository developed by 2020
Design and develop the research repository platform;
Map researches available from different institutions;
x x x x X
Desk Review quality of findings from the research to select most plausible;
x x x x X
Meetings to discuss research findings for inclusion in research repository;
x x x x X
Resource mobilize and Maintain and update research repository;
x x x x X
Sensitize on the importance of common research repositories
x x x x X
Expected Output: Increased access to research findings for decision makingNumber of researches disseminated
Dissemination of research findings in conferences; meetings; workshops
Research dissemination workshops
x x x x X
Expected Output: Open data access policies /guidelines developedOpen data access guideline/policy developed by 2022
Develop open data access guidelines
x x x x X
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202262
Key Performance Indicators
Activities Sub Activities 2018/19 2019/20 2020/21 2021/22 2022/23
Expected Output: Open data access systems put in place
One open data access portal established by 2022
Design and develop data access portal
RTWGs meetings x x x x X
Expected Output: Capacity on knowledge translation developed for increased capacity for translation
No. of Persons trainied/sensitized onon knowledge translation annually
Capacity building on knowledge translation
Develop policy brief as outputs of knowledge translation training
x x x x X
Expected Output: Systematic review strengthened
Number of policy briefs/statements translated from research findings annually
Train on systematic review processes
Produce systematic reviews as outputs of the systematic review training
x x x x X
Expected Output: Development of a nutrition journal initiated
A nutrition journal developed by 2022
Develop a nutrition journal development work plan
Identify key stakeholders for development of journal;Identify potential journal reviewers and editors; Plan for registration of journal
x x x X
Expected Output: Research finding published in various journals
Number of nutrition manuscripts published in various journals using sector data by 2022
Identify data/findings for publication
Develop manuscripts for publishing in the nutrition journal
x x x x
Expected Output: Innovations in research in nutrition increasedOne innovation in research in nutrition developed
Identify potential innovations in research in nutrition; Resource mobilize for innovations in research in nutrition
x x x x X
Best Practices: is “knowledge about what works in specific situations and contexts, without using inordinate resources to achieve the desired results, and which can be used to develop and implement solutions adapted to similar health problems in other situations and contexts”.
Criteria for Selection of “Best Practices” are as follows:
o Effectiveness: This is a fundamental criterion: the practice must work and achieve measurable results.o Efficiency: The proposed practice must produce results with a reasonable level of resources and time.o Relevance: The proposed practice must address the priority health problems in the country o Ethical soundness: The practice must respect the current rules of ethics for dealing with human
populations.
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o Sustainability: The proposed practice must be implementable over a long period without any massive injection of additional resources.
o Possibility of duplication: The proposed practice, as carried out, must be replicable elsewhere in the Country.
o Involvement of partnerships: The proposed practice must involve satisfactory collaboration between several stakeholders.
o Community involvement: The proposed practice must involve participation of the affected communities.o Political commitment: The proposed practice must have support from the relevant national or local
authorities.
Key components of documenting Best Practices (See ANNEX 3: Good Practice Template)
a) Title of the “Best Practice”: This should be concise and reflect the practice being documented.b) Introduction: This should provide the context and justification for the practice and address the following
issues:a. What is the problem being addressed?b. Which population is being affected?c. How is the problem impacting on the population?d. What were the objectives being achieved?
c) Implementation of the Practicea. What are the main activities carried out?b. When and where were the activities carried out?c. Who were the key implementers and collaborators?d. What were the resource implications?
d) Results of the Practice – Outputs and Outcomesa. What were the concrete results achieved in terms of outputs and outcomes?b. Was an assessment of the practice carried out? If yes, what were the results?
e) Lessons Learnta. What worked really well – what facilitated this?b. What did not work – why did it not work?
f) Conclusiona. How have the results benefited the population?b. Why that particular intervention should be considered a “Best Practice”?c. Recommendations for those intending to adopt the documented “Best Practice” or how can it help
people working on the same issue(s).g) Further Reading: Provide a list of references that give additional information on the “Best Practice” for
those who may be interested in how the results have benefited the population.
Methods of disseminating and sharing Best Practiceso Publication to promote learning and sharing of experience o Uploading on the nutrition website and providing the web link through email notification to the relevant
stakeholderso Presentation in conferences, symposia and forums o Use other methods as appropriate
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IMPLEMENTATION STRATEGY FOR THE M&E FRAMEWORK
CHAPTER 4
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The implementation of the M&E framework will be spearheaded by the Ministry of Health – Division of Nutrition and Dietetics in collaboration with development partners and stakeholders at all levels. This will ensure successful implementation of M&E system in the Division of Nutrition and Dietetics. The implementation strategy shall be determined by the following:
Human Resource development:
1) Availability of relevant human resource for Monitoring, Evaluation, Accountability and Learning.2) Clearly defined roles of various stakeholders that indicate the information generators, information
managers, information custodians and information users.3) Highlighting and remedying of M&E capacity-gaps required across information generators, information
managers, information custodians and information users in order for the M&E system to be efficient and functional.
4) Capacity building of relevant stakeholders to utilize nutrition data and information.
Systems readiness for:
1) Appropriate information management infrastructure shall be in place to ensure compliance with data and information quality protocols, upwards and downwards flow of information and is easily accessible in an appropriate repository(ies).
2) Utilization of relevant emerging technologies that will accelerate information capture, aggregation, analysis and utilization. Pilot-tests of such technologies shall also provide learning experiences that shall be necessary for systems improvement.
3) Promotion of information quality management through frequent audits and checks.4) Establishment of appropriate feedback and response mechanism with easy flow of information at
different levels of nutrition programme implementation.5) Forums for dissemination, learning and research.
Funding Mechanisms that will boost M&E human resource and M&E systems
Mechanisms should be put in place to ensure adequate funding for the NIS and M&E system activity cycle. The activity cycle includes data collection, transmission, aggregation, analysis and utilization. Such mechanisms include:
1) Integration of M&E activities and leveraging on resources for ongoing nutrition and nutrition-related programme activities for more efficient use of funds.
2) Use of and scale up of cost-effective strategies such as having online meetings, training and dissemination through teleconferencing instead of having physical meetings.
3) Mainstreaming nutrition information collection in other sector nonitoring and evaluation systems4) Develop public/private partnerships to fund M&E system activities.
Coordination mechanism
1) Clearly defined multi-sectoral coordination structure with partners and other stakeholders at national and county levels for the planning, implementation and dissemination of M&E activities.
2) Presence of platform/technical forum that coordinates the technical review, validation and provides mentorship and sharing of M&E feedback at national and county levels (See Table 24).
4.1 Roles and Responsibilities of Stakeholders
The roles and responsibilities of stakeholders are shown in Table 24.
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Table 24: Roles and Responsibilities of stakeholders in the M&E
Stakeholders M&E roles and responsibilitiesDivision of Nutrition and Dietetics
• Develop standards, guidelines and tools for monitoring and evaluation of nutrition projects and programmes in the country
• Standardization of nutrition data collection methodologies, management, and reporting.
• Overall management and implementation of Kenya Nutrition M&E framework.• Development of M&E implementation plan and operational manuals.• Provide technical support to counties in data collection, reporting and analysis
including review and validation of data, methodologies and results. Build capacity of national and county levels on nutrition information and M&E.
• Mobilize resources to support implementation of M&E plans and framework.• Conduct periodic data quality audits, develop data quality improvement plans and
monitor their implementation.• In collaboration with KNBS, partners and stakeholders provide technical expertise in
conducting various evaluations and surveys including Kenya National Micronutrient Survey (KNMS), Kenya Demographic Health Survey (KDHS), Kenya Integrated Household Budget Survey (KIHBS), Multiple Indicator Cluster Surveys (MICS).
• Ensure effective coordination of nutrition M&E and information at national and county levels.
• Coordinate national level nutrition surveys, programme evaluations and statistical modeling and facilitate dissemination of findings to counties and stakeholders.
• Strengthen multi-sectoral linkages and partnerships e.g. mainstreaming nutrition M&E in the relevant sector information systems and technical working groups, joint monitoring and assessments, etc.
• Keep a common (central) nutrition data repository and manage the Kenya Nutrition Website for improved data access and utilization. Develop and disseminate national level nutrition M&E and information products.
• Monitor implementation of national and county annual work plans in consultation with county governments.
• Coordinate mid-term and end-term review of the KNAP and support counties to monitor implementation of CNAPs.
• Document and disseminate best practices, case studies, research findings and success stories for evidence-based programming.
• Promote/support accountability and feedback mechanisms.
Line Ministries/Institution and Agencies including KNBS, KEMRI
• Mainstream M&E for Nutrition in their M&E systems.• Monitor and report on nutrition indicators and activities that fall in their dockets.• Participate and provide technical inputs in development of Nutrition Sector M&E
plans, guidelines and frameworks.• KNBS and KEMRI provide technical support and expertise for national level nutrition
surveys.• Participate in mid-term and end-term review of the KNAP. • In collaboration with DND participate in joint monitoring and supervision of
implementation of nutrition sensitive activities in KNAP.• Undertake resource mobilization for implementation of KNAP MEAL framework.
Development Partners • Provide technical and financial support to ensure Nutrition Sector M&E system is functional.
• Conduct/support advocacy and resource mobilization to support implementation of M&E plans and framework.
• Provide technical support in development, dissemination and implementation of nutrition M&E framework, Plans and guidelines .
• In collaboration with DND and KNBS participate and provide technical expertise in conducting various researches, evaluations and surveys
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Stakeholders M&E roles and responsibilitiesCounty Health Management Team
• Overall coordination of the implementation of nutrition M&E framework at the county level.
• Ensure adherence to nutrition M&E standards and guidelines • Monitor implementation of county AWPs and develop annual performance
reports. • Advocate for inclusion of nutrition indicators in county level plans such as the
CIDP and CHSSP• Conduct mid-term and end-term review of the CNAPs• Domestication and dissemination of policies, guidelines, and reports.• Resource mobilization.• Provide technical and financial support for M&E activities.• Maintenance of the implementing partners’ database at the county level.• Manage the nutrition database at the county level.• Dissemination of all reports and M&E products developed at both the county
and national level.• Conduct regular data quality audit activities in the county.• Conduct quarterly health stakeholders’ forum.• Operationalize the M&E TWG and CNTF.• Conduct data review at the county level.• Provide oversight on data collection and reporting.• Promote data demand and information use.• Conduct performance reviews at the county level.• Spearhead implementation of recommendations and improvement plans • Ensure proper information flow from various levels to inform decision-making.• Develop quarterly reports for the CECM, Chief Officer and County Director for
Health.• Provide regular feedback on nutrition data quality to both sub counties and
implementing partners.• Acquisition and distribution of HMIS tools to the sub counties.• Coordination of training, mentorship and OJTs.• Coordination of research and survey activities.• Development of quarterly and annual County Health Bulletin.• Provide technical, material and financial support for M&E to all sub-counties.• Carry out County M&E needs assessment and build capacity where applicable.• Keep a common (central) nutrition data repository at County level and update
nutrition situation and reports in the relevant county websites. • With support from the national level, produce County specific tools for special studies
and assessment based on need • Conduct Supportive supervision • Implementation of County feedback and accountability mechanism e.g. through
community scorecards• Document and disseminate best practices, case studies, research findings and success
stories for program adjustment and improvement
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Stakeholders M&E roles and responsibilitiesSub County Health Management Team
• Coordinate and manage M&E at the Sub County level.• Mobilization of resources for Sub-County level planned activities.• Supervise nutrition data collection in the facilities. • Receive and compile nutrition data from health facilities, community units and
implementing partners and feed all reports on performance tracking into the KHIS or any other e-data capturing system linked to the county in a timely manner.
• Provide regular feedback to the health facilities and community units.• Utilize data generated at the Sub County level for decision making. • Ensure proper information flow from and to the health facilities and community
health units in the Sub Counties.• Develop Sub-County Health report and share it with the CHMT and County Director
for Health.• Disseminate quarterly reports to Sub-County health facilities and community
units.• Aggregate, analyze, disseminate and use health and health-related data on the
performance of the health sector priorities outlined in the CHSSIP from all community health units, health facilities and provide feedback to all.
• Analyze the quality of all reports received from health facilities and community health units and ensure follow-up in case of incompleteness, problems with validity, and delays and provide technical support to all sub-county level operational units and all tiers of health facilities in the sub-county for M&E.
• Conduct Routine data quality audit - RDQA (quarterly).• Conduct quarterly data review.• Conduct monthly data validation before entry into the KHIS.• Conduct oversight to manage all health and health-related data from all service
providers within the sub-county.• Maintain and update a common data repository• Distribution and redistribution of HMIS tools to health facilities.• Coordination of training, mentorships, and on job trainings OJTs to health facilities
and community units.• Coordinate research and survey activities.• Implementation of community feedback and accountability mechanism e.g. through
community scorecards• Document and disseminate best practices, case studies, research findings and success
stories
Health facility • Maintain and update the Health Information System, includingrecords, filing system(s) and registry for primary data collectiontools (such as registers, cards, file folders), and summary forms(such as reporting forms, CDs, electronic backups).
Data collection, compilation, analysis and on ward transmission to the sub counties.• Conduct monthly facility data review before submission to the Sub County
level.• Safeguard data and information system from any risks e.g., termites, fire, floods,
access by unauthorized persons etc.• Prepare an analysis of the data for discussion during staff and board meetings for
decision-making.• Provide regular feedback to the Community Units (CUs).• Implementation of policies and guidelines.• Provide platforms for data dissemination, accountability and community feedback e.g.
community scorecards, community dialogues, suggestion boxes etc. • Document and share best practices, case studies, research findings and success
stories
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Stakeholders M&E roles and responsibilitiesCommunity Unit • Collect data from the community.
• Participate in community surveillance activities e.g. reporting of increased cases of children with malnutrition
• Community involvement and consultation in nutrition data and information processes
• Update and maintain community health information within the KHIS.• Compile and submit monthly reports to the health facility.• Conduct dialogue and action days.• Receive feedback from the facility, Sub County and County levels.• Use information collected and feedback received for decision making. • Develop quarterly and annual community health and nutrition reports for integration
into facility reports.• Carry out M&E and regularly update household members in forums such as
community dialogue days.• Maintain registers for documentation of household visits, activities and report
regularly to supervising link-health facility.• Share best practices and success stories for documentation and scale up
4.2 Technical Coordination Mechanisms
The M&E technical coordination will align with Monitoring and Evaluation Framework of the Ministry of Health at the National and County levels. The technical M&E coordination structures will include Nutrition Information Technical Working Group (NITWG) and Research Technical Working Groups at the national level. The roles of these structures are outlined below.
4.2.1 Nutrition Information Technical Working Group
Nutrition Information Technical Working Group at the national level will play the following roles:• Develop standards and guidelines for nutrition information. • Contextualize relevant international guidelines for Kenya.• Review and validate nutrition information collection, analysis and reporting. • Centralize nutrition information, disseminate and advocate for action. • Capacity strengthening/offer technical support on nutrition information when and as needed especially
to the counties. • Produce Nutrition Situation Reports.• Strengthen multi-sectoral linkages on nutrition information through direct participation at various
forums (education, social protection, agriculture, livestock, special programmes etc)• Promote knowledge management among members of NITWG. • Promote documentation of success stories/lessons by stakeholders. • Strengthen continuity of NITWG partnership with stakeholders such as NDMA, KNBS, FEWSNET, MoH
HIS and enhance linkages with other working groups within the sector.• Establish linkage with and support county level M&E committees:
o Build M&E capacity at the county.o Support the operationalization of M&E framework by guiding the development of county M&E Plans.
4.2.2 Research in Nutrition Technical Working Group (RNTWG)
Research in Nutrition Technical Working Group will play the following roles:
• Coordinate research in nutrition.• Provide expert advice, technical guidance and leadership in nutrition research including networking.• Identify priority areas for nutrition research in the country. • Dissemination and sharing of research findings• Support/advocate for uptake of research findings.• Resource mobilization for priority research in nutrition.
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• Establish a nutrition research repository database and create an access platform available to the public. • Knowledge management.• Coordination and linkage through setting up a community of practice by linking research finding to
policy implementation.• Promote nutrition research covering all areas in the field of nutrition.
4.3 Capacity Development for Nutrition Information and M&E
In order to improve system wide capacity in nutrition M&E, the four thematic areas (systemic, organizational, technical and community capacity) stipulated in the Kenya Nutrition Capacity Development Framework will guide capacity development for nutrition information and M&E. The following shall apply under this framework:
1. Nutrition M&E focal person is responsible for all aspects of capacity development in M&E and NIS including; systemic, organizational, technical and community capacity developments NIS/M&E initiatives.
2. Collection, analysis, validation and dissemination of capacity development assessment data on systemic, organizational, technical and community capacities for sound decision making on service delivery.
3. Capacity strengthening in nutrition M&E for all cadres of service delivery.
4. Link M&E systems to nutrition specific and nutrition sensitive sectors (e.g. agriculture, education, social protection, among others) to ensure adequate multi-sectorial data is available and used for decision making.
5. Monitor improved communication and linkages between regulatory organizations and partners.
4.3.1 Systemic capacity for M and E
There are several laws, guidelines and policies developed within the nutrition specific and nutrition sensitive programmes. For nutrition M&E component to be successfully implemented, this framework recommends:
• The nutrition workforce capacity to understand and implement these policies, laws, regulations and standards should be enhanced.
• The knowledge and understanding of policies among county government and other implementers should be promoted to increase the impact, coverage and monitoring of activities herein.
• Efforts should be made to ensure that county level governments allocate resources for NIS and M&E. • The M&E guidelines will be disseminated at the national, county level and at stakeholder forums using
innovative and non-resource intensive platforms. • The implementers shall be equipped with resource mobilization, planning and budgeting skills, without
which, efforts to successfully monitor nutrition activities will be undermined and frustrated.
4.3.2 Organizational capacity
The competencies required by nutrition professionals at organizational level and the areas of focus required for improved organizational capacity are key for successful monitoring and evaluation. Organizational capacity development should include the need for well-established infrastructure, tools and equipment in addition to skills enhancement. For instance, the skills for nutrition assessment can be compromised with the absence of relevant anthropometry equipment thereby negatively affecting the success of M&E activities. To ensure successful M&E competencies of implementers to coordinate M&E operations, staff and resources, as well as supervisory services, will need to be enhanced. In addition, technical oversight and capacity development for coordination within government line Ministries, NGOs, private sector, regulatory bodies and UN systems and other stakeholders addressing the various nutrition interventions will be required.
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Nutrition issues of non-technical nature such as those related to the implementation process lack a visible database such as the KHIS. This means attaining information for programming or process related indicators require an un-systemized approach between individuals at national level and sub-national levels. Therefore, verifiable indicators such as: programme documents, working group coordination minutes and other relevant reports depicting activities undertaken will serve as verification. Qualitative and quantitative assessments and evaluations conducted by NGOs or other project-based activities will also depict capacity development issues in M&E and progress made. Other key capacities within the organizational pillar include: data collection and recording; how to use this data for decision making and advocacy, developing suitable indicators and capacity to conduct high quality research and utilization of the results for learning purposes.
4.3.3 Technical capacity
This refers to both the adequacy of workforce for M&E activities in all areas and also the proficiency in knowledge and skills necessary for effective M&E and NIS implementation. Human resources for NIS and nutrition M&E is one of the aspects where there is need for improvement. The findings from M&E system review17 indicated 64.7 percent of the respondents reported that the human capacity is low, 29.5 percent indicated that it was moderate and only 5.9 percent said that it was high. To a large extent high staff turnover contributes to the inadequacy in capacity as this implies continuous training is necessary to build capacity of the new staff. At the national level, human capacity for M&E particularly at the DND and HIV and Nutrition, and TB programmes was relatively good but inadequate at the NCD programme. Most counties have employed nutritionists since devolution with disparity across counties. Likewise, capacity has improved with varying levels of intensity at the sub-county level; for many sub-counties the capacity is inadequate. Technical staff in the government and in partner organizations, both at national and county levels have contributed significantly to overall system strengthening.
Knowledge and skills for M&E varies across the data sources. For the population-based surveys (Integrated SMART surveys, MIYCN KABP, coverage, etc) the capacity to conduct these surveys is considered adequate because of the intense level of training received by those involved. Most of these surveys are funded by partners and therefore there are frequent trainings of personnel to conduct the frequently conducted surveys. However, only select highly vulnerable counties are covered and the system is heavily reliant on external funding therefore in the absence of this the system capacity would be negatively affected. For the routine data; human capacity is an issue influencing the M&E implementation, timely data collection and comprehensive reporting and quality of data right from the collection point. Funding is a major constraint limiting capacity development for M&E. Some of the inadequacies in capacity could be addressed through technical supervision, but again these are hampered by inadequate funding. More sustainable capacity development initiatives need to be further scaled up such as: on job training; mentorship programmes; and continuous professional development. A lot of effort has been geared towards capacity development for nutrition-specific interventions; capacity for nutrition-sensitive actions will require increased attention.
The M&E review findings also reported that efforts are in place to identify and utilize alternative strategies for capacity building. For example, it was reported that the Coordination Sector at the national level have conducted some capacity building for counties by teleconference. This was reported to be feasible and a cost-effective way of training because funds for per-diems is not required. The strategy has not had the same level of success at the sub-county level. Nutrition in HIV and Nutrition in TB programmes are also using this strategy for the training and dissemination of data. Nonetheless, full utilization of this strategy will depend on the change of people’s mind-set, availability of computers and internet connectivity.
Since proficiencies and competencies attained by nutrition workforce through formal training is more sustainable, this framework suggests linkage with training institutions as follows:
• DND participation in curriculum reviews to ensure M&E for nutrition is informed by practice.• Incorporation of trainers from learning institutions in review of guidelines, dissemination and roll out of
M&E programmes where possible.
17 NIS/M&E system review report December 2019
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4.3.4 Community capacity Communities shall utilize data from Nutrition M&E to ensure the following:
1) Increased community awareness that results in demand for nutrition services through increased linkage with diverse community engagement strategies: (e.g. Community Strategy, of the Ministry of Health, School Health Programmes of the Ministry of Education and Junior Farmer Field and Life School (JFFLS) of the Ministry of Agriculture). In addition, the increased nutrition awareness will also result in better community participation practices that positively influence the overall service delivery at community level. When communities are aware of the nutrition services that they ought to receive, they will prompt the health facilities and local health authorities at national and sub-national levels to capacitate health staff and link them with community systems to provide required services.
2) A vibrant community linkage to the health system network evidenced by; increased service uptake, cohesive links between community and health systems and nutrition service delivery that is responsive to community needs.
3) Increased Nutrition Sector visibility through the use of champions who utilize data and evidence from MEAL to advocate for inclusion of nutrition into county government policies.
4.4 Data Quality Assurance The data quality assurance (DQA) process will strive to ensure nutrition data is accurate, precise, reliable, timely, relevant and complete. DQA shall be conducted in data generation points, sub county level and county levels on a quarterly basis with support from national level. Tools and programmes for documenting DQA results will be used to ensure regular targeted support supervision for technical support at different levels. This shall be done to safeguard the minimum acceptable standards and ensure data produced is reliable and valid for decision making. Routine Data Quality Audits (RDQA) tools will be used to verify the quality of reported data on key indicators.18. RDQA tools shall be used to conduct routine data quality checks as part of the on-going supervision, initial and follow up assessment of the data management and reporting systems, strengthening programmes staff capacity on data management and reporting as well as conducting formal data quality audits. Areas that will be considered for audit include the following:o Reviewing availability, completeness and accuracy of all indicator source documents for the selected
reporting period.o Recounting results from source document and comparing the verified numbers to the site reported
numbers and explaining discrepancies if any.o Cross-checking reported results with other data sources, for example comparing routine data with
survey data.o Nutrition indicators definitions and reporting guidelines.o Availability of nutrition data-collection and reporting forms and tools.o Data management processes such as back up and confidentiality of source documents and registers.o M&E system Structure, Functions and Capabilities.o Compliance of reporting through the National Reporting System (KHIS).
As part of data quality audit, NITWG and Nutrition Programme teams shall conduct data clinics as well as conduct review and validation of methodology, tools and findings of all surveys and assessments in nutrition sector to inform planning and decision making for interventions.
18 https://www.measureevaluation.org/resources/publications/ms-17-117
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4.5 Funding of the M&E system
The funding for the M&E system shall respond to the multi-sector Kenya National Nutrition Action Plan 2018-2022 and shall be advocated for and be sourced from various ministries namely; health, livestock, fisheries, water and agriculture. The key oversight ministry shall be the Ministry of Health. This model will similarly be adopted at the county level departments based on their local multi-sectoral relationships. Partnerships with Non-Governmental Organizations (NGOs) and business entities involved in support of the nutrition specific or nutrition sensitive actions will complement the funding for the system. Business entities including but not limited to those involved in food fortification shall be approached to invest in market surveys and compliance monitoring within the production industry.
According to the M&E system review, 65.6 percent of the respondents stated that funding for M&E activities is poor while one-third (31.3 percent) stated that it was moderate. The appropriate response to this would be to target investment and financial accountability for M&E activities that align to the nutrition activity investments for nutrition sensitive and specific activities.
To ensure successful monitoring and evaluation of activities, 5 to 10% of the total DND nutrition activity budgets, County departments budgets and partners’ project budget with relevant nutrition activities should be allocated to the multi-sector monitoring and evaluation activities. This does not include funds allocated for human resource. National, county and partner funding commitments should demonstrate both allocation and disbursement of their funding quota as part of the sustainability model for the M&E system.
The funds generated will be used for production of data collection tools, M&E trainings, upgrade/maintenance of computer hardware and related networks, development/maintenance costs of software for nutrition database, costs related to data collection, cleaning and transmission, data analysis and meta-analysis, information dissemination, accountability and learning forums, communication and supportive supervision to give on-the-job technical assistance.
To ensure implementation of this requirement, a clause on this condition will be included in any agreement that the division signs with its partners with both parties demonstrating to co-share in allocation and eventual disbursement. The DND programmes will also take part in funds mobilization while taking advantage of the existing periodic surveys and systems e.g. MICS, KHIBS, DHS, Health facility Assessment survey to include specific programmes indicators as defined through the M&E framework.
4.5.1 Advocacy for nutrition information and M&E
Advocacy and resource mobilization for nutrition information and M&E shall be enhanced through the following:1) Nutrition activities shall constantly require increased activity funding allocations. To demonstrate the
funding gaps, information generated from county and national public accounts will be synthesized and shared as a point of advocacy to mobilize for more support from the County and National government funding mechanisms.
2) In order to increase the prominence of the NIS/M&E system, there will be need to constantly advocate for increased funding to MEAL activities as stipulated in the M&E framework to cover the M&E activity gaps. The agencies who are custodians of operationalization of the NIS/M&E Framework should build confidence of prospective funders/donors by increasing the level of accountability around how much was allocated/available and how much has been spent and what is the cost-benefit of the investment.
3) Advocacy efforts for funding of M&E/NIS activities must also include financial joint planning that limits duplication of funding efforts within the defined multi-sector context. This will broaden the base of funding opportunities for NIS/M&E activities.
4.5.2 Costing
The KNAP M&E implementation framework will cost a total of Ksh1, 014,110,000 shown in Table 25. Annex 7 presents detailed financial resource requirement by year.
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Table 25: Cost of the M&E framework Implementation (figures captured are in millions)
Aspect/Year 1 2 3 4 5 Total Monitoring Ksh.32.86 Ksh. 30.01 Ksh 39.18 Ksh 30.35 Ksh 85.15 Ksh.217.55Evaluation Ksh 60.15 Ksh 60.15 Ksh. 165.15 Ksh. 60.15 Ksh. 60.15 Ksh.405.75Accountability X X X X X XLearning Ksh.30.74 Ksh. 22.25 Ksh.28.97 Ksh. 26.11 Ksh. 25.87 Ksh.133.94Capacity development Ksh.31.37 Ksh. 83.33 Ksh. 36.99 Ksh. 36.58 Ksh. 68.6 Ksh.256.87
Total (in millions) Ksh.155.12 Ksh.195.74 Ksh.270.29 Ksh.153.19 Ksh.239.77 Ksh.1,014.11
4.6 Accountability: Feedback and Response mechanisms An effective feedback and response mechanism is critical for successful implementation of nutrition programmes. It promotes accountability in the programme by providing means to identify and respond to information requests, suggestions and complaints. Different channels will be used for giving feedback, complaints and response - these channels will include; community meetings and dialogues, community scorecards, suggestion boxes, hotlines, SMS platforms, monitoring visits focused on stakeholders’ feedback, designated feedback days for the local office/ facilities to receive feedback as well as through emails.
Feedback will be provided at various levels of coordination and implementation to improve delivery of nutrition services. The processes for providing the feedback will be as follows:
1) Counties will provide feedback to implementers and service delivery points during support supervision and review visits. These visits will be informed by feedback issues identified in the reports.
2) Counties and sub-counties will interrogate the performance of nutrition indicators and provide feedback on the progress.
3) At the national and county levels, there will be regular generation of data on critical issues to be addressed.
At the national and county levels NTF and CNTF respectively, a task force will be formed that regularly receives and relays information to the stakeholders. This will enable the teams to be accountable at every level.
4.7 Updating of the Framework
The life of this framework is 5 years, in line with the KNAP 2018-2022. Regular update of the M&E plan will be done based on modification and/or inclusion of new interventions into the Division of Nutrition and Dietetics. M&E plan will be revised if new interventions to achieve any of the programme specific objectives are introduced based on the Kenya Nutrition Action Plan. A mid-term review of the framework will be done in 2020 to measure progress of its implementation and make necessary amendments.
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L Maina-Gathigi et al- (2017). Improving Nutrition Information Systems: Lessons from Kenya
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KELIN’S Monitoring and Evaluation Framework 2017
Kenya National Bureau of Statistics (2014). Kenya Demographic and Health Survey 2014.
Kenya Malaria Monitoring and Evaluation Plan 2009-2018 (Revised Edition 2014)
Measure Evaluation (2017) Data Quality Assurance: Data quality Auditing, Routine data quality assessment tools
Ministry of Health (2011). Kenya National Micronutrient Survey
Ministry of Health (2017) National Nutrition Action Plan (NNAP) 2012-2017 Implementation Review ReportMinistry of Health. (2013). Nutrition Monitoring and Evaluation Framework 2013. Nairobi: Division of Nutrition
Ministry of Health (2014). Kenya Nutrition Capacity development framework 2014-2019
Ministry of Health (2018): The Kenya Nutrition Action Plan (KNAP), 2018 –2022
Ministry of Health. (2019). Kenya Nutrition Action Plan 2018-2022. Nairobi: Division of Nutrition and Dietetics.
National AIDS Control Council (2014): Kenya AIDS Strategic Framework - M&E Framework 2014/15 – 2018/19
National Drought Management Authority. (2018). Strategic Plan 2018-2022
Rogers, P. (2014). Theory of Change: Methodological Briefs-Impact Evaluation No. 2 (No. innpub747).SDGs, U. N. United Nations Sustainable Development Goals, 2015.
Statistics, B. K. (2018). Kenya Integrated Household Survey.
Statistics, B. O. F. (2015). KENYA STEPwise Survey for Non-Communicable Diseases Risk Factors 2015 Report.
Sumit Malhotra (2010): Operations Research in Public Health
UNICEF (2017): Results Based Management Handbook - working together for children.
WHO (2008). Guide for Documenting and Sharing “Best Practices” in Health Programmes.
WHO (2009). Monitoring and Evaluation of health Systems strengthening.
WHO (2010). Nutrition Landscape Information System (NLIS) county profile indicators. Geneva.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202276
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 77
Annexes
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202278
Indi
cato
rs
Very
Low
Low
Med
ium
H
igh
Very
Hig
h W
astin
g <2
.5%
2.5%
-<5%
5% to
<10
%10
% to
<15
%≥
15%
Over
wei
ght
<2.5
%2.
5%-<
5%5%
to <
10%
10%
to <
15%
≥ 15
%St
untin
g <2
.5%
2.5%
-<10
%10
% to
<20
%20
% to
<30
%≥
30%
Indi
cato
rsAc
cept
able
Aler
tSe
riou
sCr
itic
alVe
ry cr
itica
lM
ean w
eight
for h
eigh
t (W
HZ)
>-0.
04-0
.40
to -0
.69
-0.7
0 to
-0.9
9;>u
sual
/in
crea
sing
<-1.
00; >
usua
l /in
crea
sing
GAM
by M
UAC c
hild
ren (
%<1
2.5)
<5%
<5%
with
in
crea
se fr
om
seas
onal
trend
s
5.0
-9.9
%10
.0 – 1
4.9%
, or w
here
ther
e is
si
gnifi
cant
incr
ease
from
seas
onal
tren
ds
>15%
, or w
here
ther
e is
signi
fican
t inc
reas
e fro
m
seas
onal
tren
dsAd
ult M
UAC
– Pr
egna
nt an
d Lac
tatin
g (%
<23.
0cm
, sph
ere
04)
<9.5
%9.
5% -
14.9
%15
– 2
1.9%
22.0
– 2
7.9%
≥28%
Adul
t MUA
C –
Non
- Pre
gnan
t and
Non
- La
ctatin
g (%
<18.5
cm, s
pher
e 04
)<0
.3%
0.3
- 0.4
9%0.
5 - 0
.69%
0.7
– 1.
99%
≥2.0
%
Indi
cato
rsLo
wM
ediu
m
Hig
h Pr
eval
ence
Very
Hig
h pr
eval
ence
Adul
t BM
I<18
.5<1
0%10
.0 to
19.
9%20
.0 to
39.
9%>4
0%In
dica
tor
No
Publ
ic
heal
th p
robl
emM
ild p
ublic
he
alth
pro
blem
Mod
erat
e pu
blic
he
alth
pro
blem
Seve
re p
ublic
hea
lth
prob
lem
Anem
ia19
<110
g/l a
t sea
leve
l<4
.95.
0-19
.920
.0-3
9.9
≥40.
0
Poor
HH
diet
ary
Dive
rsity
(% co
nsum
ing
<4 fd
gps)
)<5
%5-
9.9%
10-2
4.9%
25-4
9.9%
≥ 50
%
Brea
stfe
edin
g pra
ctice
s: (i)
EBF,
(ii) C
ontin
ued B
F at 1
yr.
(iii)C
ontin
ued B
F at 2
yr. r
efer
ence
≥90%
50-8
9%12
-49%
0-11
%
Vita
min
A su
pple
men
tatio
n co
vera
ge: 1
dose
in la
st 6
m
onth
s≥9
5%80
-94.
9%<8
0%
Crud
e dea
th ra
te/10
000/
day
<0.5
0.5
to <
11
to <
2 in
clud
e in
forma
tion o
n the
m
ain ca
uses
2 to ≤
5 inc
lude
in
form
atio
n on
the m
an ca
uses
>5 o
r dou
blin
g of r
ate fr
om
prec
edin
g pha
se. In
clude
main
ca
uses
Unde
r five
year
s dea
th ra
tes/
1000
0/da
y<1
1-1.
992-
3.9/
1000
0/da
y inc
lude m
ain ca
use
4 to
9.9
or
doub
ling
from
pr
eviou
s pha
se,
inclu
de m
ain
caus
e
≥10
or d
oubl
ing r
ate fr
om
prec
edin
g pha
se. In
clude
main
ca
use
Ann
ex 1
: N
utri
tion
indi
cato
rs th
resh
olds
19
WH
O (2
010)
. Nut
ritio
n La
ndsc
ape
Info
rmat
ion
Syst
em (N
LIS)
coun
ty p
rofil
e in
dica
tors
. Gen
eva.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 79
Anne
x 2
Indi
cato
r Co
mpe
ndiu
mAn
nex
2.1
Anth
ropo
met
ric
mea
sure
men
tsIn
dica
tor
Des
crip
tion
N
umer
ator
Den
omin
ator
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Perc
enta
ge o
f chi
ldre
n le
ss th
an fi
ve (<
5)
year
s who
are
stun
ted
Stun
ting
Hei
ght f
or a
ge
<-2
z-sc
ore
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all
belo
w m
inus
two
stan
dard
de
viat
ions
from
the
med
ian
heig
ht-fo
r-ag
e of
the
WH
O Ch
ild G
row
th S
tand
ards
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars)
Inte
grat
ed S
MAR
T su
rvey
s pro
vide
dat
a fo
r chi
ldre
n 6
to 5
9 m
onth
s
Disa
ggre
gatio
n:Ag
e, S
ex, L
ocat
ion
(urb
an/r
ural
), Bo
unda
ries
Perc
enta
ge o
f chi
ldre
n le
ss th
an fi
ve (<
5)
year
s who
are
seve
rely
st
unte
d
Seve
re
stun
ting
Hei
ght f
or a
ge
<- 3
z-sc
ore
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all b
elow
m
inus
thre
e st
anda
rd
devi
atio
ns fr
om th
e m
edia
n he
ight
-for-
age
of th
e W
HO
Child
Gro
wth
Sta
ndar
ds
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars)
Inte
grat
ed S
MAR
T su
rvey
s pro
vide
dat
a fo
r chi
ldre
n 6
to 5
9 m
onth
s
Perc
enta
ge o
f chi
ldre
n un
der t
he a
ge o
f fiv
e ye
ars,
who
are
was
ted
(acu
te m
alnu
triti
on).
Wei
ght f
or h
eigh
t Z-
scor
e
Was
ting/
ac
ute
mal
nutr
ition
(<
-2 z-
scor
e an
d/or
oe
dem
a)
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all
belo
w m
inus
two
stan
dard
de
viat
ions
from
the
med
ian
wei
ght f
or h
eigh
t of
the
WH
O Ch
ild G
row
th
Stan
dard
s
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n-ba
sed
surv
eys.
KDH
S, S
MAR
T su
rvey
s
Peri
odic
ally
(eve
ry 2
-5
year
s)
Cond
ucte
d an
nual
or
sem
i-ann
ually
in a
reas
th
at a
re p
rone
to sh
ocks
Freq
uenc
y sh
ould
be
incr
ease
d du
ring
sh
ocks
or e
mer
genc
ies
for e
arly
det
ectio
n of
de
teri
orat
ing
situ
atio
n an
d to
info
rm re
spon
se
Perc
enta
ge o
f chi
ldre
n un
der t
he a
ge o
f fiv
e ye
ars,
who
are
seve
rely
w
aste
d/se
vere
acu
te
mal
nutr
ition
W
eigh
t for
hei
ght
Z-sc
ore
Was
ting
(<-3
z-sc
ore
and/
or
oede
ma)
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all b
elow
m
inus
thre
e st
anda
rd
devi
atio
ns fr
om th
e m
edia
n w
eigh
t for
hei
ght
of th
e W
HO
Child
Gro
wth
St
anda
rds a
nd/o
r oed
ema
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n-ba
sed
surv
eys.
KDH
S, S
MAR
T su
rvey
s
Peri
odic
ally
(eve
ry 2
-5
year
s
Cond
ucte
d an
nual
or
sem
i-ann
ually
in a
reas
th
at a
re p
rone
to sh
ocks
Prev
alen
ce o
f Acu
te
Mal
nutr
ition
by
MUA
CGA
M b
y M
UAC
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths w
ith M
UAC
< 12
5 m
m a
nd/o
r oed
ema)
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
s:
SMAR
T su
rvey
s, N
DMA
Early
war
ning
sy
stem
, mas
s sc
reen
ing,
MIY
CN-E
ra
pid
asse
ssm
ents
Peri
odic
ally
(eve
ry 2
-5
year
s
Cond
ucte
d an
nual
ly o
r se
mi-a
nnua
lly in
are
as
that
are
pro
ne to
shoc
ks
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202280
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orU
nit o
f M
easu
reD
ata
Colle
ctio
n M
etho
dRe
port
ing
Com
men
ts
Prev
alen
ce o
fse
vere
acu
te
mal
nutr
ition
by
MUA
C
SAM
by
MUA
C N
umbe
r of c
hild
ren
aged
0-
59 m
onth
s with
MUA
C <
115
mm
and
/or o
edem
a)
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
s:
SMAR
T su
rvey
s, N
DMA
Early
war
ning
sy
stem
, mas
s sc
reen
ing,
MIY
CN-E
ra
pid
asse
ssm
ents
Peri
odic
ally
(eve
ry 2
-5
year
s
Cond
ucte
d an
nual
or
sem
i-ann
ually
in a
reas
th
at a
re p
rone
to sh
ocks
Prev
alen
ce o
f un
derw
eigh
t(<
-2 z-
scor
e)
Unde
rwei
ght
Wei
ght f
or
age
<-
2 z-
scor
e
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all
belo
w m
inus
two
stan
dard
de
viat
ions
from
the
med
ian
wei
ght -
for-
age
of th
e W
HO
Child
Gro
wth
Sta
ndar
ds
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars
Prev
alen
ce o
f sev
ere
unde
rwei
ght
(<-3
z-sc
ore)
Seve
re
unde
rwei
ght
Wei
ght f
or
age
<-
3 z-
scor
e
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all b
elow
m
inus
thre
e st
anda
rd
devi
atio
ns fr
om th
e m
edia
n w
eigh
t -fo
r-ag
e of
the
WH
O Ch
ild G
row
th S
tand
ards
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars
Perc
enta
ge o
f und
er-
five
Child
ren
atte
ndin
g CW
C w
ho a
re u
nder
-W
eigh
t
Rout
ine
mea
sure
men
t an
d th
e ch
ild
wel
fare
clin
ic
Num
ber o
f chi
ldre
n un
der
the
age
of 5
yea
rs a
tten
ding
CW
Cw
ith w
eigh
t for
age
bel
ow-2
SD
Tota
l num
ber
of ch
ildre
nun
der 5
yea
rs
wei
ghed
at t
heCW
C
Perc
enta
ge
KHIS
agg
rega
te (K
HIS
)M
onth
ly
Hea
lth fa
cilit
y da
ta –
may
not
be
repr
esen
tativ
e of
the
targ
et p
opul
atio
n as
on
ly a
pro
port
ion
of
the
popu
latio
n m
ay
be a
tten
ding
CW
C es
peci
ally
am
ong
child
ren
abov
e on
e ye
ar
Perc
enta
ge o
f chi
ldre
nun
der 5
yea
rs w
ho a
reat
tend
ing
MCH
for
grow
th m
onito
ring
for
the
first
tim
e.
Grow
th
mon
itori
ng
and
prom
otio
n
Num
ber o
f Chi
ldre
n un
der 5
year
s who
are
att
endi
ng
MCH
for g
row
th m
onito
ring
for
the
first
tim
e
Tota
l num
ber
of ch
ildre
nun
der f
ive
year
s old
in th
eca
tchm
ent a
rea
Perc
enta
ge
KHIS
agg
rega
te
Mon
thly
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 81
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orU
nit o
f M
easu
reD
ata
Colle
ctio
n M
etho
dRe
port
ing
Com
men
ts
Prop
ortio
n of
child
ren
6-59
mon
ths w
ith
mod
erat
e ac
ute
mal
nutr
ition
(MAM
) re
ceiv
ing
trea
tmen
t
MAM
indi
rect
co
vera
geN
o. o
f new
MAM
case
s w
ho re
ceiv
ed tr
eatm
ent
(out
patie
nt o
r in-
patie
nt
care
) in
the
mon
th
prec
edin
g
No.
of M
AM
case
s in
catc
hmen
t are
a
Perc
enta
geN
umer
ator
from
ro
utin
e da
ta –
KH
IS
aggr
egat
e
Deno
min
ator
: se
ason
al a
sses
smen
ts
- cas
eloa
d ca
lcul
atio
n te
mpl
ate
Mon
thly
Re
com
men
ded
not t
o ca
lcul
ate
a pe
rcen
tage
pe
r HF
but r
athe
r tra
ck
adm
issi
ons t
rend
s;
calc
ulat
ing
cove
rage
is
bett
er d
one
at h
ighe
r le
vel.
Raw
adm
issi
ons
tren
ds ca
n be
use
d fo
r sur
veill
ance
; if
adm
issi
ons t
rend
s var
y fr
om p
revi
ous y
ears
, th
is ca
n be
pot
entia
lly
used
to in
terp
ret
the
seve
rity
of a
cute
m
alnu
triti
on si
tuat
ion
in th
at a
rea.
Prop
ortio
n of
ch
ildre
n 6-
59 m
onth
s w
ith m
oder
ate
acut
e m
alnu
triti
on
disc
harg
ed a
s: a
) Cu
red,
b) D
ied,
c)
Defa
ulte
d
MAM
pr
ogra
mm
es
trea
tmen
t ou
tcom
es:
cure
d de
faul
ted,
di
scha
rged
Num
ber o
f chi
ldre
n 6-
59
mon
ths w
ith m
oder
ate
acut
e m
alnu
triti
on
disc
harg
ed a
s: a
) Cur
ed, b
) Di
ed, c
) Def
aulte
d
Num
ber o
f ch
ildre
n 6-
59
mon
ths w
ith
mod
erat
e ac
ute
mal
nutr
ition
di
scha
rged
fr
om tr
eatm
ent
Perc
enta
ge
KHIS
agg
rega
te
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orU
nit o
f M
easu
reD
ata
Colle
ctio
n M
etho
dRe
port
ing
Com
men
ts
Prev
alen
ce o
fse
vere
acu
te
mal
nutr
ition
by
MUA
C
SAM
by
MUA
C N
umbe
r of c
hild
ren
aged
0-
59 m
onth
s with
MUA
C <
115
mm
and
/or o
edem
a)
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d.
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
s:
SMAR
T su
rvey
s, N
DMA
Early
war
ning
sy
stem
, mas
s sc
reen
ing,
MIY
CN-E
ra
pid
asse
ssm
ents
Peri
odic
ally
(eve
ry 2
-5
year
s
Cond
ucte
d an
nual
or
sem
i-ann
ually
in a
reas
th
at a
re p
rone
to sh
ocks
Prev
alen
ce o
f un
derw
eigh
t(<
-2 z-
scor
e)
Unde
rwei
ght
Wei
ght f
or
age
<-
2 z-
scor
e
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all
belo
w m
inus
two
stan
dard
de
viat
ions
from
the
med
ian
wei
ght -
for-
age
of th
e W
HO
Child
Gro
wth
Sta
ndar
ds
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars
Prev
alen
ce o
f sev
ere
unde
rwei
ght
(<-3
z-sc
ore)
Seve
re
unde
rwei
ght
Wei
ght f
or
age
<-
3 z-
scor
e
Num
ber o
f chi
ldre
n ag
ed
0-59
mon
ths t
hat f
all b
elow
m
inus
thre
e st
anda
rd
devi
atio
ns fr
om th
e m
edia
n w
eigh
t -fo
r-ag
e of
the
WH
O Ch
ild G
row
th S
tand
ards
Tota
l num
ber
of ch
ildre
n 0-
59 m
onth
s w
ho a
re
mea
sure
d
Perc
enta
ge
Popu
latio
n ba
sed
hous
ehol
d su
rvey
sPe
riod
ical
ly (e
very
2-5
ye
ars
Perc
enta
ge o
f und
er-
five
Child
ren
atte
ndin
g CW
C w
ho a
re u
nder
-W
eigh
t
Rout
ine
mea
sure
men
t an
d th
e ch
ild
wel
fare
clin
ic
Num
ber o
f chi
ldre
n un
der
the
age
of 5
yea
rs a
tten
ding
CW
Cw
ith w
eigh
t for
age
bel
ow-2
SD
Tota
l num
ber
of ch
ildre
nun
der 5
yea
rs
wei
ghed
at t
heCW
C
Perc
enta
ge
KHIS
agg
rega
te (K
HIS
)M
onth
ly
Hea
lth fa
cilit
y da
ta –
may
not
be
repr
esen
tativ
e of
the
targ
et p
opul
atio
n as
on
ly a
pro
port
ion
of
the
popu
latio
n m
ay
be a
tten
ding
CW
C es
peci
ally
am
ong
child
ren
abov
e on
e ye
ar
Perc
enta
ge o
f chi
ldre
nun
der 5
yea
rs w
ho a
reat
tend
ing
MCH
for
grow
th m
onito
ring
for
the
first
tim
e.
Grow
th
mon
itori
ng
and
prom
otio
n
Num
ber o
f Chi
ldre
n un
der 5
year
s who
are
att
endi
ng
MCH
for g
row
th m
onito
ring
for
the
first
tim
e
Tota
l num
ber
of ch
ildre
nun
der f
ive
year
s old
in th
eca
tchm
ent a
rea
Perc
enta
ge
KHIS
agg
rega
te
Mon
thly
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202282
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orU
nit o
f M
easu
reD
ata
Colle
ctio
n M
etho
dRe
port
ing
Com
men
ts
Prop
ortio
n of
ch
ildre
n 6-
59 m
onth
s w
ith se
vere
acu
te
mal
nutr
ition
rece
ivin
g tr
eatm
ent
SAM
indi
rect
co
vera
geN
o. o
f new
SAM
case
s w
ho re
ceiv
ed tr
eatm
ent
(out
patie
nt o
r in-
patie
nt
care
) in
the
mon
th
prec
edin
g
No.
of S
AM
case
s in
catc
hmen
t are
a
Perc
enta
geN
umer
ator
from
ro
utin
e da
ta –
KH
IS
aggr
egat
e
Deno
min
ator
: se
ason
al a
sses
smen
ts
- cas
eloa
d ca
lcul
atio
n te
mpl
ate
Reco
mm
ende
d no
t to
calc
ulat
e a
perc
enta
ge
per H
F bu
t rat
her t
rack
ad
mis
sion
s tre
nds;
ca
lcul
atin
g co
vera
ge is
be
tter
don
e at
hig
her
leve
l.
Raw
adm
issi
ons
tren
ds ca
n be
use
d fo
r sur
veill
ance
; if
adm
issi
ons t
rend
s var
y fr
om p
revi
ous y
ears
, th
is ca
n be
pot
entia
lly
used
to in
terp
ret
the
seve
rity
of a
cute
m
alnu
triti
on si
tuat
ion
in th
at a
rea.
Prop
ortio
n of
ch
ildre
n 6-
59
mon
ths w
ith se
vere
ac
ute
mal
nutr
ition
di
scha
rged
as:
a)
Cure
d, b
) Die
d, c)
De
faul
ted
SAM
pro
gram
mes
trea
tmen
t ou
tcom
es: c
ured
def
aulte
d,
disc
harg
ed
Num
ber o
f ch
ildre
n 6-
59
mon
ths w
ith
seve
re a
cute
m
alnu
triti
on
disc
harg
ed
as: a
) Cur
ed,
b) D
ied,
c)
Defa
ulte
d
Num
ber o
f ch
ildre
n 6-
59
mon
ths w
ith
seve
re a
cute
m
alnu
triti
on
disc
harg
ed
from
trea
tmen
t (e
xcl.
tran
sfer
s)
KHIS
agg
rega
te
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 83
Anne
x 2.
2 In
dica
tors
to a
sses
s fo
r M
NPs
pro
gram
mes
cov
erag
e in
pop
ulat
ion-
base
d su
rvey
s In
dica
tors
to a
sses
s MN
Ps p
rogr
amm
es p
erfo
rman
ce a
nd co
vera
ge sh
ould
cove
r the
follo
win
g co
mpo
nent
s: co
mm
odity
ava
ilabi
lity,
hum
an re
sour
ce,
geog
raph
ic co
vera
ge, u
tiliz
atio
n an
d co
mm
unity
capa
city
to d
eman
d fo
r MN
Ps se
rvic
es.
MN
P Co
vera
ge In
dica
tors
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gIn
terp
reta
tion
Com
mod
itie
s av
aila
bilit
yPr
opor
tion
of h
ealth
faci
litie
s th
at d
o no
t hav
e M
NPs
Sto
cks
Hea
lth fa
cilit
ies
with
out M
NPs
stoc
ksN
umbe
r of h
ealth
fa
cilit
ies w
ithou
t M
NPs
stoc
ks
Num
ber o
f Hea
lth
faci
litie
s in
the
Coun
tyPe
rcen
tage
MoH
734
(L
MIS
Rep
ort)
Mon
thly
Hum
an R
esou
rce
Prop
ortio
n of
hea
lth w
orke
rs
prov
idin
g M
NPs
serv
ices
Hea
lth w
orke
rs
offe
ring
the
MN
Ps
serv
ices
Num
ber o
f hea
lth
wor
kers
pro
vidi
ng
MN
Ps se
rvic
es
Tota
l num
ber o
f hea
lth
wor
kers
sam
pled
/in
terv
iew
ed
Perc
enta
ge
KAP
surv
ey
Ever
y 2
year
s
Prop
ortio
n of
hea
lth w
orke
rs
prov
idin
g M
NPs
who
hav
e be
en tr
aine
d on
MN
Ps
guid
elin
es
Hea
lth w
orke
rs
prov
idin
g M
NPs
se
rvic
es tr
aine
d on
th
e gu
idel
ines
Num
ber o
f hea
lth
wor
kers
pro
vidi
ng
MN
Ps se
rvic
es w
ho
have
bee
n tr
aine
d on
th
e M
NPs
gui
delin
es
Tota
l Num
ber o
f hea
lth
wor
kers
in th
e Co
untr
y/Co
unty
/Sam
pled
Perc
enta
geCa
paci
ty
asse
ssm
ent
repo
rts
Ever
y 2
year
s
Geog
raph
ical
cov
erag
e Pr
opor
tion
of h
ealth
faci
litie
s of
feri
ng M
NPs
serv
ices
Hea
lth fa
cilit
ies
offe
ring
MN
PS
serv
ices
Num
ber o
f hea
lth
faci
litie
s offe
ring
M
NPS
serv
ices
Tota
l num
ber o
f hea
lth
faci
litie
s in
a Co
unty
/Re
gion
sam
pled
Perc
enta
geLQ
ASAd
hoc
as
sess
men
ts
Ever
y 2
year
sH
ealth
faci
litie
s of
feri
ng M
NPS
sh
ould
be
equa
lly
dist
ribu
ted
to e
nsur
e as
m
any
child
ren
as p
ossi
ble
are
reac
hed
Prop
ortio
n of
hea
lth fa
cilit
ies
with
MN
Ps p
olic
y an
d IE
C m
ater
ials
Hea
lth fa
cilit
ies w
ith
MN
Ps p
olic
y an
d IE
C m
ater
ials
Num
ber o
f hea
lth
faci
litie
s with
MN
Ps
polic
y a
nd IE
C
mat
eria
ls
Tota
l num
ber o
f hea
lth
faci
litie
s in
the
coun
try/
regi
on o
r sam
pled
in a
su
rvey
Perc
enta
ge
SMAR
T su
rvey
sKA
P su
rvey
LQ
AS
Annu
ally
Ev
ery
2 ye
ars
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202284
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gIn
terp
reta
tion
Uti
lizat
ion
Prop
ortio
n of
Chi
ldre
n 6
to
23 m
onth
s enr
olle
d in
MN
Ps
prog
ram
mes
Child
ren
6 to
23
mon
ths w
ho re
ceiv
e M
NPs
from
hea
lth
faci
litie
s
Num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s en
rolle
d in
MN
Ps
Prog
ram
mes
Tota
l num
ber o
f chi
ldre
n 6
to 2
3 in
the
catc
hmen
t ar
ea o
r sam
pled
in ca
se o
f su
rvey
s
Perc
enta
geM
oH 7
11SM
ART
Surv
eys
KAP
Surv
eys
Mon
thly
Annu
ally
Once
in 2
ye
ars
Prop
ortio
n of
care
give
rs
of ch
ildre
n 6
to 2
3 m
onth
s re
ceiv
ing
coun
selin
g on
use
of
MN
Ps
Care
give
rs o
f chi
ldre
n 6
to 2
3 m
onth
s re
ceiv
ing
coun
selin
g on
use
of M
NPs
Num
ber o
f ca
regi
vers
of
child
ren
6 to
23
mon
ths r
ecei
ving
co
unse
ling
on u
se o
f M
NPs
Tota
l num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s sam
pled
in
the
surv
ey a
rea
Perc
enta
geSM
ART
surv
eys
KAP
surv
eys
Annu
ally
once
in 2
ye
ars
Prop
ortio
n of
care
give
rs o
f ch
ildre
n 6
to 2
3 m
onth
s with
co
rrec
t kno
wle
dge
on th
e fr
eque
ncy
of g
ivin
g M
NPs
Care
give
rs o
f chi
ldre
n 6
to 2
3 m
onth
s with
th
e co
rrec
t kno
wle
dge
on fr
eque
ncy
of g
ivin
g M
NPs
Num
ber o
f ca
regi
vers
of
child
ren
6 to
23
mon
ths w
ho g
ive
corr
ect k
now
ledg
e on
MN
Ps fr
eque
ncy
Tota
l num
ber o
f ca
regi
vers
of c
hild
ren
6 to
23
mon
ths i
n th
e co
untr
y/co
unty
/sam
pled
Perc
enta
ge
KAP
surv
eys
Ever
y 2
year
s
Prop
ortio
n of
care
give
rs
of ch
ildre
n 6
to 2
3 m
onth
s re
ceiv
ing
MN
Ps fo
r 6
cont
inuo
us m
onth
s
Care
give
rs o
f chi
ldre
n 6
to 2
3 m
onth
s re
ceiv
ing
MN
Ps a
s per
th
e sc
hedu
le
Num
ber o
f ca
regi
vers
of
child
ren
6 to
23
mon
ths r
ecei
ving
M
NPs
for 6
co
ntin
uous
mon
ths
Tota
l num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s in
the
catc
hmen
t pop
ulat
ion
or
tota
l num
ber o
f chi
ldre
n sa
mpl
ed in
a su
rvey
Perc
enta
ge
SMAR
T su
rvey
sKA
P su
rvey
s71
1
Annu
ally
On
ce in
2
year
s
Prop
ortio
n of
care
give
rs
of ch
ildre
n 6
to 2
3 m
onth
s re
port
ing
cons
umpt
ion
of 8
0%
of M
NPs
sach
ets i
n th
e la
st 6
m
onth
s
Child
ren
6 to
23
mon
ths w
ho
cont
inuo
usly
rece
ives
M
NPs
and
cons
umes
at
leas
t 80%
of M
NPs
Num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s who
co
nsum
ed 8
0% o
f M
NPs
rece
ived
in th
e pa
st 6
mon
ths
Num
ber o
f chi
ldre
n 6
to
23 m
onth
s in
catc
hmen
t po
pula
tion
or sa
mpl
ed in
a
surv
ey
Perc
enta
geM
oH 7
11SM
ART
Surv
eyKA
BP S
urve
y
Mon
thly
Annu
ally
Once
in tw
o ye
ars
Prop
ortio
n of
care
give
rs
with
child
ren
6 to
23
mon
ths
repo
rtin
g no
n-co
nsum
ptio
n of
M
NPs
due
to a
ny b
arri
er
Care
give
rs o
f chi
ldre
n 6
to 2
3 m
onth
s w
ho re
port
non
-co
nsum
ptio
n of
MN
Ps
by th
e ch
ildre
n du
e to
na
y ba
rrie
r
Num
ber o
f ca
regi
vers
of
child
ren
6 to
23
mon
ths r
epor
ting
non-
cons
umpt
ion
of M
NPs
due
to a
ny
reas
on
Num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s in
the
catc
hmen
t pop
ulat
ion
or
sam
pled
in th
e su
rvey
Perc
enta
ge
SMAR
T su
rvey
KAP
surv
eyAn
nual
ly
Once
in tw
o ye
ars
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 85
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gIn
terp
reta
tion
Com
mun
ity
serv
ice
Prop
ortio
n of
com
mun
ity u
nits
w
ith C
HVs
sens
itize
d on
MN
PsCo
mm
unity
uni
ts w
ith
CHVs
sens
itize
d on
t M
NPs
Num
ber o
f co
mm
unity
uni
ts
with
CH
Vs se
nsiti
zed
on th
e us
e an
d im
port
ance
of M
NPs
Tota
l num
ber o
f co
mm
unity
uni
ts in
th
e co
untr
y/co
unty
or
sam
pled
com
mun
ity u
nits
in
a su
rvey
Perc
enta
ge
KAP
surv
eyLQ
ASEv
ery
2 ye
ars
Annu
ally
Perc
enta
ge o
f car
egiv
ers o
f ch
ildre
n 6
to 2
3 m
onth
s who
ha
ve b
een
refe
rred
for M
NPs
se
rvic
es fr
om th
e co
mm
unity
Care
give
rs o
f chi
ldre
n 6
to 2
3 m
onth
s bei
ng
refe
rred
by
CHVs
for
MN
Ps se
rvic
es
Num
ber o
f ca
regi
vers
of
child
ren
6 to
23
mon
ths r
efer
red
by C
HVs
for M
NPs
se
rvic
es
Tota
l num
ber o
f chi
ldre
n 6
to 2
3 m
onth
s in
the
catc
hmen
t pop
ulat
ion
or
sam
pled
in a
surv
ey
Perc
enta
ge
KAP
surv
eyEv
ery
2 ye
ars
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202286
Anne
x 2.
3 In
dica
tors
to a
sses
s IF
AS p
rogr
amm
es
In 2
015,
the
Keny
a nu
triti
on se
ctor
ado
pted
key
indi
cato
rs d
urin
g a
data
clin
ic a
s tab
ulat
ed b
elow
:
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Dat
a co
llect
ion
met
hods
Repo
rtin
gIn
terp
reta
tion
/co
mm
ents
Cons
umpt
ion
Prop
ortio
n of
pre
gnan
t w
omen
cons
umin
g fo
lic
IFAS
in th
e fir
st tr
imes
ter
of p
regn
ancy
of t
heir
last
bi
rth
Perc
enta
ge o
f pre
gnan
t w
omen
who
cons
umed
IF
AS in
the
first
tr
imes
ter o
f pre
gnan
cy
of th
eir l
ast b
irth
# of
pre
gnan
t wom
en
repo
rtin
g ha
ving
co
nsum
ed IF
AS d
urin
g th
e fir
st tr
imes
ter o
f pr
egna
ncy
of th
eir l
ast
birt
h
Num
ber o
f wom
en
with
a li
ve b
irth
sa
mpl
ed in
the
surv
ey
Perc
enta
geCa
regi
vers
with
ch
ildre
n un
der t
wo
year
s thr
ough
KAP
, LQ
AS su
rvey
s
Bian
nual
ly
or E
very
th
ree
year
s
IFAS
is v
ery
criti
cal
in th
e fir
st 2
8 da
ys o
f pr
egna
ncy
Prop
ortio
n of
pre
gnan
t w
omen
rece
ived
IFAS
du
ring
pre
gnan
cy o
f the
ir
last
bir
th
Perc
enta
ge o
f pre
gnan
t w
omen
who
rece
ived
IF
AS d
urin
g pr
egna
ncy
of th
eir l
ast b
irth
# of
pre
gnan
t wom
en
repo
rtin
g ha
ving
re
ceiv
ed IF
AS d
urin
g pr
egna
ncy
of th
eir l
ast
birt
h
Num
ber o
f wom
en
with
a li
ve b
irth
sa
mpl
ed in
the
surv
ey
Perc
enta
geCa
regi
vers
with
ch
ildre
n un
der t
wo
year
s thr
ough
KAP
, nu
triti
on S
MAR
T su
rvey
s
Bian
nual
ly
or E
very
th
ree
year
s
IFAS
is v
ery
criti
cal
duri
ng p
regn
ancy
Prop
ortio
n of
wom
en
taki
ng IF
AS d
urin
g pr
egna
ncy
Perc
enta
ge o
f wom
en
taki
ng IF
AS fo
r les
s th
an 9
0, 9
0-18
0, 1
81-
270,
mor
e th
an 2
70
days
dur
ing
preg
nanc
y of
thei
r las
t bir
th
# of
wom
en ta
king
IF
AS fo
r les
s tha
n 90
, 90
-180
, 181
-270
, m
ore
than
270
day
s du
ring
pre
gnan
cy o
f th
eir l
ast b
irth
Tota
l num
ber o
f w
omen
sam
pled
/ in
terv
iew
ed
Perc
enta
geCa
regi
vers
with
ch
ildre
n un
der t
wo
year
s thr
ough
KAP
, LQ
AS su
rvey
s
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 87
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Dat
a co
llect
ion
met
hods
Repo
rtin
gIn
terp
reta
tion
/co
mm
ents
Kno
wle
dge
Prop
ortio
n of
wom
en
who
can
cite
at l
east
2
bene
fits o
f tak
ing
IFAS
Perc
enta
ge o
f wom
en
who
can
cite
two
bene
fits o
f tak
ing
IFAS
Num
ber o
f wom
en
(15-
49 y
ears
) who
ca
n de
scri
be a
t lea
st 2
be
nefit
s of t
akin
g IF
AS
duri
ng p
regn
ancy
Num
ber o
f wom
en
15 to
49
year
sPe
rcen
tage
Care
give
rs w
ith
child
ren
unde
r tw
o ye
ars t
hrou
gh K
AP,
LQAS
surv
eys
Prop
ortio
n of
wom
en
who
repo
rt to
hav
e he
ard
or se
en IF
AS m
essa
ges
Perc
enta
ge o
f wom
en
who
repo
rt to
hav
e he
ard
or se
en m
essa
ges
on IF
AS
Num
ber o
f wom
en
who
repo
rt to
hav
e he
ard
or se
en a
ny
info
rmat
ion
on IF
AS
Num
ber o
f wom
en
sam
pled
Perc
enta
geCa
regi
vers
with
ch
ildre
n un
der t
wo
year
s thr
ough
KAP
, LQ
AS su
rvey
s
Prop
ortio
n of
wom
en
who
repo
rt o
f fro
ntlin
e w
orke
rs th
at p
rovi
de
coun
selli
ng o
n ov
erco
min
g ba
rrie
rs to
ut
iliza
tion
of IF
AS
Perc
enta
ge o
f wom
en
repo
rtin
g th
at fr
ontli
ne
heal
th w
orke
rs
prov
ided
them
with
co
unse
ling
on h
ow to
ov
erco
me
barr
iers
to
utili
zatio
n of
IFAS
Num
ber o
f wom
en
who
repo
rt o
f fro
ntlin
e w
orke
rs th
at p
rovi
de
coun
selli
ng o
n ov
erco
min
g ba
rrie
rs to
ut
iliza
tion
of IF
AS
Num
ber o
f wom
en
sam
pled
Perc
enta
geCa
regi
vers
with
ch
ildre
n un
der t
wo
year
s thr
ough
KAP
, LQ
AS su
rvey
s
Com
mod
ity
avai
labi
lity
Prop
ortio
n of
Hea
lth
faci
litie
s tha
t do
not h
ave
IFAS
Sto
ck o
uts
Perc
enta
ge o
f Hea
lth
faci
litie
s tha
t do
not
have
IFAS
Sto
ck o
uts
Num
ber
of h
ealth
fa
cilit
ies
that
do
not h
ave
IFAS
stoc
k ou
ts
Tota
l num
ber o
f hea
lth fa
cilit
ies
sam
pled
Perc
enta
geFr
ontli
ne h
ealth
ca
re p
rovi
ders
th
roug
h LQ
AS
surv
eys
Hum
an re
sour
cePr
opor
tion
of h
ealth
w
orke
rs p
rovi
ding
IFAS
Su
pple
men
tatio
n se
rvic
es
Perc
enta
ge o
f hea
lth
wor
kers
pro
vidi
ng
IFAS
Sup
plem
enta
tion
serv
ices
# of
hea
lth
wor
kers
pr
ovid
ing
IFAS
se
rvic
es
Tota
l num
ber o
f hea
lth w
orke
rs
sam
pled
/int
ervi
ewed
Perc
enta
geFr
ontli
ne h
ealth
ca
re p
rovi
ders
th
roug
h LQ
AS
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202288
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Dat
a co
llect
ion
met
hods
Repo
rtin
gIn
terp
reta
tion
/co
mm
ents
Prop
ortio
n of
hea
lth
wor
kers
pro
vidi
ng
IFAS
supp
lem
enta
tion
serv
ices
who
hav
e ev
er b
een
trai
ned
on
IFAS
supp
lem
enta
tion
guid
elin
es
Perc
enta
ge o
f hea
lth
wor
kers
pro
vidi
ng
IFAS
supp
lem
enta
tion
serv
ices
who
hav
e ev
er b
een
trai
ned
on
IFAS
supp
lem
enta
tion
guid
elin
es
# of
hea
lth
wor
kers
tr
aine
d on
IF
AS b
ased
on
MOH
cu
rric
ulum
Tota
l num
ber o
f fro
ntlin
e he
alth
care
wor
kers
sam
pled
/in
terv
iew
ed
Perc
enta
geFr
ontli
ne h
ealth
ca
re p
rovi
ders
th
roug
h LQ
AS
surv
eys
Prop
ortio
n of
hea
lth
faci
lity
staf
f in
plac
e ne
eded
to d
eliv
er IF
AS
serv
ices
#
of h
ealth
fa
cilit
y st
aff
deliv
erin
g IF
AS
serv
ices
Tota
l num
ber o
f hea
lth fa
cilit
y st
aff
Perc
enta
geFr
ontli
ne h
ealth
ca
re p
rovi
ders
th
roug
h LQ
AS
surv
eys
Geog
raph
ical
Cov
erag
ePr
opor
tion
of h
ealth
fa
cilit
ies o
fferi
ng IF
AS
Supp
lem
enta
tion
Perc
enta
ge o
f hea
lth
faci
litie
s offe
ring
IFAS
Se
rvic
es
# of
hea
lth
faci
litie
s of
feri
ng
IFAS
Tota
l num
ber o
f hea
lth
faci
litie
s sam
pled
/vis
ited
Perc
enta
geFr
ontli
ne h
ealth
ca
re p
rovi
ders
th
roug
h LQ
AS
surv
eys
Com
mun
ity
Serv
ice
Prop
ortio
n of
pre
gnan
t w
omen
who
hav
e be
en
refe
rred
to th
e AN
C fr
om
the
com
mun
ity
Prop
ortio
n of
pre
gnan
t w
omen
who
hav
e be
en
refe
rred
to th
e AN
C fr
om th
e co
mm
unity
# of
pr
egna
nt
wom
en
refe
rred
fo
r AN
C se
rvic
es b
y CH
Vs
Tota
l num
ber o
f wom
en
sam
pled
Perc
enta
geCa
re p
rovi
ders
w
ith ch
ildre
n le
ss
than
24
mon
ths
thro
ugh
LQAS
su
rvey
s, M
IYCN
KA
BP
Th
is in
dica
tor i
s to
asse
ss
cont
ribu
tion
of C
HS
to
ANC
serv
ices
Prop
ortio
n of
pre
gnan
t w
omen
att
endi
ng A
NC
early
(1st
trim
este
r)
Perc
enta
ge o
f pre
gnan
t w
omen
att
endi
ng A
NC
early
(1st
trim
este
r)
# of
pr
egna
nt
wom
en
atte
ndin
g AN
C se
rvic
es
in th
e fir
st
trim
este
r
Tota
l num
ber o
f pre
gnan
t w
omen
att
endi
ng A
NC
Perc
enta
geCa
re p
rovi
ders
w
ith ch
ildre
n le
ss
than
24
mon
ths
thro
ugh
LQAS
su
rvey
s
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 89
Indi
cato
rD
escr
ipti
onN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Dat
a co
llect
ion
met
hods
Repo
rtin
gIn
terp
reta
tion
/co
mm
ents
Prop
ortio
n of
Com
mun
ity
Volu
ntee
rs th
at a
re
trai
ned
on IF
AS
Perc
enta
ge o
f Co
mm
unity
Vol
unte
ers
that
are
trai
ned
on IF
AS
# of
co
mm
unity
he
alth
vo
lunt
eers
tr
aine
d on
IF
AS
Tota
l num
ber o
f com
mun
ity
heal
th v
olun
teer
sPe
rcen
tage
Com
mun
ity
heal
th v
olun
teer
s th
roug
h LQ
AS
surv
eys
Prop
ortio
n of
PLW
giv
en
fam
ily su
ppor
tPe
rcen
tage
of P
LW
give
n fa
mily
supp
ort
# of
PLW
re
port
ing
that
they
re
ceiv
ed
supp
ort
from
any
fa
mily
m
embe
r on
AN
C se
rvic
es
Tota
l num
ber o
f PLW
sam
pled
/in
terv
iew
edPe
rcen
tage
LQAS
, KAB
P
Vita
min
A s
uppl
emen
tati
on: I
ndic
ator
cal
cula
tion
of r
outi
ne
data
The
Dist
rict
Hea
lth In
form
atio
n So
ftwar
e (K
HIS
) is
used
mon
thly
to re
port
on
rout
ine
vita
min
A su
pple
men
tatio
n se
rvic
es (h
ttps
://h
iske
nya.
org)
. Vita
min
A
data
of c
hild
ren
6-59
mon
ths
is c
olle
cted
on
imm
uniz
atio
n ta
lly s
heet
(M
OH
702)
and
rep
orte
d on
imm
uniz
atio
n su
mm
ary
repo
rt to
ol (
MOH
710
) in
the
DHIS
agg
rega
ted
by a
ge a
nd o
rgan
izat
iona
l uni
t.
This
indi
cato
r is t
rack
ed o
n m
onth
ly b
asis
by
cum
ulat
ing t
he n
umbe
rs ac
hiev
ed
agai
nst t
he s
et s
emes
ter t
arge
t. Co
vera
ge is
com
pute
d on
sem
este
r bas
is i.
e. 6
m
onth
s’ in
terv
al (
Janu
ary
to Ju
ne a
nd Ju
ly t
o De
cem
ber
as fi
rst
and
seco
nd
sem
este
r res
pect
ivel
y). T
o co
mpu
te a
nnua
l cov
erag
e, th
e lo
wer
cove
rage
of t
he
two
sem
este
rs is
con
side
red.
Cal
cula
tion
of c
over
age
usin
g ro
utin
e da
ta p
er
sem
este
r
• Pr
opor
tion
of c
hild
ren
6-11
mon
ths
who
rec
eive
d on
e do
se o
f vita
min
A
(100
,000
IU) =
(Num
ber o
f chi
ldre
n 6-
11 m
onth
s su
pple
men
ted
with
one
do
se o
f Vita
min
A) /
(Tot
al n
umbe
r of c
hild
ren
aged
6-1
1 m
onth
s) X
100
• Pr
opor
tion
of c
hild
ren
12-5
9 m
onth
s w
ho re
ceiv
ed o
ne d
ose
of v
itam
in A
(2
00,0
00 IU
) = (N
umbe
r of c
hild
ren
12-5
9 m
onth
s sup
plem
ente
d w
ith o
ne
dose
of V
itam
in A
) / (T
otal
num
ber o
f chi
ldre
n ag
ed 1
2-59
mon
ths)
X 1
00
• Pr
opor
tion
of c
hild
ren
6-59
mon
ths
who
rec
eive
d on
e do
se o
f vita
min
A
(age
app
ropr
iate
) = (N
umbe
r of c
hild
ren
6-59
mon
ths s
uppl
emen
ted
with
on
e do
se o
f age
app
ropr
iate
Vita
min
A) /
(Tot
al n
umbe
r of
chi
ldre
n ag
ed
6-59
mon
ths)
X 1
00
Indi
cato
rs to
ass
ess
for
vita
min
A s
uppl
emen
tati
on in
po
pula
tion
-bas
ed s
urve
ys
Indi
cato
rs t
o as
sess
vita
min
sup
plem
enta
tion
shou
ld c
over
the
fol
low
ing
com
pone
nts:
ava
ilabi
lity
of v
itam
in A
sup
plem
ents
, av
aila
bilit
y of
hum
an
reso
urce
e.g
. whe
ther
the
re a
re a
dequ
atel
y tr
aine
d he
alth
wor
kers
/hea
lth
wor
kfor
ce to
adm
inis
ter v
itam
in A
supp
lem
ents
, acc
ess,
cove
rage
and u
tiliz
atio
n of
vita
min
A s
ervi
ces.
The
key
indi
cato
rs fo
r vi
tam
in A
sup
plem
enta
tion
are
pres
ente
d in
Tab
le 2
5.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202290
Anne
x 2.
4 Ke
y In
dica
tors
for V
AS
Indi
cato
rD
escr
ipti
onD
ata
colle
ctio
n m
etho
dsN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Repo
rtin
gIn
terp
reta
tion
/ co
mm
ents
Uti
lizat
ion
Prop
ortio
n of
child
ren
6-59
mon
ths
cove
red
with
ag
e ap
prop
riat
e do
ses o
f Vita
min
A
supp
lem
enta
tion
with
in o
ne y
ear.
Perc
enta
ge o
f Chi
ldre
n ag
ed 6
-11
mon
ths w
ho
rece
ived
one
dos
e of
vi
tam
in A
and
thos
e ag
ed 1
2-59
mon
ths w
ho
rece
ived
two
dose
s of
vita
min
A su
pple
men
t w
ithin
one
yea
r.
DHIS
Num
ber o
f chi
ldre
n su
pple
men
ted
with
ag
e ap
prop
riat
e do
ses o
f Vita
min
A
with
in o
ne y
ear i
n th
e ro
utin
e
Tota
l num
ber o
f ch
ildre
n ag
ed 6
-11
and
12-5
9 m
onth
s in
the
catc
hmen
t ar
ea
Perc
enta
geDa
ta a
re re
port
ed
mon
thly
from
the
serv
ice
deliv
ery
units
to th
e su
b-co
unty
for e
ntry
. On
ce e
nter
ed, t
he
data
are
ava
ilabl
e at
al
l lev
els
All p
lace
s i.e
. Co
untie
s, Su
b co
untie
s with
a
two
dose
cove
rage
es
timat
e of
≥80
%
will
be
cons
ider
ed
as h
avin
g ac
hiev
ed
the
targ
et.
SMAR
T LQ
AS
Num
ber o
f chi
ldre
n su
pple
men
ted
with
ag
e ap
prop
riat
e do
ses o
f Vita
min
A
with
in o
ne y
ear i
n th
e su
rvey
Tota
l num
ber o
f ch
ildre
n ag
ed 6
-11,
12
-59
and
6-59
m
onth
s in
the
surv
ey
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d.
Prop
ortio
n of
Ch
ildre
n ag
ed
6-11
mon
ths w
ho
rece
ived
one
dos
e of
100
,000
IU
vita
min
A
Perc
enta
ge o
f Chi
ldre
n ag
ed 6
-11
mon
ths w
ho
rece
ived
one
dos
e of
10
0,00
0 IU
vita
min
A
LQAS
/ In
tegr
ated
N
utri
tion
SMAR
T su
rvey
Num
ber o
f chi
ldre
n ag
ed 6
-11
mon
ths
supp
lem
ente
d
with
in th
e su
rvey
Tota
l num
ber o
f ch
ildre
n ag
ed 6
-11
in th
e su
rvey
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Prop
ortio
n of
ch
ildre
n 12
-59
mon
ths
who
re
ceiv
ed tw
o do
ses
of V
AS w
ithin
n y
ear
% o
f chi
ldre
n ag
ed 1
2-59
mon
ths w
ho re
ceiv
ed
two
dose
s of v
itam
in A
su
pple
men
t with
in o
ne
year
.
LQAS
/ In
tegr
ated
N
utri
tion
SMAR
T su
rvey
/MoH
216
# o
f chi
ldre
n 12
-59
mon
ths w
ho
rece
ived
two
dose
s of
VAS
with
in o
ne
year
Tota
l num
ber o
f ch
ildre
n ag
ed 1
2-59
mon
ths i
n th
e su
rvey
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Prop
ortio
n of
Ch
ildre
n ag
ed
6-59
mon
ths w
ho
rece
ived
one
dos
e of
vita
min
A
Perc
enta
ge o
f Chi
ldre
n ag
ed 6
-59
mon
ths w
ho
rece
ived
one
dos
e of
vi
tam
in A
LQAS
/ In
tegr
ated
N
utri
tion
SMAR
T su
rvey
Num
ber o
f chi
ldre
n ag
ed 6
-59
mon
ths
supp
lem
ente
d
with
in th
e su
rvey
Tota
l num
ber o
f ch
ildre
n ag
ed 6
-59
in th
e su
rvey
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 91
Indi
cato
rD
escr
ipti
onD
ata
colle
ctio
n m
etho
dsN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Repo
rtin
gIn
terp
reta
tion
/ co
mm
ents
Kno
wle
dge
Prop
ortio
n of
ca
regi
vers
who
can
give
at l
east
two
bene
fits o
f VAS
% o
f car
egiv
ers (
with
ch
ildre
n) w
ho c
an ci
te a
t le
ast t
wo
bene
fits o
f VAS
at
the
time
of su
rvey
KPC/
LQAS
/ In
tegr
ated
Nut
ritio
n SM
ART
surv
ey
# of
care
give
rs w
ho
can
cite
at l
east
two
bene
fits o
f VAS
at
the
time
of su
rvey
Tota
l nu
mbe
r of
car
egiv
ers
with
child
ren
inte
rvie
wed
/sa
mpl
ed
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Com
mod
ity
ava
ilabi
lity
Prop
ortio
n of
H
ealth
faci
litie
s tha
t re
port
s to
hav
e
VAS
stoc
k ou
ts
Num
ber o
f Hea
lth fa
cilit
ies
that
repo
rts t
o ha
ve st
ock
outs
for t
he p
ast o
ne y
ear
LQAS
/DH
IS#
of H
F th
at h
ave
repo
rted
stoc
k ou
ts
in th
e pa
st o
ne y
ear
All f
acili
ties t
hat
have
repo
rted
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Hum
an R
esou
rce
Prop
ortio
n of
he
alth
wor
kers
pr
ovid
ing
VAS
at
serv
ice
deliv
ery
poin
ts
Prop
ortio
n of
hea
lth
wor
kers
pro
vidi
ng V
AS
serv
ices
LQAS
# of
hea
lth w
orke
rs
prov
idin
g VA
S se
rvic
es
Tota
l num
ber o
f he
alth
wor
kers
w
orki
ng a
t VAS
se
rvic
e de
liver
y po
ints
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Prop
ortio
n of
HW
pr
ovid
ing
VAS
serv
ices
who
hav
e ev
er b
een
trai
ned
on V
AS g
uide
lines
% o
f H
W p
rovi
ding
VAS
se
rvic
es w
ho h
ave
ever
be
en tr
aine
d on
VAS
gu
idel
ines
LQAS
# of
HW
pro
vidi
ng
VAS
serv
ices
who
ha
ve e
ver b
een
trai
ned
on V
AS
guid
elin
es
Tota
l num
ber o
f H
W p
rovi
ding
VAS
se
rvic
es
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Prop
ortio
n of
he
alth
faci
litie
s st
aff i
n pl
ace
to
deliv
er V
AS se
rvic
es
# of
staf
f del
iver
ing
VAS
serv
ices
LQAS
# of
staf
f in
plac
e de
liver
ing
VAS
serv
ices
Tota
l num
ber o
f he
alth
faci
litie
s’
staf
f
Perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202292
Indi
cato
rD
escr
ipti
onD
ata
colle
ctio
n m
etho
dsN
umer
ator
Den
omin
ator
Uni
t of
mea
sure
Repo
rtin
gIn
terp
reta
tion
/ co
mm
ents
Geog
raph
ical
Cov
erag
e Pr
opor
tion
of
Hea
lth F
acili
ties
offe
ring
VAS
# of
HF
offe
ring
VAS
LQAS
Tota
l no.
of h
ealth
fa
cilit
ies o
fferi
ng
VAS
serv
ices
Tota
l num
ber o
f he
alth
faci
litie
s vi
site
d
perc
enta
geDa
ta is
Rep
orte
d ev
ery
time
a su
rvey
is
cond
ucte
d
Prop
ortio
n
of ch
ildre
n su
pple
men
ted
in
ECD
Num
ber o
f chi
ldre
n su
pple
men
ted
in E
CD
Num
ber o
f chi
ldre
n su
pple
men
ted
in
ECD
Tota
l num
ber o
f ch
ildre
n el
igib
le fo
r VA
S in
ECD
perc
enta
gePr
ogra
mm
es re
port
s
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 93
Anne
x 2.
5 In
dica
tors
for
Mot
her
Infa
nt a
nd Y
oung
chi
ld fe
edin
g pr
acti
ces
(MIY
CN)
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Perc
enta
ge o
f las
t-bo
rn ch
ildre
n ag
e 0–
23 m
onth
s who
w
ere
put t
o th
e br
east
with
in 1
ho
ur o
f del
iver
y
Early
in
itiat
ion
of
brea
stfe
edin
g
Prac
tice
Num
ber o
f las
t-bo
rn ch
ildre
n ag
e 0–
23 m
onth
s who
w
ere
put t
o th
e br
east
with
in 1
ho
ur o
f del
iver
y
Tota
l num
ber
of la
st-b
orn
child
ren
age
0–23
mon
ths i
n th
e su
rvey
Core
Pe
rcen
tage
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
uriti
on
surv
eys
Disa
ggre
gatio
n: It
is
reco
mm
ende
d th
at th
is
indi
cato
r be
furt
her
disa
ggre
gate
d an
d re
port
ed fo
r (i)
live
bir
ths o
f chi
ldre
n 0-
11
mon
ths;
and
(ii)
live
birt
hs
of ch
ildre
n 12
-23
mon
ths,
if sa
mpl
e si
ze p
erm
itsPr
opor
tion
of
care
give
rs o
f ch
ildre
n 0-
23
mon
ths w
ho k
now
at
leas
t tw
o be
nefit
s of
Ear
ly In
itiat
ion
of
brea
stfe
edin
g
Know
ledg
e N
umbe
r of
care
give
rs w
ho
know
at l
east
2
bene
fits o
f ear
ly
initi
atio
n
Num
ber o
f ca
regi
vers
with
ch
ildre
n 0-
23
mon
ths
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Perc
enta
ge o
f in
fant
s 0–5
mon
ths
of a
ge w
ho a
re fe
d ex
clus
ivel
y w
ith
brea
st m
ilk
Excl
usiv
e br
east
feed
ing
unde
r 6
mon
ths
Prac
tice
Infa
nts 0
–5
mon
ths o
f age
w
ho re
ceiv
ed
only
bre
ast
milk
dur
ing
the
prev
ious
day
Infa
nts 0
–5
mon
ths o
f age
Core
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Excl
usiv
e br
east
feed
ing
mea
ns
that
the
infa
nt re
ceiv
ed b
reas
t m
ilk (i
nclu
ding
milk
exp
ress
ed
or fr
om a
wet
nur
se) a
nd m
ight
ha
ve re
ceiv
ed o
ral r
ehyd
ratio
n so
lutio
n (O
RS),
vita
min
s, m
iner
als,
and/
or m
edic
ines
, but
di
d no
t rec
eive
any
oth
er fo
od
or li
quid
. The
indi
cato
r is b
ased
on
reca
ll of
the
prev
ious
day
for
all l
ivin
g in
fant
s 0-5
mon
ths.
Disa
ggre
gatio
n: It
is
reco
mm
ende
d th
at th
e in
dica
tor b
e fu
rthe
r di
sagg
rega
ted
and
repo
rted
for
the
follo
win
g ag
e gr
oups
: 0-1
m
onth
, 2-3
mon
ths,
4-5
mon
ths
and
0-3
mon
ths,
if sa
mpl
e si
ze
perm
its.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202294
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Prop
ortio
n of
care
give
rs
with
child
ren
0-23
mon
ths w
ho
know
at l
east
two
bene
fits o
f exc
lusi
ve
brea
stfe
edin
g
Know
ledg
e N
umbe
r of
care
give
rs
with
child
ren
0-23
mon
ths
who
kno
w a
t le
ast 2
ben
efits
of
exc
lusi
ve
brea
stfe
edin
g
Num
ber o
f ca
regi
vers
w
ith ch
ildre
n 0-
23m
onth
s of
age
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Prop
ortio
n of
ch
ildre
n bo
rn in
the
last
24
mon
ths w
ho
wer
e ev
er b
reas
tfed
Child
ren
ever
br
east
fed
Prac
tice
Child
ren
born
in
the
last
24
mon
ths w
ho w
ere
ever
bre
astfe
d
Child
ren
born
in
the
last
24
mon
ths
asse
ssed
Addi
tiona
l Pe
rcen
tage
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Disa
ggre
gatio
n: It
is
reco
mm
ende
d th
at th
e in
dica
tor b
e fu
rthe
r di
sagg
rega
ted
and
repo
rted
fo
r (i)
live
birt
hs o
ccur
ring
in
the
last
12
mon
ths;
and
(ii)
live
birt
hs o
ccur
ring
bet
wee
n th
e la
st 1
2 an
d 24
mon
ths,
if sa
mpl
e si
ze p
erm
itsPe
rcen
tage
of
child
ren
12–1
5 m
onth
s of a
ge w
ho
are
fed
brea
st m
ilk
Cont
inue
d br
east
feed
ing
at 1
yea
r
Addi
tiona
l
Child
ren
12–1
5 m
onth
s of a
ge
who
rece
ived
br
east
milk
du
ring
the
prev
ious
day
Child
ren
12–1
5 m
onth
s of a
gePo
pula
tion
leve
l su
rvey
s
The
indi
cato
r has
a re
lativ
ely
narr
ow a
ge ra
nge
of 4
mon
ths,
estim
ates
from
surv
eys w
ith
smal
l sam
ple
size
s are
like
ly to
ha
ve w
ide
conf
iden
ce in
terv
als.
This
indi
cato
r inc
lude
s br
east
feed
ing
by a
wet
nur
se
and
feed
ing
expr
esse
d m
ilk. T
he
infa
nt ca
n re
ceiv
e br
east
milk
ei
ther
by
brea
stfe
edin
g or
an
othe
r mea
ns.
Perc
enta
ge o
f ch
ildre
n 20
–23
mon
ths o
f age
who
ar
e fe
d br
east
milk
Cont
inue
d br
east
feed
ing
at 2
yea
rs
(Cor
e)
Prac
tice
Child
ren
20–2
3 m
onth
s of a
ge
who
rece
ived
br
east
milk
du
ring
the
prev
ious
day
Child
ren
20–2
3 m
onth
s of a
geCo
re
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 95
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Prop
ortio
n of
ca
regi
vers
of
child
ren
0–23
m
onth
s who
are
aw
are
that
a ch
ild
shou
ld co
ntin
ue
brea
stfe
edin
g to
tw
o ye
ars a
nd
beyo
nd
Know
ledg
e N
umbe
r of
care
give
rs w
ho
know
at l
east
tw
o be
nefit
s of
cont
inue
d br
east
feed
ing
to
two
year
s and
be
yond
Num
ber o
f ca
regi
vers
with
ch
ildre
n 0-
23
mon
ths o
f age
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Perc
enta
ge o
f in
fant
s 6–8
mon
ths
of a
ge w
ho re
ceiv
e so
lid, s
emi-s
olid
, or
soft
food
s
Intr
oduc
tion
of so
lid, s
emi-
solid
, or
soft
food
s—
child
ren
(Cor
e)
Infa
nts 6
–8
mon
ths o
f age
w
ho re
ceiv
e so
lid,
sem
i-sol
id, o
r sof
t fo
ods d
urin
g th
e pr
evio
us d
ay
Infa
nts 6
–8
mon
ths o
f age
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Prop
ortio
n of
ca
regi
vers
with
ch
ildre
n 6-
23
who
kno
w th
e ap
prop
riat
e tim
e of
intr
oduc
tion
of
solid
, sem
i-sol
id, o
r so
ft fo
ods
Num
ber o
f ca
regi
vers
with
ch
ildre
n 6-
23
who
kno
w th
e ap
prop
riat
e tim
e of
intr
oduc
tion
of
solid
, sem
i-sol
id,
or so
ft fo
ods
Num
ber o
f m
othe
rs w
ith
child
ren
6-23
m
onth
s of a
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Perc
enta
ge o
f ch
ildre
n 6–
23
mon
ths o
f age
who
re
ceiv
ed a
n ir
on-
rich
food
in th
e la
st
24 h
ours
Cons
umpt
ion
of ir
on-r
ich
food
s
Prac
tice
Child
ren
6–23
m
onth
s of a
ge
who
rece
ived
an
iron
-ric
h fo
od
duri
ng th
e la
st 2
4 ho
urs
Child
ren
6–23
m
onth
s of a
geCo
re
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Not
es: S
uita
ble
iron
-ric
h or
ir
on-fo
rtifi
ed fo
ods i
nclu
de
flesh
food
s, co
mm
erci
ally
fo
rtifi
ed fo
ods s
peci
ally
de
sign
ed fo
r inf
ants
and
you
ng
child
ren
whi
ch co
ntai
n ir
on,
or fo
ods f
ortif
ied
in th
e ho
me
with
a m
icro
nutr
ient
pow
der
cont
aini
ng ir
on o
r a li
pid-
base
d nu
trie
nt su
pple
men
t con
tain
ing
iron
.Di
sagg
rega
tion:
It is
re
com
men
ded
that
the
indi
cato
r be
furt
her
disa
ggre
gate
d an
d re
port
ed fo
r th
e fo
llow
ing
age
grou
ps: 6
-11
mon
ths,
12-1
7 m
onth
s and
18
-23
mon
ths,
if sa
mpl
e si
ze
perm
its.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202296
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Prop
ortio
n of
ca
regi
vers
with
ch
ildre
n 6-
23
mon
ths w
ho ca
n na
me
at le
ast t
wo
food
sour
ces o
f iro
n
Know
ledg
e Pr
opor
tion
of
care
give
rs w
ith
child
ren
6-23
m
onth
s who
can
nam
e at
leas
t tw
o fo
od so
urce
s of
iron
Num
ber o
f ca
regi
vers
with
Ch
ildre
n 6–
23
mon
ths o
f age
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Prop
ortio
n of
br
east
fed
and
non-
br
east
fed
child
ren
6–23
mon
ths o
f ag
e w
ho re
ceiv
ed
solid
, sem
i-sol
id, o
r so
ft fo
ods (
but a
lso
incl
udin
g m
ilk fe
eds
for n
on-b
reas
tfed
child
ren)
the
min
imum
num
ber
of ti
mes
or m
ore
Min
imum
m
eal
freq
uenc
y—ch
ildre
nPr
actic
e
Brea
stfe
d ch
ildre
n 6-
23
mon
ths w
ho
rece
ived
solid
, se
mi-s
olid
or
soft
food
s the
m
inim
um n
umbe
r of
tim
es o
r m
ore
duri
ng th
e pr
evio
us d
ay
Brea
stfe
d ch
ildre
n 6-
23
mon
ths o
ld
Core
Pe
rcen
tage
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Not
e; ‘M
eals
’ inc
lude
bot
h m
eals
and
snac
ks (o
ther
than
tr
ivia
l am
ount
s), a
nd fr
eque
ncy
is b
ased
on
care
give
r rep
ort
Min
imum
is d
efin
ed a
s:2
times
for b
reas
tfed
infa
nts
6–8
mon
ths
3 tim
es fo
r bre
astfe
d ch
ildre
n 9–
23 m
onth
s4
times
for n
on-b
reas
tfed
child
ren
6–23
mon
ths
Disa
ggre
gatio
n: It
is
reco
mm
ende
d th
at th
e in
dica
tor b
e fu
rthe
r di
sagg
rega
ted
and
repo
rted
fo
r the
follo
win
g ag
e gr
oups
: 6-
11 m
onth
s, 12
-17
mon
ths,
and
18-2
3 m
onth
s, if
sam
ple
size
per
mits
. Res
ults
may
als
o be
repo
rted
sepa
rate
ly fo
r br
east
fed
and
non-
brea
stfe
d ch
ildre
n.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 97
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Perc
enta
ge o
f ch
ildre
n 6–
23
mon
ths o
f age
who
re
ceiv
e fo
ods f
rom
fiv
e o
r mor
e fo
od
grou
ps
Min
imum
di
etar
y di
vers
ity—
child
ren
(Cor
e)
Child
ren
6–23
m
onth
s of a
ge
who
rece
ived
fo
ods f
rom
≥
five
food
gro
ups
duri
ng th
e pr
evio
us d
ay
Child
ren
6–23
m
onth
s of a
gePe
rcen
tage
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Min
imum
die
tary
div
ersi
ty fo
r br
east
fed
child
ren
6–23
mon
ths
is d
efin
ed a
s fiv
e or
mor
e fo
ods
from
the
follo
win
g ei
ght f
ood
grou
ps
Whe
n sa
mpl
e si
zes a
llow
, di
sagg
rega
ted
data
shou
ld
be p
rese
nted
by
sex,
age
an
d br
east
feed
ing
stat
us.
Reco
mm
ende
d ag
e gr
oups
for
repo
rtin
g ar
e 6–
11 m
onth
s, 12
–17
mon
ths a
nd 1
8–23
m
onth
s of a
ge. I
t may
als
o be
us
eful
to d
isag
greg
ate
by p
lace
of
resi
denc
e, so
cioe
cono
mic
st
atus
(e.g
., wea
lth q
uint
ile),
and
mat
erna
l edu
catio
n8
FOOD
GRO
UPS
IN M
DD1.
Bre
ast m
ilk2.
Gra
ins,
whi
te ro
ots a
nd
tube
rs, a
nd p
lant
ains
3. L
egum
es a
nd N
uts
4. D
airy
5. F
lesh
food
s (m
eat,
fish,
po
ultr
y an
d liv
er/o
rgan
mea
ts)
6. E
ggs
7. V
itam
in A
-ric
h fr
uits
and
ve
geta
bles
8. O
ther
frui
ts a
nd v
eget
able
sPr
opor
tion
of
care
give
rs w
ho
can
nam
e at
leas
t fo
ur fo
od g
roup
s fo
r chi
ldre
n 6-
23
mon
ths o
f age
Num
ber o
f ca
regi
vers
who
ca
n na
me
at le
ast
four
food
gro
ups
for c
hild
ren
6-23
m
onth
s of a
ge
Num
ber o
f ca
regi
vers
with
ch
ildre
n 6-
23
mon
ths o
f age
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 202298
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Prop
ortio
n of
ch
ildre
n 6–
23
mon
ths o
f age
who
re
ceiv
ed a
min
imum
ac
cept
able
die
t (a
part
from
bre
ast
milk
)
Min
imum
ac
cept
able
di
et –
child
ren
Brea
stfe
d ch
ildre
n 6–
23
mon
ths o
f age
w
ho h
ad a
t lea
st
the
min
imum
di
etar
y di
vers
ity
and
the
min
imum
m
eal f
requ
ency
du
ring
the
prev
ious
day
Brea
stfe
d ch
ildre
n 6–
23
mon
ths o
f age
Core
Pe
rcen
tage
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Disa
ggre
gatio
n: It
is
reco
mm
ende
d th
at th
e in
dica
tor b
e fu
rthe
r di
sagg
rega
ted
and
repo
rted
for
the
follo
win
g ag
e gr
oups
: 6-1
1 m
onth
s, 12
-17
mon
ths,
and
18-2
3 m
onth
s, if
sam
ple
size
pe
rmits
.
Non
-bre
astfe
d ch
ildre
n 6–
23
mon
ths o
f age
w
ho h
ad a
t lea
st
two
milk
feed
ings
an
d ha
ve a
t lea
st
the
min
imum
di
etar
y di
vers
ity
not i
nclu
ding
milk
fe
eds a
nd th
e m
inim
um m
eal
freq
uenc
y du
ring
th
e pr
evio
us d
ay
Non
-bre
astfe
d ch
ildre
n 6–
23
mon
ths o
f age
Perc
enta
ge
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Prop
ortio
n of
ca
regi
vers
of
child
ren
6-23
m
onth
s of a
ge w
ho
know
the
min
imum
nu
mbe
r of t
imes
th
eir c
hild
ren
shou
ld b
e gi
ven
mea
ls in
a d
ay
Num
ber o
f ca
regi
vers
of
child
ren
6-23
m
onth
s of a
ge
who
kno
w th
e m
inim
um n
umbe
r of
tim
es th
eir
child
ren
shou
ld
be g
iven
mea
ls in
a
day
Num
ber o
f ca
regi
vers
with
ch
ildre
n 6-
23
mon
ths o
f age
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 99
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Perc
enta
ge o
f las
t-bo
rn ch
ildre
n ag
e 0–
23 m
onth
s who
w
ere
fed
colo
stru
m
Feed
ing
colo
stru
m
(Add
ition
al)
Num
ber o
f las
t-bo
rn ch
ildre
n ag
e 0–
23 m
onth
s w
ho w
ere
fed
colo
stru
m
Tota
l num
ber
of la
st-b
orn
child
ren
age
0–23
mon
ths i
n th
e su
rvey
Addi
tiona
l Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Perc
enta
ge o
f m
othe
rs o
f chi
ldre
n ag
e 0–
23 m
onth
s w
ho k
now
at l
east
on
e be
nefit
of
feed
ing
baby
on
colo
stru
m
Num
ber o
f m
othe
rs o
f ch
ildre
n 0–
23
mon
ths w
ho
know
at l
east
on
e be
nefit
of
feed
ing
baby
on
colo
stru
m
Tota
l num
ber
of m
othe
rs o
f ch
ildre
n ag
e 0–
23 m
onth
s in
the
surv
ey
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Perc
enta
ge o
f sic
k ch
ildre
n ag
es 0
-23
mon
ths i
n th
e 2
wee
ks p
rece
ding
th
e su
rvey
who
w
ere
offe
red
mor
e th
an u
sual
to d
rink
(in
clud
ing
brea
st
milk
)
Appr
opri
ate
Sick
Chi
ld
Care
Num
ber o
f ch
ildre
n ag
es
0–23
mon
ths
who
wer
e of
fere
d m
ore
than
us
ual t
o dr
ink
(incl
udin
g br
east
m
ilk)
Num
ber o
f ch
ildre
n ag
es
0–23
mon
ths
who
wer
e si
ck
in th
e 2
wee
ks
prec
edin
g th
e su
rvey
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Perc
enta
ge
of m
othe
rs o
f ch
ildre
n ag
e 0–
23
mon
ths w
ho w
hile
pr
egna
nt w
ith th
eir
youn
gest
child
w
ere
coun
sele
d on
nu
triti
on d
urin
g pr
egna
ncy
Nut
ritio
n co
unse
ling
duri
ng
preg
nanc
y
Num
ber o
f m
othe
rs o
f ch
ildre
n ag
e 0–
23
mon
ths w
ho
whi
le p
regn
ant
with
thei
r yo
unge
st ch
ild
wer
e co
unse
led
on n
utri
tion
duri
ng p
regn
ancy
Tota
l num
ber
of m
othe
rs o
f ch
ildre
n ag
e 0–
23 m
onth
s in
the
surv
ey
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022100
Indi
cato
rD
escr
ipti
on
Num
erat
orD
enom
inat
orCo
re o
r ad
diti
onal
in
dica
tors
Uni
t of
Mea
sure
Dat
a Co
llect
ion
Met
hod
Repo
rtin
gCo
mm
ents
Prop
ortio
n of
wom
en o
f re
prod
uctiv
e ag
e (1
5-49
) who
ar
e co
nsum
ing
a m
inim
um d
ieta
ry
dive
rsity
Min
imum
Di
etar
y Di
vers
ity—
Wom
en
(cor
e)
Wom
en o
f re
prod
uctiv
e ag
e (1
5–49
) co
nsum
ing
at
leas
t fiv
e of
the
ten
MDD
-W fo
od
grou
ps
Wom
en o
f re
prod
uctiv
e ag
e
Core
Po
pula
tion
leve
l su
rvey
s
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Inte
grat
ed S
MAR
T su
rvey
s
10 F
OOD
GROU
PS IN
MDD
-W1.
Gra
ins,
whi
te ro
ots a
nd
tube
rs, a
nd p
lant
ains
2. P
ulse
s (be
ans,
peas
and
le
ntils
)3.
Nut
s and
seed
s4.
Dai
ry5.
Mea
t, po
ultr
y an
d fis
h6.
Egg
s7.
Dar
k gr
een
leaf
y ve
geta
bles
8. V
itam
in A
-ric
h fr
uits
ve
geta
bles
, roo
ts a
nd tu
bers
9. O
ther
veg
etab
les
10. O
ther
frui
tsPr
opor
tion
of
child
ren
0-23
m
onth
s old
who
w
ere
fed
with
a
bott
le d
urin
g th
e pr
evio
us d
ay
Bott
le fe
edin
g Pr
actic
e Ch
ildre
n 0-
23
mon
ths o
ld w
ho
wer
e fe
d w
ith a
bo
ttle
dur
ing
the
prev
ious
day
Child
ren
0-23
m
onth
sCo
re
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Ever
y 5
year
s: K
DHS
Othe
r int
egra
ted
heal
th a
nd n
utri
tion
surv
eys
Not
e: W
e in
clud
e ch
ildre
n le
ss
than
23
mon
ths w
ho re
ceiv
ed
any
food
or d
rink
from
a
bott
le w
ith a
nip
ple/
teat
Cup
w
ith sp
out o
r bot
tle w
ith
spoo
ns d
urin
g th
e pr
evio
us
day
(incl
udin
g br
east
milk
), re
gard
less
of w
heth
er o
r not
th
e in
fant
was
bre
astfe
d.Di
sagg
rega
tion:
It is
re
com
men
ded
that
the
indi
cato
r be
furt
her
disa
ggre
gate
d an
d re
port
edfo
r the
follo
win
g ag
e gr
oups
: 0-
5 m
onth
s, 6-
11 m
onth
s, an
d 12
-23
mon
ths,
if sa
mpl
e si
ze
perm
itsPr
opor
tion
of
care
give
rs w
ith
child
ren
0-23
m
onth
s of a
ge w
ho
know
at l
east
two
cons
eque
nces
of
bott
le fe
edin
g
Prop
ortio
n of
ca
regi
vers
who
kn
ow a
t lea
st tw
o co
nseq
uenc
es o
f bo
ttle
feed
ing
Num
ber o
f ca
regi
vers
with
ch
ildre
n 0
to 2
3 m
onth
s
Popu
latio
n le
vel
surv
eys
Ever
y tw
o ye
ars –
M
IYCN
KAP
surv
eys
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 101
Annex 2.6 Nutrition commodities and supply chain management
Indicator Numerator/denominator
Measurement/calculation
Source documents Frequency of data collection
Proportion of CHVs trained on nutrition packages (module 8)
# of CHVs trained on nutrition packages Total # of CHVs
# of CHVs trained on nutrition packages dived by Total # of CHVs multiplied by 100
CHS reports and capacity assessment reports
Yearly
Proportion of counties with a budget line for nutrition commodities and equipment
# of counties with a budget line for nutrition commodities and equipment Total # of counties
# of counties with a budget line for nutrition commodities and equipment divided by total # of counties multiplied by 100
County Budgets Yearly
Proportion of counties with drawing rights at KEMSA for nutrition commodities and equipment
Proportion of counties with drawing rights at KEMSA for nutrition commodities and equipment Total # of counties
# of counties with drawing rights at KEMSA for nutrition commodities and equipment divided by total # of counties multiplied by 100
Procurement and distribution reports from KEMSA
Quarterly/Yearly
Proportion of annual nutrition commodity needs met
# of annual nutrition commodity needs met Total number commodity needs
# of annual nutrition commodity needs met dived by total number commodity needs multiplied by 100
Distribution reports Monthly
Proportion of counties with Nutrition LMIS and inventory Management training conducted
# of counties with Nutrition LMIS and inventory Management training conducted Total number of counties
# of counties with Nutrition LMIS and inventory Management training conducted divided by Total number of counties multiplied by 100
Training reports Yearly
Proportion of Nutrition commodities and equipment meeting minimum quality and safety standards
# of Nutrition commodities and equipment meeting minimum quality & safety standards Total of Nutrition commodities & equipment
# of Nutrition commodities and equipment meeting minimum quality & safety standards dived by Total of Nutrition commodities & equipment multiplied by 100
Certificates of Analysis
Yearly
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022102
Annex 3 Good Practice TemplateDefinition: Good practices are well documented and assessed programming practices that provide evidence of success/impact and which are valuable for replication, scaling up and further study. The practice should have a formal evaluation and evidence of an adoption-diffusion process (piloting/scaling up). The practice should have been replicated in more than one site and generally in different contexts (economic, cultural, partners, etc).
Instructions for use: Fill in the following fields with your information. Guidance is provided for the major sections in Italic. Either enter text directly or copy and paste from another document.
Category: Good practiceCountry: your text hereTitle: your text hereRelated links: Please provide links to related study, report, evaluation, website that may provide additional
information on the good practice. Contact person: Please provide the name, title and e-mail address of a person who can be contacted for any
questions regarding this good practice. Issue (Background):
Briefly (1-2 paragraphs) describe the initial situation (context) and the problem/ issue which prompted the implementation of this good practice.
Strategy and Implementation:
Describe in 2-3 paragraphs the strategy and its implementation. This should link to the issue outlined above and highlight the main points of the strategy implemented. Strategies could be regarding to advocacy, participation, gender equity, ownership, capacity building, coordination and partnerships, monitoring and evaluation and replication/scaling up.
Progress and Results:
In summary (1-2 paragraphs), describe the progress and results validated through evaluations or formal review process. The results can be classified at output, outcome and impact level. Provide quantitative and or qualitative evidence for different aspects (e.g. relevance, effectiveness, efficacity, replicability, sustainability) that are the basis of the good practice. Please also describe factors that enabled or hindered progress (challenges).
Good Practice: Please provide 1-2 short paragraphs to describe in summary good practice(s) in the field. This should leave the reader with an overall picture of the practices(s), why they are useful and evidence of value they add to programming.
Potential application:
Please describe briefly the potential application of this practice to programming beyond the original context. Are there potential applications nationally, regionally, in emergency situations, etc.? What are the issues that need to be considered?
Next steps: Describe (1paragraphs) any planned next steps in implementation or any challenges in strategy as a result of this good practice to date.
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 103
Annex 4 Research Proposal Guide Technical Working Group
Content Guidance
Title page • Research title: clear and concise, should reflect the focus of the study and number of words should not be too many.
• Names and titles of principal investigators and affiliated institutions• Logos of institutions
Table of contents Updated and include key contents of the chapters.
Introduction • Background to the study problem,• Problem statement,• Justification of the study,• Research questions,• Hypothesis,• Broad and specific objectives
Literature review Global, regional and specific aspects on existing evidence. Conceptual framework
Methodology • Study area,• Study population,• Study design• Sample size determination• Sampling techniques,• Study variables,• Data collection techniques,• Data processing and analysis,• limitations and delimitations,• Operational definition of terms.• Ethical considerations.
Annex/additional • Reference• Work plan• Budget
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022104
Annex 5 Monitoring and Evaluation products and Feedback mechanisms
Report
Purpose Description of the M&E Product
Frequency of Production
Dissemination/ Feedback
Target Audience Responsible Institution
Quarterly report
Bi-annual report
Annual reports
Mid-term reports
End-Term reports
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 105
Annex 6: Formats for presenting reports for Annual work Plans
RESULT AREA/COHORT
OUTPUT PROGRESS COMMENTS
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022106
Anne
x 7:
Det
aile
d co
st o
f Mon
itor
ing
and
Eval
uati
on F
ram
ewor
k Se
ctor
al a
nd M
ulti
-sec
tora
l Nut
riti
on In
form
atio
n Sy
stem
s, L
earn
ing
and
Rese
arch
Str
engt
hene
d
2
018-
2022
KN
AP, K
ey R
esul
t Are
a 16
Out
puts
Activ
itie
s B
udge
t in
Ksh
2018
2019
2020
2021
2022
Tot
al
Ksh
To
tal
USD
Out
put 1
6.1
Nut
riti
on s
ecto
r pl
ans
prog
ress
revi
ewed
18.4
916
.12
23.7
62.
8958
.25
119.
50$
1
.18
Activ
ity 1
6.1.
1: R
evie
w a
nd u
pdat
e th
e Ke
nya
Nut
ritio
n M
&E
fram
ewor
k-
6.54
--
6.54
13.0
8$
0
.13
Activ
ity 1
6.1.
2: S
uppo
rt d
evel
opm
ent a
nd p
rogr
ess r
evie
w o
f AW
Ps
and
othe
r mul
ti-ye
ar p
lans
and
pol
icie
s0.
130.
130.
130.
130.
130.
64$
0
.01
Activ
ity 1
6.1.
3: C
ondu
ct q
uart
erly
, ann
ual,
mid
-term
and
end
term
re
view
s/ev
alua
tions
of t
he K
NAP
and
take
corr
ectiv
e ac
tions
15
.83
6.92
21.1
00.
2349
.05
93.1
1$
0
.92
Activ
ity 1
6.1.
4: D
evel
op a
nd d
isse
min
ated
ann
ual r
epor
ts2.
542.
542.
542.
542.
5412
.68
$
0.1
3
Out
put 1
6.2
Stre
ngth
ened
Nut
riti
on s
ecto
r ca
paci
ty in
NIS
and
evi
denc
e ba
sed
deci
sion
mak
ing
7.08
27.5
515
.98
27.6
033
.79
112.
00$
1
.11
Activ
ity 1
6.2.
1: D
evel
op a
nd u
se a
nut
ritio
n m
ulti
sect
oral
nut
ritio
n sc
ored
card
to m
onito
r key
KNA
P in
dica
tors
qua
rter
ly-
-1.
5113
.66
13.6
628
.82
$
0.2
9
Activ
ity 1
6.2.
2: T
rain
offi
cers
on
web
site
Mai
nten
ance
and
m
anag
emen
t; qu
alita
tive
rese
arch
met
hodo
logy
; SM
ART
Surv
ey
met
hodo
logy
; Int
egra
ted
Phas
e Cl
assi
ficat
ion
for a
cute
mal
nutr
ition
; N
utri
tion
data
ele
men
ts a
nd in
dica
tors
; Sen
tinel
Sur
veill
ance
-Ear
ly
War
ning
Sys
tem
;
7.02
27.4
714
.42
13.8
820
.07
82.8
5$
0
.82
Act
ivity
16.
2.3:
Rou
tine
Data
revi
ew a
nd fe
edba
ck m
eetin
gs w
ith
coun
ties
0.06
0.06
0.06
0.06
0.06
0.30
$
0.0
0
Act
ivity
16.
2.4:
Con
duct
M&
E Ca
paci
ty N
eeds
Ass
essm
ent a
nd A
ctio
n Pl
an fo
r fin
ding
s -
0.02
--
-0.
02$
0
.00
Out
put 1
6.3:
Impr
oved
acc
ess
to a
nd u
se o
f nut
riti
on in
form
atio
n to
info
rm
prog
ram
mes
qua
lity,
adj
ustm
ent a
nd le
arni
ng41
.85
41.7
936
.15
36.1
536
.15
192.
09$
1
.90
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 107
Sect
oral
and
Mul
ti-s
ecto
ral N
utri
tion
Info
rmat
ion
Syst
ems,
Lea
rnin
g an
d Re
sear
ch S
tren
gthe
ned
201
8-20
22 K
NAP
, Key
Res
ult A
rea
16
Activ
ity 1
6.3.
1: C
ondu
ct n
utri
tion
situ
atio
n an
alys
is, g
ener
ate
info
rmat
ion
prod
ucts
, and
dis
sem
inat
e to
all
leve
ls fo
r pla
nnin
g an
d re
spon
se
17.8
217
.82
17.8
217
.82
17.8
289
.10
$
0.8
8
Activ
ity 1
6.3.
2: U
ploa
d nu
triti
on p
rodu
cts r
epor
ts a
nd b
ulle
tins i
n th
e nu
triti
on w
ebsi
te a
nd p
opul
atio
n su
rvey
dat
abas
e an
d do
cum
ent b
est
prac
tices
and
less
ons l
earn
t in
M&
E/N
IS
0.09
0.09
0.09
0.09
0.09
0.45
$
0.0
0
Activ
ity 1
6.3.
2: S
uppo
rt d
evel
opm
ent a
nd re
view
of d
ata
prot
ectio
n sh
arin
g gu
idel
ines
.17
.82
17.8
217
.82
17.8
217
.82
89.1
0$
0
.88
Activ
ity 1
6.3.
2: D
evel
op n
utri
tion
dash
boar
ds, s
core
card
s, el
ectr
onic
da
ta co
llect
ion
tool
s etc
.1.
176.
060.
420.
420.
428.
49$
0
.08
Activ
ity 1
6.3.
2: S
yste
mat
ic u
tiliz
atio
n of
nut
ritio
n in
form
atio
n to
in
form
pro
gram
mes
qua
lity
impr
ovem
ent
4.95
--
--
4.95
$
0.0
5
Out
put 1
6.4
Stan
dard
ized
and
har
mon
ized
nut
riti
on d
ata
colle
ctio
n m
etho
dolo
gies
, man
agem
ent,
and
repo
rtin
g at
all
leve
ls0.
882.
271.
02-
0.63
4.79
$
0.0
5
Activ
ity 1
6.4.
1: R
evie
w/
Deve
lop
and
diss
emin
ate
guid
elin
es o
n nu
triti
on M
&E
base
d on
fiel
d le
arni
ng e
xper
ienc
e an
d em
ergi
ng
glob
al g
uida
nce:
Nut
ritio
n Co
vera
ge G
uide
line;
DQA
Gui
delin
e fo
r nu
triti
on in
dica
tors
; Sen
tinel
Site
s DQA
Gui
delin
es re
view
ed; M
IYCN
KA
P
0.50
0.38
--
-0.
88$
0
.01
Activ
ity 1
6.4.
2: R
evie
w/d
evel
op F
ield
Ass
essm
ent M
anua
l; Gu
idel
ines
on
CNA
P De
velo
pmen
t; IY
CF-e
ass
essm
ent t
ools
and
gui
delin
es;
Nut
ritio
n KH
IS to
ols r
evie
w; S
MAR
T Su
rvey
Que
stio
nnai
re re
view
; KA
P Su
rvey
Que
stio
nnai
re re
view
;
0.38
1.56
0.36
-0.
602.
90$
0
.03
Activ
ity 1
6.4.
3: P
artic
ipat
e in
the
HM
IS in
dica
tor m
anua
l rev
iew
-
0.03
--
0.03
0.06
$
0.0
0
Activ
ity 1
6.4.
4: P
rint
, dis
trib
ute
and
diss
emin
ate
MOH
Nut
ritio
n M
&E
fram
ewor
k, to
ols,
man
uals
, and
gui
delin
es.
-0.
300.
66-
-0.
96$
0
.01
Out
put 1
6.5
Qua
lity
nutr
itio
n da
ta g
ener
ated
for
evid
ence
-bas
ed
prog
ram
mes
min
g62
.47
62.4
716
7.47
62.4
761
.92
416.
80$
4
.13
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022108
Sect
oral
and
Mul
ti-s
ecto
ral N
utri
tion
Info
rmat
ion
Syst
ems,
Lea
rnin
g an
d Re
sear
ch S
tren
gthe
ned
201
8-20
22 K
NAP
, Key
Res
ult A
rea
16
Activ
ity 1
6.5.
1: C
ondu
ct n
utri
tion
data
clin
ics t
o re
flect
on
NIS
pro
cess
es, k
ey e
mer
ging
issu
es, l
esso
ns le
arnt
from
fiel
d im
plem
enta
tion
and
tap
into
nat
iona
l, re
gion
al a
nd g
loba
l exp
erts
to
impr
ove
NIS
0.66
0.66
0.66
0.66
0.66
3.28
$
0.0
3
Activ
ity 1
6.5.
2: C
ondu
ct D
ata
Qual
ity A
udits
for D
HIS
, LM
IS a
nd
sent
inel
surv
eilla
nce
1.67
1.67
1.67
1.67
1.11
7.77
$
0.0
8
Activ
ity 1
6.5.
3 Re
view
and
val
idat
e m
etho
dolo
gies
and
resu
lts a
nd
qual
ity m
onito
ring
dur
ing
nutr
ition
surv
eys-
SMAR
T, M
IYCN
KAP
and
Co
vera
ge su
rvey
s
0.15
0.15
0.15
0.15
0.15
0.75
$
0.0
1
Activ
ity 1
6.5.
4: C
ondu
ct In
tegr
ated
Nut
ritio
n SM
ART
Surv
eys,
MN
IYCN
KAP
and
cove
rage
ass
essm
ent
60.0
060
.00
165.
0060
.00
60.0
040
5.00
$
4.0
1
Out
put 1
6.6
Enha
nced
mul
ti-s
ecto
ral l
inka
ges
resu
lt in
impr
oved
nut
riti
on
info
rmat
ion
effic
ienc
ies
and
cost
-effe
ctiv
enes
s11
.43
37.8
511
.54
11.4
337
.76
110.
01$
1
.09
Activ
ity 1
6.6.
1: H
old
peri
odic
Mul
ti se
ctor
al n
utri
tion
colla
bora
tion
TWG
mee
tings
and
mon
itori
ng o
f TW
G Pl
an0.
640.
640.
640.
640.
643.
19$
0
.03
Activ
ity 1
6.6.
2: S
tren
gthe
n co
ntin
uity
of N
ITW
G pa
rtne
rshi
p w
ith
stak
ehol
ders
such
as N
DMA,
KN
BS, F
EWSN
ET, M
OH H
IS.
-0.
090.
11-
-0.
20$
0
.00
Activ
ity 1
6.6.
3: E
nhan
ce li
nkag
es b
etw
een
NIT
WG
and
othe
r wor
king
gr
oups
with
in th
e se
ctor
s.10
.55
10.5
510
.55
10.5
510
.55
52.7
7$
0
.52
Activ
ity 1
6.6.
4: P
lan/
revi
ew T
ORs f
or M
&E/
NIS
incl
udin
g m
onth
ly
mee
tings
and
NIT
WG
cost
ed p
lan
for r
esou
rce
mob
iliza
tion.
-26
.33
--
26.3
352
.65
$
0.5
2
Activ
ity 1
6.6.
5: S
uppo
rt th
e m
ulti-
sect
oral
Nut
ritio
n In
form
atio
n Pl
atfo
rm (N
IP) f
or im
prov
ed m
ulti-
sect
oral
dat
a an
alys
is,
diss
emin
atio
n an
d ut
iliza
tion.
0.24
0.24
0.24
0.24
0.24
1.20
$
0.0
1
Out
put 1
6.8
Enha
nced
evi
denc
e-ba
sed
deci
sion
mak
ing
thro
ugh
rese
arch
14.9
29.
3615
.75
14.0
212
.66
66.7
2$
0
.66
Activ
ity 1
6.7.
1: D
evel
op st
rate
gic p
artn
ersh
ips a
nd n
etw
orks
in
addr
essi
ng n
atio
nal r
esea
rch
agen
da1.
620.
12-
--
1.74
$
0.0
2
Activ
ity 1
6.7.
2: A
dvoc
ate
for r
esea
rch
prio
ritiz
atio
n at
bot
h na
tiona
l an
d co
unty
leve
ls
2.22
0.42
7.26
4.16
4.16
18.2
3$
0
.18
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022 109
Sect
oral
and
Mul
ti-s
ecto
ral N
utri
tion
Info
rmat
ion
Syst
ems,
Lea
rnin
g an
d Re
sear
ch S
tren
gthe
ned
201
8-20
22 K
NAP
, Key
Res
ult A
rea
16
Activ
ity 1
6.7.
3: A
dvoc
ate
and
stre
ngth
en fo
rmat
ion
and
coor
dina
tion
of su
b co
mm
ittee
s for
rese
arch
for a
ll co
untie
s-
--
--
-$
-
Activ
ity 1
6.7.
4: D
evel
op ca
paci
ty in
rese
arch
met
hodo
logi
es,
know
ledg
e tr
ansl
atio
n an
d sy
stem
etic
revi
ew p
roce
sses
4.48
3.36
3.33
4.46
3.33
18.9
6$
0
.19
Activ
ity 1
6.7.
5: D
isse
min
atio
n of
rese
arch
find
ings
3.14
2.90
2.90
3.14
2.90
14.9
7$
0
.15
Activ
ity 1
6.7.
6: S
tren
gthe
n sy
stem
atic
revi
ew o
f nut
ritio
n se
nsiti
ve
and
nutr
ition
spec
ific r
esea
rch
-
0.30
--
-0.
30$
0
.00
Activ
ity 1
6.7.
7: P
rom
ote
know
ledg
e sh
arin
g fo
rum
s suc
h as
Sy
mpo
sium
s and
conf
eren
ces,
wor
ksho
ps, m
eetin
gs1.
321.
321.
321.
321.
326.
60$
0
.07
Activ
ity 1
6.7.
8: E
stab
lish
an e
ffect
ive
mec
hani
sm fo
r kno
wle
dge
man
agem
ent a
nd le
arni
ng
0.48
--
--
0.48
$
0.0
0
Act
ivity
16.
7.9:
Kno
wle
dge
shar
ing
trou
gh p
ublic
atio
ns0.
440.
440.
440.
440.
442.
22$
0
.02
Activ
ity 1
6.7.
10: E
stab
lishm
ent o
f res
earc
h Re
posi
tory
1.
220.
500.
500.
500.
503.
22$
0
.03
Kenya Nutrition Monitoring and Evaluation Framework 2018 to 2022110
Annex 8 List of contributorsName Agency/ DepartmentVeronica Kirogo MoH, Division of Nutrition and DieteticsDr David Soti MoH, Office of the Director generalLeila Akinyi MoH, Division of Nutrition and DieteticsSamuel Murage MoH, Division of Nutrition and DieteticsLucy W Kinyua MoH, Division of Nutrition and DieteticsJulia Rotich MoH, Division of Nutrition and DieteticsFlorence Mugo MoH, Division of Nutrition and DieteticsCaroline Arimi MoH, Division of Nutrition and DieteticsChristine Muthoni Maina MoH, Division of Nutrition and DieteticsFrancis Aila MoH, Homa Bay countyBernette Walema Ministry of EducationBeatrice Ooko Ministry of EducationBoniface Ouko Ministry of EducationJane Wanjiru Njeri MoH, Kiambu countyCaroline Owange MoH, Nairobi countyJessica Mbochi MoH, Nairobi countyPaul Migwi MOH, Nyandarua countyLeah Chelobei MoH, West Pokot countyBertha Ocholla Kenyatta National HospitalLucy Maina Gathigi UNICEFKibet Chirchir UNICEFEdward Kutondo UNICEFSicily Matu UNICEFSusan Jobado UNICEFTom Amolo UNICEFSophie Ochola ConsultantElijah Odundo ConsultantMark Murage Gathii ConsultantAnthony Mativo Kioko World Vision Kenya Chair NITWGLilian Kaindi Action Against Hunger - ACFPaul Otieno Action Against Hunger - ACFBrian Asande Feed the Children Rosemary Nyaga Feed the children Leonard Kiriama Kenya Red Cross SocietyDella Akumu Save the Children Ruth Amamo Save the Children
MINISTRY OF HEALTH
Kenya Nutrition Monitoring and Evaluation Framework
2018 to 2022