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Experience in nutrition information systems in the region. Ctown 2.ppt. Fitting systems together and deciding priorities. Kenya. Repeated national surveys (CBS, DHS, MICS), giving provincial trends Clinic based reporting system (CHANIS) - PowerPoint PPT Presentation
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Ctown 2.ppt
Experience in nutrition information systems in the region
System/ Data source
Eth
Ken
Som
Uga
Bots
Les
Mal
Moz
Nam
S A
Zam
Zim
A. Repeated natl surveys (# 90 on)
Y (6 )
Y (4)
?
Y (2)
Y (1)
Y (3)
Y (4)
Y (3)
Y (2)
?
Y (3)
Y (4)
B. Area level Surveys (ad hoc) # 2000 on
399
163
107
100
-
-
2/~30
N
-
2/32
N
C. Reporting systems Clinics
(Y) Chanis
Thru HMIS
Y (food distrn points)
Y?
Selected clinics
Proposed
Thru DHIS
Screening
EOS twice yrly
Progs CBNP D. Sentinel Systems
Survey
F-up asst surveys
ALRMP In FSAU Y
Site
Proposed
In FSAU Proposed
Fitting systems together and deciding priorities
Kenya
Purpose – primary, (secondary) CHANIS DHS
CBS/Natl MICS
Area-Level
surveys ALRMP FEWSNET VAM/WFP FIVIMS
Long Term Planning & Policy Making
X X X (X)
Program Monitoring & Evaluation
X (X) (X)
Timely Warning (X) X X X X X
• Repeated national surveys (CBS, DHS, MICS), giving provincial trends• Clinic based reporting system (CHANIS)• Sentinel sites monthly assessment (MUAC) by ALRMP• Area-level surveys, drought-prone areas, ad hoc
Uganda
Data source/systemMain purpose
Long term planning
Program monitoring
Timely warning of food/nutrition crises
DHS Y (Y) NoHMIS current (Y) Y (Y)HMIS with selected site focus (P) (P) PC-based programs thru HMIS (P) P PEWS – prodn, climate etc (Y) No YEWS – prices No No Y
Y – yes, (Y) – sometimes, P – potential, (P) – maybe.
Ethiopia
• Repeated national surveys, give trends to region or zone level (WMS, DHS)• EOS screening data (AC, then w/h)• Area level surveys, often following EOS data signals• Several others, e.g. SCF sentinel repeated surveys (discontinued)• Sentinel use of screening data (first stage) might be feasible
Advantages DisadvantagesQuantity of data more manageable Gaps in the system (missed areas of
deterioration)Quality of data improves Possible ‘Hawthorne’ effectTrend analysis more manageable Trigger for action set to prevalence levels
not trends (system provides trends not prevalence levels)
Data collection cycle can be shortened Does not address the needs of non-sedentary populations
Capacity building improves with focused resources
Capacity for analysis at sites may not by sustainable
Sentinel approach
means selecting limited number of sites for focusing data collection/analysis, usually chosen as most likely to show change – these can be clinics or programme sites capturing data already collected, or clusters for sampling for new surveys
Survey Agency Date Season Sample Design
Sampling Frame
Accurate To*
Area Self-Weighted
Age-Band
Rural Nutrition Su Survey
CSA 02/1984-05/1984
Peak 2 Stage cluster PPS
1984 Census Zone Rural Nation, Region,
Zone
0-59
Rural Nutrition Survey
CSA 02/1992-05/1984
Peak 2 Stage cluster PPS
1984 Census with fresh
HH list
Zone Rural Nation, Region,
Zone
0-59
WMS CSA 01/1996-02/1996
Peak 2 Stage cluster PPS (rural); 3 Stage cluster PPS (urban)
1984 Census with fresh
HH list
Region Rural/Urban Nation, Region
3-59
WMS CSA 01/1996-02/1998
Peak 2 Stage cluster PPS (rural); 3 Stage cluster PPS (urban)
1984 Census with fresh
HH list
Zone Rural/Urban Nation, Region,
Zone
3-59
WMS CSA 01/2000-02/2000
Peak 2 Stage cluster PPS (rural); 3 Stage cluster PPS (urban)
1984 Census with fresh
HH list
Zone Rural/Urban Nation, Region,
Zone
3-59
DHS CSA, ORC
Macro
02/2000-06/2000
, Beginning
Slack
2 Stage cluster PP square root
of size
1984 Census with fresh
HH list
Region Rural/Urban Nation, Region,
Zone
0-59
WMS CSA 06/2005-07/2005
Slack 2 Stage cluster PPS (rural); 3 Stage cluster PPS (urban)
2003 Agricultural Enumeration
(Rural); 2004 Urban
Census
Zone Rural/Urban Nation, Region,
Zone
3-59
Sources: WHO, Global Database on Child Growth and Malnutrition; CSA, 1996; CSA, 1998; CSA, 2000; DHS, 2000; CSA, 2004* Levels of accuracy in the Table 1 refer to levels published in survey’s reports. These surveys exclude non-sedentary populations (did not sample some zones in Afar and Somali regions), and are therefore accurate only to the sedentary populations of geographic areas. The 2004 WMS (data from 2005) excludes Gambella region entirely. Gambella region has had high levels of malnutrition in the past (i.e. the 2000 WMS reports 13% wasting, 32% underweight, and 40.5% stunting).
Somalia – FSAU
• Agro-met, satellite, animal and crop conditions, prices, etc• Area level surveys, including wasting in children: sentinel site and ad hoc surveys
Botswana• National surveys, BFHS (Family Health Surveys), MICS 2000• Clinic-based reporting (BNNSS)
EducationJanuary April
# weighed % uwt # weighed % uwt
None
Primary
P/prim
Zimbabwe• Repeated national surveys• Sentinel survey system, 6-monthly