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Measuring what matters to patients:
concepts & cases
The Health Foundation
Improvement Science Development
Group
January 7, 2013
Eugene C. Nelson, DSc, MPH
The Dartmouth Institute
Dartmouth-Hitchcock Health System
Acknowledgements: J. Weinstein, R. Reid, S. Lindblad, J. Wasson, C. Kerrigan, J.
Kirk, P. Batalden, et al and financial support from The Dartmouth Institute, The
Dartmouth Center for Healthcare Delivery Science, the Robert Wood Johnson
Foundation, PCORI and NIH-NIA.
Wayne Gretzky
2
Gretzky Group: Health Affairs 2013Short
Answer
Value:
Outcomes
+
Experiences
+
Costs
Key Patient Outcomes
Experience
Disease Function
Risks Costs
Competence
Person ClinicianCo-Production
** Clinical microsystems, i.e., the place where patients and providers meet and interact for the benefit of patients (12)
Aim: measures to support co-production of health* & health care in microsystems**
Clinical Microsystem
Key measures Health Determinants*
• Genetics
• Environment
• Lifestyle
• Health care
At risk
New condition
Recover/Reduce Burden
An old story … great clinical results &
better functional outcomes …
because of functional screening
4
Insert JAMA article
Jack Kirk, MD
Founder
Dartmouth COOP Project
JAMA 1983
x
Case 1
55
Using PROMs with Individuals:
Dartmouth Spine Center
© 2000, Trustees of Dartmouth College, Batalden, Nelson, Wasson
Referral or VisitRequest
Orientation&
PROMs
InitialWork Up
Plan of Care
FunctionalRestoration
Chronic CareManagement
AcuteCare
Management
DiseaseStatus
ExpectationsFor Good Care
Sunk Costs
Functional &Risk Status
DiseaseStatus
ExperienceAgainst
Need
IncrementalCosts
Functional &Risk Status
Palliative Care
People withhealthcare needs
People withhealthcareneeds met
Feed Forward
Feedback
Improvement registry
Public reports website
SPORT & research
Case 2
Patient Perception of OutcomesHistory &
Symptoms
Red Flags
The summary report generated from patient-reported data is critical to
a physician's ability to care for a patient: same page careFunctional
Status
Risk Status
Disease
Status
“practicing without it …flying a plane without instruments”
1.64
QALY
1.44
QALY
Functional
Clin
ical
Costs
Satis
factio
n
Reduced
Oswestry
Symptoms
Satisfied With
Improvement
Total Direct &
Indirect Costs
Physical SF-36
ImprovementHerniated Disk Outcomes @ 2 Years
Non-SurgerySurgery
44 Ave Age
43% Female
30 Ave Age
45% Female
Cost Per Quality
Adjusted Life Year Added
By Surgery $34,355
$74,870
44
30
59%
78%
-25
-37
$13,108
$27,341
$34,355
Moving research results
back to patient care …
risk calculator
used at point of care
for Shared Decision
Making about likelihood
of outcomes based on
different treatments
My risk calculator
Sweden: Rheumatology
Quality Registry (SRQ)
• SRQ uses PROMs feed forward data in
flow of care: better care for individuals,
practice improvement, new care models,
retrospective & prospective research &
better measured outcomes for Sweden
RA patients
8
Staffan Lindblad, MD
Case 3
Dashboard for a
Rheumatology
Patient
Swedish National
Quality Registry …
patient is
doing better …
N of 1 experiment…
Responded to biologics
January - March
June - December
Functional Outcomes
Clinical Outcomes
By the way … Swedish health system is doing betterAll Patients in the SRQ, from 1994 – 2006*
*Black line shows DAS at initial visit and blue after 6 months and turquoise after 12 months.
Patients sicker at 1st visit
Patients better at 12 months
From front line practice
to national policy
11
My
Health
Status
My
Healthcare
Decisions
My
Healthcare
Plan
My
Health
Outcomes
Patient Reported Metrics + Clinical Metrics =
Guidance System for Getting It Right …
•Health care decisions right for Amy
•Health care plans right for Amy
•Health care outcomes best for Amy
•Thus, Amy is able to co-produce her care
What measures matter most to patients
at the front lines is DYNAMICAmy
Case 4
Lessons Learned
• If we fail to use patient reported outcomes to plan
care we may be flying blind (1980s)
• Patient reported information can be used to guide
shared decision making, build a care plan & track
treatment outcomes (1990s)
• Outcomes are co-produced by people & clinicians
who are guided by health status measures & the
person’s goals that evolve over time (2000s)
12
Selected References1. Black N. Patient reported outcome measures could help transform healthcare. BMJ 2013, Jan 28; 346:f167.
2. Boyce MB, Brown JP. Does providing feedback on patient-reported outcomes to healthcare professionals result in
better outcomes for patients? A systematic review. Qual Life Res 2013, Mar 17.
3. Reuben DB, Tinetti ME. Goal-oreinted patient care: an alternative health outcomes paradigm. 2012 Mar 1 NEJM
366(9):777-9.
4. Essen A, Lindblad S. Innovation as emergence in healthcare: unpacking change. Soc Sci & Med 2013, (93): 203-211.
5. Wu AW. Advances in the Use of Patient Reported Outcome Measures in Electronic Health Records Including Case
Studies. Nov 7, 2013. PCORI National Workshop to Advance the Use of PRO Measures in Electronic Health Records.
Atlnata, GA.
6. Meyer GS, Nelson EC, Pryor DB, James B, Swensen SJ, Kaplan GS, Weissberg JI, Bisognano M, Hunt GC, Yates GR,
Hunt GC: More quality measures versus measuring what matters: a call for balance and parsimony. BMJ Quality and
Safety Journal August 2012. Published Online First: 14 August 2012 doi: 10.1136/bmjqs-2012-001081
7. Snyder C, Aaronson NK, Choucair AK, et al. Implementing patient-reported outcomes assessment in clinical practice: a
review of options and considerations. Qual Life Res2012 Oct;21(8):1305-14.
8. Nelson EC, Butterly J, Colacchio TA, Mastanduno MP, Foster TC, Batalden PB. Better Patient and Population
Outcomes: Practical Approaches that Health Care Systems Can Adopt for Measuring the Health of Patients and
Populations, in Sustainably Improving Health Care: Creatively Linking Care Outcomes, System Performance and
Professional Development Batalden PB, Foster TC (eds.), Radcliffe Publishing, Ashland, Ohio, 11-31, 2012.
9. Nelson EC, Hvitfeldt HF, Reid R, Grossman D, Lindblad S, Mastanduno MP, Weiss LT, Fisher ES, Weinstein JN. Using
Patient-Reported Information to Improve Health Outcomes and Health Care Value: Case Studies from Dartmouth,
Karolinska and Group Health. Technical Report. The Dartmouth Institute for Health Policy and Clinical Practice. 2012
10. Wasson JH, Forsberg HH, Lindblad S, Mazowita G, McQuillen K, Nelson EC. The Medium Is the (Health) Measure -
Patient Engagement Using Personal Technologies. Journal of Ambulatory Care Management. 35 (2); 109-117April-June
2012, doi: 10.1097/JAC.0b013e31823a235e
11. Nelson EC, Fisher ES, Weinstein JN: A Perspective on Patient-Centric, Feed-Forward “Collaboratories”in IOM (Institute
of Medicine) Engineering a learning healthcare system: A look at the future: Workshop summary, The National
Academies Press, Washington, DC, 149-170, 2011.
12. Nelson EC, Batalden PB, Godfrey MG, Lazar JS: Value by Design: Developing Clinical Microsystems to Achieve
Organizational Excellence, Jossey-Bass, 2011.
13. Hvitfeldt H, Carli C, Nelson EC, Mortenson DM, Ruppert BA, Lindblad S. Feed Forward Systems for Patient Participation
and Provider Support; Adoption Results from the Original US Context to Sweden and Beyond. Quality and Safety in
Health Care, 18(4); 247-256, October-December 2010.
14. Christensen CM, Grossman GH, Hwang J. The innovators prescription: a disruptive solution for health care, McGraw-
Hill, 2008.
15. PROMIS Measures: www.promis.nih.org/ (last accessed December 31, 2013)
Aim: Patient-centered decision support for co-production of good care, better health & more competence in self-management.
Key Mechanism: Integrating patient’s voice into flow of care & EHR to co-produce care plans that reflect needs & values.
Feed Forward Clinical Data
Key Patient Outcomes
Experience
Disease Function
Risks Costs
Competence
Patient & Family System
Provider & Care Team System
The Clinical Microsystem
Co-Production
How to Make Patient Reported Data Fit for the Future?
Feed Forward PROMs Data
Patient Value Network Features
• Curated & facilitated**• Patients with shared problem**• Subject matter expertise**• Peer support**• Information I need for self-care**• My personal health plan• E.g., PatientsLikeMe, HowsYourHealth
Auto Immune Complex
Patient facilitated Networks
Patients Pull
Clinical Registry Features
• Feed forward PGHD at point of care for care planning & outcomes tracking**
• Comparative data for practice improvement**
• Research Database as by-product**• Maintenance of Certification• PQRS (Physician Quality Reporting
System) data feeds• Data Flows Designed into Work Flows• E.G. SRQ, NPF Registries
Providers Pull
Clinical Registries
© Copyright 2013: E.C. Nelson, P. Batalden, S. Lindblad
PHR EHR
Skating to where the puck
is going to be