The Fund supports networks of state health policy decision makers to help identify, inspire, and inform policy leaders.
A bipartisan group of state health policymakers from both the executive and legislative branches who are focused on improving population health.
Networks of state officials, advocates, and others aiming to invest in and transform primary care.
A program dedicated to advancing state-based efforts to make health care more affordable for residents, employers, and states.
The Milbank Memorial Fund supports two state leadership programs for legislative and executive branch state government officials committed to improving population health.
A leadership development program for early and mid-career state government officials who are committed to improving the health of all people in their communities.
A leadership program for senior state government officials who are committed to improving population health.
The Fund focuses on creating an affordable health care system built on strong primary care and partnerships that improve health outcomes for all.
Improving state leaders’ ability to enact and implement evidence-based health policies.
Advancing policies that create a more prevention- and primary care-oriented health system.
Improving population health through policies that contain health care cost growth.
Our state health policy resources offer relevant data analysis and best practices.
The Fund publishes reports, issues briefs, and case studies on state health policy issues.
Short takes on health policy issues from Milbank staff and guest authors.
Insights from Milbank President Debra Lubar on state health policymaking.
Reported articles and Q&As on timely health policy issues, as well as foundation updates.
Milbank Memorial Fund and Milbank Quarterly webinars featuring state health policymakers and researchers.
Updates and expert contact information for reporters.
The Milbank Memorial Fund is a private foundation that works to improve population health and health equity.
December 2015 (Volume 93)
Quarterly Article
Michael Shwartz
Joseph D. Restuccia
Amy K. Rosen
Sep 17, 2026
Sep 14, 2026
Sep 9, 2026
Back to The Milbank Quarterly
Policy Points:
Context: Since the Institute of Medicine’s 2001 report Crossing the Quality Chasm, there has been a rapid proliferation of quality measures used in quality monitoring, provider-profiling, and pay-for-performance (P4P) programs. Although individual performance measures are useful for identifying specific processes and outcomes for improvement and tracking progress, they do not easily provide an accessible overview of performance. Composite measures aggregate individual performance measures into a summary score. By reducing the amount of data that must be processed, they facilitate (1) benchmarking of an organization’s performance, encouraging quality improvement initiatives to match performance against high-performing organizations, and (2) profiling and P4P programs based on an organization’s overall performance.
Methods: The major issues in creating composite measures are (1) whether to aggregate measures at the patient level through all-or-none approaches or the facility level, using one of the several possible weighting schemes; (2) when combining measures on different scales, how to rescale measures (using z scores, range percentages, ranks, or 5-star categorizations); and (3) whether to use shrinkage estimators, which increase precision by smoothing rates from smaller facilities but also decrease transparency.
Findings: The major issues in creating composite measures are (1) whether to aggregate measures at the patient level through all-or-none approaches or the facility level, using one of the several possible weighting schemes; (2) when combining measures on different scales, how to rescale measures (using z scores, range percentages, ranks, or 5-star categorizations); and (3) whether to use shrinkage estimators, which increase precision by smoothing rates from smaller facilities but also decrease transparency.
Conclusions: Because provider rankings and rewards under P4P programs may be sensitive to both context and the data, careful analysis is warranted before deciding to implement a particular method. A better understanding of both when and where to use composite measures and the incentives created by composite measures are likely to be important areas of research as the use of composite measures grows.
Author(s): Michael Shwartz, Joseph D. Restuccia, and Amy K. Rosen
Keywords: composite measures, performance measurement
Read on Wiley Online Library
Volume 93, Issue 4 (pages 788–825) DOI: 10.1111/1468-0009.12165 Published in 2015