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 2016 (Volume 94)
Quarterly Article
Mary Ann C. Bautista
Milawaty Nurjono
Yee Wei Lim
Ezra Dessers
Hubertus JM Vrijhoef
Sep 17, 2026
Sep 14, 2026
Sep 9, 2026
Back to The Milbank Quarterly
Policy Points:
Context: Integrated care is an important strategy for increasing health system performance. Despite its growing significance, detailed evidence on the measurement properties of integrated care instruments remains vague and limited. Our systematic review aims to provide evidence on the state of the art in measuring integrated care.
Methods: Our comprehensive systematic review framework builds on the Rainbow Model for Integrated Care (RMIC). We searched MEDLINE/PubMed for published articles on the measurement properties of instruments measuring integrated care and identified eligible articles using a standard set of selection criteria. We assessed the methodological quality of every validation study reported using the COSMIN checklist and extracted data on study and instrument characteristics.We also evaluated the measurement properties of each examined instrument per validation study and provided a best evidence synthesis on the adequacy of measurement properties of the index instruments.
Findings: From the 300 eligible articles, we assessed the methodological quality of 379 validation studies from which we identified 209 index instruments measuring integrated care constructs. The majority of studies reported on instruments measuring constructs related to care integration (33%) and patient-centered care (49%); fewer studies measured care continuity/comprehensive care (15%) and care coordination/case management (3%). We mapped 84% of the measured constructs to the clinical integration domain of the RMIC, with fewer constructs related to the domains of professional (3.7%), organizational (3.4%), and functional (0.5%) integration. Only 8% of the instruments were mapped to a combination of domains; none were mapped exclusively to the system or normative integration domains. The majority of instruments were administered to either patients (60%) or health care providers (20%). Of the measurement properties, responsiveness (4%), measurement error (7%), and criterion (12%) and cross-cultural validity (14%) were less commonly reported. We found <50% of the validation studies to be of good or excellent quality for any of the measurement properties. Only a minority of index instruments showed strong evidence of positive findings for internal consistency (15%), content validity (19%), and structural validity (7%); with moderate evidence of positive findings for internal consistency (14%) and construct validity (14%).
Conclusions: Our results suggest that the quality of measurement properties of instruments measuring integrated care is in need of improvement with the less-studied constructs and domains to become part of newly developed instruments.
Author(s): Mary Ann C. Bautista, Milawaty Nurjono, Yee Wei Lim, Ezra Dessers, and Hubertus JM Vrijhoef
Keywords: integrated care, measurement instruments, quality of measurement properties, instrument validation, systematic review.
Read on Wiley Online Library
Volume 94, Issue 4 (pages 862–917) DOI: 10.1111/1468-0009.12233 Published in 2016