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Patient-Centered Medical Homes: Observable Types Derived From National Recognition Assessment Scores

Vest, Joshua R. PhD, MPH; Kern, Lisa M. MD, MPH; Jung, Hye-Young PhD; Ancker, Jessica S. PhD, MPH; Richardson, Joshua E. PhD, MLIS, MS; Silver, Michael D. MS; Kaushal, Rainu MD, MPHfor the HITEC Investigators

Journal of Ambulatory Care Management: April/June 2015 - Volume 38 - Issue 2 - p 144–152
doi: 10.1097/JAC.0000000000000064
Original Articles

The patient-centered medical home (PCMH) is a strategy to transform primary care delivery organizations. However, PCMHs take on many forms and can “look different.” To better understand the activities of organizations undertaking this strategy, we sought to identify discernible PCMH types using cluster analyses. From a sample of level 3 National Committee for Quality Assurance PCMHs, We extracted 3 types of PCMHs: information-focused, efficiency-focused, and high-scoring. Our findings confirm that the PCMH is not a uniform intervention. Characterizing PCMHs with particular areas of focus has implications for understanding the transformation process, identifying areas for continued practice development, and advancing evaluation of this organizational model.

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Center for Health Informatics & Policy (Drs Vest, Kern, Jung, Ancker, Richardson, and Kaushal and Mr Silver), Department of Healthcare Policy and Research (Drs Vest, Kern, Jung, Ancker, Richardson, and Kaushal and Mr Silver), Department of Medicine (Drs Kern and Kaushal), and Department of Pediatrics (Dr Kaushal), Weill Cornell Medical College, New York; and NewYork-Presbyterian Hospital, New York (Dr Kaushal).

Correspondence: Joshua R. Vest, PhD, MPH, Healthcare Policy and Research, Weill Cornell Medical College, 402 East 67th St, Room 236, New York, NY 10065 (

The project was funded by the New York State Department of Health: Evaluation of the Healthcare Efficiency and Affordability Law for New Yorkers Program (HEAL NY)—Phase 10 (contract C025877). The authors thank the grantee communities and practices for their participation and assistance. They also thank the National Committee for Quality Assurance for providing access to recognition assessment data and thank Hope Lafferty for her editorial assistance. This study was part of a broader evaluation of HEAL NY by the Health Information Technology Evaluation Collaborative (HITEC), a consortium of 4 academic institutions in New York State charged with evaluating the effects of interoperable health information technology. The project was approved by the institutional review board of Weill Cornell Medical College.

The authors have disclosed that they have no significant relationships with, or financial interest in, any commercial companies pertaining to this article.

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