title: Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.
abstract: The patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations.
  
  
  
  To identify characteristics associated with HCs' PCMH capability.
  
  
  
  Cross-sectional analysis of a national dataset of Federally Qualified Health Centers (FQHCs) in 2009. Data for PCMH capability, HC, patient, neighborhood, and regional characteristics were combined from multiple sources.
  
  
  
  A total of 706 (70 %) of 1014 FQHCs from the Health Resources and Services Administration Community Health Center Program, representing all 50 states and the District of Columbia.
  
  
  
  PCMH capability was scored via the Commonwealth Fund National Survey of FQHCs through the Safety Net Medical Home Scale (0 [worst] to 100 [best]). HC, patient, neighborhood, and regional characteristics (all analyzed at the HC level) were measured from the Commonwealth survey, Uniform Data System, American Community Survey, American Medical Association physician data, and National Academy for State Health Policy data.
  
  
  
  Independent correlates of high PCMH capability included having an electronic health record (EHR) (11.7-point [95 % confidence interval, CI 10.2-13.3]), more types of financial performance incentives (0.7-point [95 % CI 0.2-1.1] higher total score per one additional type, maximum possible = 10), more types of hospital-HC affiliations (1.6-point [95 % CI 1.1-2.1] higher total score per one additional type, maximum possible = 6), and location in certain US census divisions. Among HCs with an EHR, location in a state with state-supported PCMH initiatives and PCMH payments was associated with high PCMH capability (2.8-point, 95 % CI 0.2-5.5). Other characteristics had small effect size based on the measure unit (e.g. 0.04-point [95 % CI 0-0.08] lower total score per one percentage point more minority patients), but the effects could be practically large at the extremes.
  
  
  
  EHR adoption likely played a role in HCs' improvement in PCMH capability. Factors that appear to hold promise for supporting PCMH capability include a greater number of types of financial performance incentives, more types of hospital-HC affiliations, and state-level support and payment for PCMH activities.
authors.affiliation: Section of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
authors.forename: Yue
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Section of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
authors.forename: Robert S
authors.initials: RS
authors.lastname: Nocon
authors.affiliation: Section of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
authors.forename: Kathryn E
authors.initials: KE
authors.lastname: Gunter
authors.affiliation: Bureau of Primary Health Care, Health Resources and Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA.
authors.forename: Ravi
authors.initials: R
authors.lastname: Sharma
authors.affiliation: U.S. Preventive Services Task Force Program, Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, Rockville, MD, USA.
authors.forename: Quyen
authors.initials: Q
authors.lastname: Ngo-Metzger
authors.affiliation: Department of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
authors.forename: Lawrence P
authors.initials: LP
authors.lastname: Casalino
authors.affiliation: Section of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA. mchin@medicine.bsd.uchicago.edu.
authors.forename: Marshall H
authors.initials: MH
authors.lastname: Chin
mesh_terms: D000328:Adult; D003151:Community Health Centers / Q000592:standards*; D003430:Cross-Sectional Studies; D016208:Databases, Factual / Q000592:standards*; D005260:Female; D006801:Humans; D008297:Male; D018802:Patient-Centered Care / Q000191:economics / Q000592:standards*; D011787:Quality of Health Care / Q000191:economics / Q000592:standards*
keywords: disparities; financial incentives; health center; medical home; vulnerable populations