|Title||Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.|
|Publication Type||Journal Article|
|Year of Publication||2016|
|Authors||Gao Y, Nocon RS, Gunter KE, Sharma R, Ngo-Metzger Q, Casalino LP, Chin MH|
|Journal||J Gen Intern Med|
|Date Published||2016 Sep|
|Keywords||Adult, Community Health Centers, Cross-Sectional Studies, Databases, Factual, Female, Humans, Male, Patient-Centered Care, Quality of Health Care|
BACKGROUND: The patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations.
OBJECTIVE: To identify characteristics associated with HCs' PCMH capability.
DESIGN: 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.
PARTICIPANTS: 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.
MAIN MEASURES: 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.
KEY RESULTS: 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.
CONCLUSIONS: 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.
|Alternate Journal||J Gen Intern Med|
|PubMed Central ID||PMC4978681|
|Grant List||K24 DK071933 / DK / NIDDK NIH HHS / United States |
P30 DK092949 / DK / NIDDK NIH HHS / United States
T32 HS000084 / HS / AHRQ HHS / United States