Evidence map›Paper›PMID 27216480›Full record

ArticleJournal of general internal medicine2016

Characteristics Associated with Patient-Centered Medical Home Capability in Health Centers: A Cross-Sectional Analysis.

Yue Gao, Robert S Nocon, Kathryn E Gunter, Ravi Sharma, Quyen Ngo-Metzger, Lawrence P Casalino, Marshall H Chin

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Yue GaoSection of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
Robert S NoconSection of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
Kathryn E GunterSection of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA.
Ravi SharmaBureau of Primary Health Care, Health Resources and Services Administration, U.S. Department of Health and Human Services, Rockville, MD, USA.
Quyen Ngo-MetzgerU.S. Preventive Services Task Force Program, Agency for Healthcare Research and Quality, U.S. Department of Health and Human Services, Rockville, MD, USA.
Lawrence P CasalinoDepartment of Healthcare Policy and Research, Weill Cornell Medical College, New York, NY, USA.
Marshall H ChinSection of General Internal Medicine, Department of Medicine, The University of Chicago, Chicago, IL, USA. mchin@medicine.bsd.uchicago.edu.
University of Chicago · USAgency for Healthcare Research and Quality · USCornell University · USHealth Resources and Services Administration · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI MONICA E PEEK · 2011 to 2026
$10.0M
The University of Chicago and Northwestern University Predoctoral Health Services Research Program-RenewalT32HS000084 · AHRQ · UNIVERSITY OF CHICAGO · PI KONETZKA, RITA TAMARA, MELTZER, DAVID O · 1998 to 2024
$7.6M
Research and Mentorship in Improving Diabetes CareK24DK071933 · NIDDK · UNIVERSITY OF CHICAGO · PI CHIN, MARSHALL H · 2005 to 2014
$1.6M
AHRQ HHS T32 HS000084NIDDK NIH HHS K24 DK071933NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

backgroundThe patient-centered medical home (PCMH) model is being implemented in health centers (HCs) that provide comprehensive primary care to vulnerable populations.

objectiveTo identify characteristics associated with HCs' PCMH capability.

designCross-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.

participantsA 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

resultsIndependent 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.

conclusionsEHR 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.

Indexed as

AdultCommunity Health CentersCross-Sectional StudiesDatabases, FactualFemaleHumansMalePatient-Centered CareQuality of Health Caredisparitiesfinancial incentiveshealth centermedical homevulnerable populations

Identifiers

PMID27216480
PMCPMC4978681
OpenAlexW2407428498

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.