Evidence map›Paper›PMID 28885893›Full record

ArticlePopulation health management2018

Does Patient-Centered Medical Home Recognition Relate to Accountable Care Organization Participation?

Yi-Ling Lin, Yuan Du, Cristina Gomez, Judith Ortiz

Abstract read
In one paragraph

Article in Population health management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yi-Ling Lin1 Rural Health Research Group, College of Health and Public Affairs, University of Central Florida , Orlando, Florida.
Yuan Du2 Clinical Analytics, Florida Hospital , Orlando, Florida.
Cristina Gomez3 Burnett Honors College, University of Central Florida , Orlando, Florida.
Judith Ortiz4 College of Health and Public Affairs, University of Central Florida , Orlando, Florida.

Funding

Rural Health Clinics in Accountable Care Organizations: Impact on DisparitiesU24MD006954 · NIMHD · UNIVERSITY OF CENTRAL FLORIDA · PI ORTIZ, JUDITH · 2011 to 2014
$1.8M
NIMHD NIH HHS U24 MD006954
6 · The paper itself

Abstract

As of April 2015, less than 10% of Medicare Shared Savings Program Accountable Care Organizations (MSSP ACOs) included Rural Health Clinics (RHCs). In order to understand why RHCs are not participating in this ACO model in greater numbers, this study examined the influence of several factors on ACO participation. Data for this study were collected via a survey distributed during the summers of 2012, 2013, and 2014 to all RHCs in 9 states. This study had a cross-sectional design using survey research. The unit of analysis was the RHC; the total sample size was 178. This study found that those respondents who reported knowing very little about ACOs had the lowest "willingness to join an ACO" score and that the passage of time increased RHC willingness to join an ACO. Also, patient-centered medical home (PCMH) recognition was the most influential factor related to an RHC's adopting the ACO model. If ACO model adoption is to increase in rural areas, this study suggests that strategies would need to include methods for (1) targeting RHCs that have PCMH recognition; (2) increasing PCMH recognition in rural areas; and (3) increasing RHC knowledge about what an ACO is, how the model works, and why this model may benefit RHCs and other rural primary care providers.

Indexed as

Accountable Care OrganizationsPatient-Centered CareCross-Sectional StudiesDiffusion of InnovationHumansMedicareRural Health ServicesUnited Statesaccountable care organizationsdiffusion of innovation theorypatient-centered medical home

Identifiers

PMID28885893
PMCPMC5984562

What OpenQuestion holds

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Registered trials

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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.