Evidence map›Paper›PMID 26911135›Full record

ArticleImplementation science : IS2016

The facilitators and barriers associated with implementation of a patient-centered medical home in VHA.

Christian D Helfrich, Philip W Sylling, Randall C Gale, David C Mohr, Susan E Stockdale, Sandra Joos, Elizabeth J Brown, David Grembowski, Steven M Asch, Stephan D Fihn and 2 more

Open access · goldAbstract read
In one paragraph

Article in Implementation science : IS, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.3field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. "Kind of Feel Like the Lone Outpost": A Qualitative Exploration of Barriers to Professional Development for Rural Primary Care Providers at the Veterans Health Administration.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
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  12. Ambulatory Clinic Exam Room Design with respect to Computing Devices: A Laboratory Simulation Study.IISE transactions on occupational ergonomics and human factors · 2018
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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

12 authors at 9 institutions in 1 country.

Christian D HelfrichSeattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound, U.S. Department of Veterans Affairs, 1660 Columbian Way, S-152, Seattle, 98108, WA, USA. christian.helfrich@va.gov.
Philip W SyllingOffice of Analytics and Business Intelligence, U.S. Department of Veterans Affairs, Seattle, WA, USA.
Randall C GaleCenter for Innovation to Implementation, VHA Palo Alto Healthcare System, Menlo Park, CA, USA.
David C MohrCenter for Healthcare Organization and Implementation Research (CHOIR), VA Boston Healthcare System, Boston, MA, USA.
Susan E StockdaleHSR&D Center for the Study of Healthcare Innovation, Implementation, and Policy, VHA Greater Los Angeles Health Care System, North Hills, CA, USA.
Sandra JoosPortland VHA Medical Center, VISN 20 Patient Aligned Care Team (PACT) Demonstration Laboratory, U.S. Department of Veterans Affairs, Portland, OR, USA.
Elizabeth J BrownCenter for Evaluation of Patient Aligned Care Teams (CEPACT), Philadelphia Veterans Affairs Medical Center, Philadelphia, USA.
David GrembowskiDepartment of Health Services, University of Washington School of Public Health, Seattle, WA, USA.
Steven M AschCenter for Innovation to Implementation, VHA Palo Alto Healthcare System, Menlo Park, CA, USA.
Stephan D FihnSeattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound, U.S. Department of Veterans Affairs, 1660 Columbian Way, S-152, Seattle, 98108, WA, USA.
Karin M NelsonSeattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound, U.S. Department of Veterans Affairs, 1660 Columbian Way, S-152, Seattle, 98108, WA, USA.
Lisa S MeredithRAND Corporation, Santa Monica, CA, USA.
University of Washington · USUnited States Department of Veterans Affairs · USCenter for Innovation · USNeurobehavioral Systems · USPortland VA Medical Center · USRAND Corporation · USVA Boston Healthcare System · USVA Palo Alto Health Care System · USVeterans Health Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe patient-centered medical home (PCMH) is a team-based, comprehensive model of primary care. When effectively implemented, PCMH is associated with higher patient satisfaction, lower staff burnout, and lower hospitalization for ambulatory care-sensitive conditions. However, less is known about what factors contribute to (or hinder) PCMH implementation. We explored the associations of specific facilitators and barriers reported by primary care employees with a previously validated, clinic-level measure of PCMH implementation, the Patient Aligned Care Team Implementation Progress Index (Pi(2)).

methodsWe used a 2012 survey of primary care employees in the Veterans Health Administration to perform cross-sectional, respondent-level multinomial regressions. The dependent variable was the Pi(2) categorized as high implementation (top decile, 54 clinics, 235 respondents), medium implementation (middle eight deciles, 547 clinics, 4537 respondents), and low implementation (lowest decile, 42 clinics, 297 respondents) among primary care clinics. The independent variables were ordinal survey items rating 19 barriers to patient-centered care and 10 facilitators of PCMH implementation. For facilitators, we explored clinic Pi(2) score decile both as a function of respondent-reported availability of facilitators and of rating of facilitator helpfulness.

resultsThe availability of five facilitators was associated with higher odds of a respondent's clinic's Pi(2) scores being in the highest versus lowest decile: teamlet huddles (OR = 3.91), measurement tools (OR = 3.47), regular team meetings (OR = 2.88), information systems (OR = 2.42), and disease registries (OR = 2.01). The helpfulness of four facilitators was associated with higher odds of a respondent's clinic's Pi(2) scores being in the highest versus lowest decile. Six barriers were associated with significantly higher odds of a respondent's clinic's Pi(2) scores being in the lowest versus highest decile, with the strongest associations for the difficulty recruiting and retaining providers (OR = 2.37) and non-provider clinicians (OR = 2.17). Results for medium versus low Pi(2) score clinics were similar, with fewer, smaller significant associations, all in the expected direction.

conclusionsA number of specific barriers and facilitators were associated with PCMH implementation, notably recruitment and retention of clinicians, team huddles, and local education. These findings can guide future research, and may help healthcare policy makers and leaders decide where to focus attention and limited resources.

Indexed as

Diffusion of InnovationPatient-Centered CareUnited States Department of Veterans AffairsAdministrative PersonnelCross-Sectional StudiesHumansLogistic ModelsPrimary Health CareSurveys and QuestionnairesUnited States

Identifiers

PMID26911135
PMCPMC4766632
OpenAlexW2287743767

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.