Evidence map›Paper›PMID 33976080›Full record

ArticleMedical care2021

County-level Predictors of Growth in Community-based Primary Care Use Among Veterans.

Sarah H Gordon, Erin Beilstein-Wedel, Amy K Rosen, Tianyu Zheng, Alan Taylor Kelley, James Cook, Sarah S Zahakos, Todd H Wagner, Megan E Vanneman

Open access · hybridAbstract read
In one paragraph

Article in Medical care, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. "Hit or Miss": Rural Veterans' Experiences Receiving Community Mental Health Care.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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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

9 authors at 6 institutions in 2 countries.

Sarah H GordonPartnered Evidence-Based Policy Resource Center, VA Boston Medical Center.
Erin Beilstein-WedelCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System.
Amy K RosenCenter for Healthcare Organization and Implementation Research, VA Boston Healthcare System.
Tianyu ZhengInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System.
Alan Taylor KelleyInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System.
James CookInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System.
Sarah S ZahakosDepartment of Health Law, Policy, and Management, Boston University School of Public Health.
Todd H WagnerHealth Economics Resource Center, VA Palo Alto Health Care System, Menlo Park CA.
Megan E VannemanInformatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City Health Care System.
Boston Medical Center · USBoston University · USVA Boston Healthcare System · USGeneral Department of Preventive Medicine · VNUniversity of Utah · USVA Salt Lake City Healthcare System · US

Funding

Make Versus Buy- Examining the Evidence on Access, Utilization and Cost: Are We Buying the Right Care for the Right Amount?I01HX002646 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ROSEN, AMY K, VANNEMAN, MEGAN ENFIELD · 2019 to 2021
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HSR&D Senior Research Career Scientist AwardIK6HX002839 · VA · VA BOSTON HEALTH CARE SYSTEM · PI AMY K ROSEN · 2020 to 2027
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HSRD VA I01 HX002646HSRD VA IK2 HX002625HSRD VA IK6 HX002839
6 · The paper itself

Abstract

backgroundThe 2014 Choice Act expanded the Veterans Health Administration's (VA) capacity to purchase services for VA enrollees from community providers, yet little is known regarding the growth of Veterans' primary care use in community settings.

objectivesThe aim was to measure county-level growth in VA community-based primary care (CBPC) penetration following the Choice Act and to assess whether CBPC penetration increased in rural counties with limited access to VA facilities. DATA AND SAMPLE: A total of 3132 counties from VA administrative data from 2015 to 2018, Area Health Resources Files, and County Health Rankings. ANALYSIS: We defined the county-level CBPC penetration rate as the proportion of VA-purchased primary care out of all VA-purchased primary care (ie, within and outside VA). We estimated county-level multivariate linear regression models to assess whether rurality and supply of primary care providers and health care facilities were significantly associated with CBPC growth.

resultsNationally, CBPC penetration rates increased from 2.7% in 2015 to 7.3% in 2018. The rurality of the county was associated with a 2-3 percentage point (pp) increase in CBPC penetration growth (P<0.001). The presence of a VA facility was associated with a 1.7 pp decrease in CBPC penetration growth (P<0.001), while lower primary care provider supply was associated with a 0.6 pp increase in CBPC growth (P<0.001).

conclusionCBPC as a proportion of all VA-purchased primary care was small but increased nearly 3-fold between 2015 and 2018. Greater increases in CBPC penetration were concentrated in rural counties and counties without a VA facility, suggesting that community care may enhance primary care access in rural areas with less VA presence.

Indexed as

AdultAgedCommunity Health ServicesFemaleHealth Plan ImplementationHealth Services AccessibilityHumansMaleMiddle AgedPatient Acceptance of Health CarePatient Freedom of Choice LawsPrimary Health CareRural PopulationUnited StatesUnited States Department of Veterans AffairsUrban Population

Identifiers

PMID33976080
PMCPMC8132896
OpenAlexW3162982622

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.