Evidence map›Paper›PMID 40161897›Full record

ArticleRisk management and healthcare policy2025

Examining the Impact of Availability and Accessibility of Community Benefit Provisions on County Health Outcomes.

Jinyoung Cha, Ahreum Han, Keon-Hyung Lee

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Jinyoung ChaThe Askew School of Public Administration and Policy, Florida State University, Tallahassee, FL, USA.ORCID 0009-0004-7785-209X
Ahreum HanDepartment of Health Care Administration, Trinity University, San Antonio, TX, USA.ORCID 0000-0001-6519-0579
Keon-Hyung LeeThe Askew School of Public Administration and Policy, Florida State University, Tallahassee, FL, USA.ORCID 0000-0003-1885-4314

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The recent rise of accountability in healthcare providers has spurred a keen interest in improving community benefit provisions and how these are associated with community health development. However, prior studies predominantly focus on the adequate amount of community benefit provisions (availability), disregarding the potential influence of distributional provisions (accessibility). To fill this gap, this study explores how the total amount (availability) and Blau's Index (accessibility) of community benefits are positively associated with county health outcomes. Methods: This study adopts a cross-sectional time series two-way fixed effect analysis from 2014 to 2019 for the county level. Independent variables are calculated as the total amount and Blau's Index of community benefit provisions in hospital referral regions (HRRs). Dependent variables are county health outcomes, measured by physical and mental unhealthy days and distress days. Results: The results demonstrated that both the availability and accessibility of community benefit provisions are correlated with lower physical and mental healthy days and distress. Remarkably, the accessibility of community benefit provisions by hospitals became pivotal to improving county health outcomes. Conclusion: From the theoretical aspects, it provides empirical evidence between community benefit provisions and community health outcomes and extends the theory of access into community benefit provisions. From the practical aspects, it offers invaluable insights for hospital managers and policymakers for their strategic decision-making to contribute to community health outcomes.

Indexed as

community benefit provisionscounty health outcomestheory of access

Identifiers

PMID40161897
PMCPMC11951929

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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.