Evidence map›Paper›PMID 42803403›Full record

ArticleMedical care research and review : MCRR2026

Community Characteristics Associated With Health System Penetration.

Haoyu Bi, Mark Louie Ramos, Jeannette A Rogowski, Charleen Hsuan

Abstract read
In one paragraph

Article in Medical care research and review : MCRR, 2026. 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.

Haoyu BiThe Pennsylvania State University, University Park, USA.ORCID 0000-0002-9356-8919
Mark Louie RamosThe Pennsylvania State University, University Park, USA.ORCID 0000-0002-5069-2397
Jeannette A RogowskiThe Pennsylvania State University, University Park, USA.ORCID 0000-0002-1078-8749
Charleen HsuanThe Pennsylvania State University, University Park, USA.ORCID 0000-0001-8720-2323

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
Structural Racism and Discrimination in Emergency Department Transfers: Unintended Consequences of the Emergency Medical Treatment and Labor Act (EMTALA)R01MD017495 · NIMHD · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHARLEEN HSUAN · 2022 to 2026
$3.3M
NCATS NIH HHS UL1 TR002014NIMHD NIH HHS R01 MD017495
6 · The paper itself

Abstract

Health systems have become a dominant form of health care organization in the United States, yet little is known about how their presence varies across communities. This study examined the association between the community-level characteristics and health system penetration, defined as the percentage of general acute care hospital beds affiliated with a health system in a geographic market. We found that communities with higher health system penetration tended to have lower levels of competition. In rural areas, greater insurance coverage was associated with greater penetration. In urban areas, communities without health system presence were more likely to have larger Black populations relative to White populations. However, among communities with some system presence, those with larger Black populations tended to have higher levels of penetration. Policymakers should adopt context-specific policies that encourage investment in underserved communities, promote equitable access to high-quality care, and guard against the potential adverse effects of consolidation.

Indexed as

health disparitieshealth systemunderserved area

Identifiers

PMID42803403
PMCPMC13622977

What OpenQuestion holds

Textmetadata
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.