Evidence map›Paper›PMID 40405553›Full record

ArticleHealth services research2025

Impact of Community Health Center Losses on County-Level Mortality: A Natural Experiment in the United States, 2011-2019.

Sanjay Basu, Robert Phillips, Hank Hoang

Abstract read
In one paragraph

Article in Health services research, 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. Review
  2. Article
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.

Sanjay BasuClinical Product Development, Waymark, San Francisco, California, USA.
Robert PhillipsCenter for Professionalism and Value in Health Care, American Board of Family Medicine, Washington, DC, USA.
Hank HoangU.S. Department of Health and Human Services, Health Resources and Services Administration, Rockville, Maryland, USA.ORCID https://orcid.org/0000-0001-8538-8515

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Testing combinations of population interventions to encourage healthy eatingR01DK116852 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHILLINGER, DEAN · 2018 to 2022
$3.7M
CDC HHS U18DP006526NCCDPHP CDC HHS U18 DP006526NIDDK NIH HHS P30 DK092924NIDDK NIH HHS R01 DK116852NIH HHS P30 DK092924NIH HHS R01DK116852
6 · The paper itself

Abstract

objectiveTo estimate the effect of Community Health Center (CHC) site losses on county-level mortality rates. STUDY SETTING AND

designWe conducted a natural experiment study using difference-in-differences analysis of propensity score-matched US counties from 2011 through 2019. DATA SOURCES AND ANALYTIC SAMPLE: The study included 3142 US counties, with 177 counties experiencing CHC site losses in 2014, per data from the health resources and services administration. PRINCIPAL

findingsLoss of CHC sites was associated with an increase in age-adjusted all-cause mortality of 3.54 deaths per 100 000 population (95% CI: 1.19, 5.90; p = 0.003) in the year following the loss. The largest increase was observed for cancer mortality (2.61 per 100 000; 95% CI: 0.59, 4.62; p = 0.011). Primary care physician density and patient volume loss both mediated the relationship.

conclusionsCHC site losses were associated with increases in mortality. Preserving CHC access may be important for maintaining population health, particularly in underserved areas.

Indexed as

Community Health CentersHealth Services AccessibilityMortalityAdultAgedFemaleHumansMaleMiddle AgedPropensity ScoreUnited Statescommunity health centersmortalityprimary carerace/ethnic disparities

Identifiers

PMID40405553
PMCPMC12461104

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.