Evidence map›Paper›PMID 40672882›Full record

ArticleHealth affairs scholar2025

Income, health, and racial gaps between 340B hospitals, child sites, and nearby neighborhoods.

Neal Masia, Darren Filson, Silas Martin, Ulrich Neumann

Abstract read
In one paragraph

Article in Health affairs scholar, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Neal MasiaHealth Capital Group, LLC, Princeton, NJ 08540, United States.ORCID https://orcid.org/0009-0007-2438-6058
Darren FilsonRobert Day School of Economics and Finance, Claremont McKenna College, Claremont, CA 91711, United States.ORCID https://orcid.org/0000-0003-3632-3146
Silas MartinScientific Affairs, Johnson & Johnson, Titusville, NJ 08560, United States.ORCID https://orcid.org/0009-0003-6117-2519
Ulrich NeumannScientific Affairs, Johnson & Johnson, Titusville, NJ 08560, United States.ORCID https://orcid.org/0000-0001-8525-9334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To estimate neighborhood differences between 340B child sites, parent hospital covered entities (CEs), and other neighborhoods near CEs. Methods: We created a unique dataset that contains CE and child site characteristics, and Zip Code Tabulation Area (ZCTA) socioeconomic and health data in 2022 for over 12 000 out-of-ZCTA code 340B hospital child sites. We computed differences across key measures, including median income, uninsured and unemployment rates, age, and health metrics between each pair and between the child site's ZCTA and all other ZCTAs within a 10-mile radius of the CE. Results: The median child-site ZCTA income is 28% higher than CE ZCTA income and approximately 11% higher than CE neighborhood ZCTA income. Uninsured rates (11% lower than CE ZCTA and 10% lower than CE neighborhood ZCTA) and unemployment rates (17% and 15% for CE ZCTA and CE neighborhood ZCTA, respectively) are lower in child-site areas and where the share of White residents is higher (11% and 9%, respectively). Average health status is better in child-site ZCTAs despite a higher median age. Conclusion: Our analysis suggests that 340B entities place child sites in neighborhoods that are wealthier, healthier, better insured, and less diverse than the neighborhoods of both the CE and other neighborhoods within a 10-mile radius of the CE.

Indexed as

340B Drug Purchasing Programhealth disparitieshealth policyhospital economics

Identifiers

PMID40672882
PMCPMC12266128

What OpenQuestion holds

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LicenceCC BY
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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.