Evidence map›Paper›PMID 40917448›Full record

ArticleSSM - population health2025

Minority-owned small businesses and employer-sponsored health insurance.

Melanie K Tran, Patrick M Krueger

Abstract read
In one paragraph

Article in SSM - population health, 2025. 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

2 authors.

Melanie K TranUniversity of Colorado Denver, Department of Health & Behavioral Sciences, 1201 Larimer St, Denver, CO, 80217, USA.
Patrick M KruegerUniversity of Colorado Denver, Department of Health & Behavioral Sciences, 1201 Larimer St, Denver, CO, 80217, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Employer-sponsored health insurance (ESI) is a primary source of health coverage for working-aged adults in the U.S. Although most larger employers offer ESI, 46% of U.S. workers are employed by small businesses, which offer ESI at less than half the rate of large businesses. We extend prior research by examining detailed racial/ethnic ownership of small businesses and trends in offering ESI throughout the rollout of the Affordable Care Act's (ACA) small business policies. We use restricted data from the Census Bureau's 2012 Survey of Business Owners and the 2014-2016 waves of the Annual Survey of Entrepreneurs. Binary logistic regression allows us to examine whether the racial/ethnic composition of the business owners is associated with offering ESI, within each of the four waves of data. Finally, we plot the fitted percentage of small businesses that offer ESI across time and racial/ethnic ownership status, while adjusting for owner and firm characteristics. The majority of small businesses do not offer ESI. Further, disparities are substantial. In 2012, just 41% of White-owned small businesses offer ESI, compared to 26% of Black-, 26% of Asian-, and 23% of Hispanic-owned small businesses. These disparities fail to improve across years when the ACA incentives were implemented. Policies that recognize and address differences in ESI among small businesses, especially among Black-, Asian-, and Hispanic-owned small businesses, could strengthen healthcare systems and access to care in communities where minority-owned small businesses and their employees are located.

Indexed as

Employee health benefit plansEthnic and racial minoritiesHealth disparitiesHealth insurancePatient protection and affordable care actPopulation healthSmall business

Identifiers

PMID40917448
PMCPMC12410354

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.