Evidence map›Paper›PMID 41716212›Full record

ArticleFrontiers in public health2025

Experiences of discrimination and their impact on healthcare utilization: non-uptake of covid-19 vaccination.

Nathalie Bajos, Alexis Spire, Antoine Sireyjol

Abstract read
In one paragraph

Article in Frontiers in public 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

3 authors.

Nathalie BajosInstitut de Recherche Interdisciplinaire sur les Enjeux Sociaux (IRIS), Institut National de la Santé et de la Recherche Médicale (INSERM), Aubervilliers, Paris, France.
Alexis SpireCNRS, Paris, France.
Antoine SireyjolInstitut de Recherche Interdisciplinaire sur les Enjeux Sociaux (IRIS), Institut National de la Santé et de la Recherche Médicale (INSERM), Aubervilliers, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article examines the relationship between experiences of discrimination and COVID-19 vaccine non-uptake, with particular attention to the domains in which discrimination occurs (healthcare, employment, housing, and public services) and to the frequency of such experiences. Methods: The analysis draws on the most recent wave of the Epidemiology and Living Conditions (EpiCov) cohort survey, conducted in October 2022, which included 65,403 adults living in metropolitan France. Results: Although the vast majority of the population in France ultimately received the COVID-19 vaccine, a significant minority remained reluctant to take advantage of this free and widely accessible intervention. Our findings indicate that past experiences of discrimination exerted both specific and cumulative effects on vaccination behavior: discrimination encountered in interactions with healthcare professionals and public services had a stronger influence on non-vaccination than discrimination related to employment or housing. Moreover, the frequency of discriminatory experiences was positively associated with vaccine non-uptake. Importantly, these associations were not limited to racialized minorities. Conclusions: By adopting a broad perspective on discrimination, the study demonstrates that feelings of social exclusion contribute to vaccine non-uptake across all social groups.

Indexed as

COVID-19COVID-19 VaccinesPatient Acceptance of Health CareSocial DiscriminationVaccinationAdultFemaleFranceHumansMaleMiddle AgedUnvaccinated PersonsCOVID-19 VaccinesCOVID-19discriminationFrancesocial inequalitiesvaccination

Identifiers

PMID41716212
PMCPMC12915329

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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.