Evidence mapPaperPMID 41350994Full record

Observational studyBMC health services research2025

Racial inequalities in access to healthcare services in Brazil (2019): a decomposition analysis.

Rony Coelho, Matías Mrejen, Lucas Falcão, Rudi Rocha, Thomas Hone

Abstract readObservational Study
In one paragraph

Observational study in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
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

5 authors.

Rony CoelhoInstituto de Estudos para Políticas de Saúde, São Paulo, Brazil.
Matías MrejenRené Rachou Institute, Fundação Oswaldo Cruz (Fiocruz), Belo Horizonte, Brazil.
Lucas FalcãoInstituto de Estudos para Políticas de Saúde, São Paulo, Brazil.
Rudi RochaInstituto de Estudos para Políticas de Saúde, São Paulo, Brazil.
Thomas HoneInstituto de Estudos para Políticas de Saúde, São Paulo, Brazil. t.hone@imperial.ac.uk.

Funding

National Institute for Health and Care Research NIHR133252
6 · The paper itself

Abstract

backgroundRacial and ethnic inequalities in access to healthcare services pose a significant challenge for many countries, with ethnic minorities and Afro-descendants frequently experiencing poorer access to services and health outcomes. However, little is known about the factors that drive racial inequalities in access to healthcare, especially in low- and middle-income countries.

methodsThis is a cross-sectional, observational study that uses data from the National Health Survey (2019) in Brazil and assesses the contribution of predisposing, facilitating, and need-for-care factors to inequalities in healthcare access between White, Black and Pardo (Brown) Brazilians. The Oaxaca-Blinder method was used to separate differences between racial groups into explained and unexplained determinants. Variables included in the models were age, sex, marital status, family size and composition, access to sanitation, health insurance, primary care coverage, income quintile, employment status, education, and self-rated health status.

resultsThe responses from 204,918 individuals were analysed. White Brazilians reported better access to healthcare and medications than Black or Pardo Brazilians, with the largest racial inequalities in unmet needs for healthcare services and access to medication. Racial inequalities are mostly explained by observable factors (between 35% and 87%), most notably the access to financial resources (income and access to private health insurance). Being covered by the Family Health Program and higher levels of education were associated with reduced inequalities between racial groups. The unexplained portion of inequalities was the greatest when comparing Black and White individuals, implying that factors beyond socioeconomic status likely drive these inequalities including community, cultural or behavioural factors, and inequalities and bias in healthcare services.

conclusionsWhile investments in universal healthcare and education may be important for reducing racial inequalities in access to healthcare, better understanding of cultural and contextual factors and targeted public policies and services interventions for addressing racial inequalities are needed.

Indexed as

Healthcare DisparitiesHealth Services AccessibilityRacial GroupsAdolescentAdultAgedBlack PeopleBrazilCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedSocioeconomic FactorsWhite PeopleDiscriminationHealthcare accessRacial inequalitiesSocioeconomic factors

Identifiers

PMID41350994
PMCPMC12681149

What Socratic 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 Socratic graph.