Evidence map›Paper›PMID 42243674›Full record

ArticleBMC primary care2026

Primary care attributes among public health service users and perceived discrimination based on sexual orientation in Brazilian municipalities: evidences from ELSI-Brazil.

Juliana Lustosa Torres, Gabriela Pérsio Gonçalves, Lucas Leonardo Knupp Dos Santos, Maria Fernanda Lima-Costa, Samuel Araújo Gomes da Silva

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Article in BMC primary care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Juliana Lustosa TorresDepartamento de Medicina Preventiva e Social, Universidade Federal de Minas Gerais, Professor Alfredo Balena Avenue 190, Belo Horizonte, Minas Gerais, 30.130-100, Brazil. jlt.fisioufmg@hotmail.com.ORCID http://orcid.org/0000-0002-3687-897X
Gabriela Pérsio GonçalvesMédica de Família e Comunidade da Estratégia de Saúde da Família, em Belo Horizonte, Minas Gerais, Brazil.
Lucas Leonardo Knupp Dos SantosDepartamento de Saúde Coletiva, Faculdade Ciências Médicas, Belo Horizonte, Minas Gerais, Brazil.
Maria Fernanda Lima-CostaNúcleo de Estudos em Saúde Pública e Envelhecimento, Universidade Federal de Minas Gerais e Fundação Oswaldo Cruz, Belo Horizonte, Minas Gerais, Brazil.
Samuel Araújo Gomes da SilvaCIDACS/Fiocruz-BA, Salvador, Bahia, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of primary care on reducing discrimination is still unknown in Brazil. This study aimed to assess the association between problems in primary care attributes and discrimination based on sexual orientation in Brazilian municipalities perceived by adults aged 50 years and over who exclusively use the public health services.

methodsCross-sectional nationally representative study derived from the Brazilian Longitudinal Study of Aging (ELSI-Brazil), conducted in 2019-21, summing 6,663 participants who exclusively use the public health system. The outcome was the self-reported perceived discrimination based on sexual orientation in Brazilian municipalities. The number of problems in primary care attributes, up to 12, included situations related to primary care attributes (access; continuity of care; communication; and care coordination and resolution). Logistic Regression models were used in the statistical analysis, adjusted for sociodemographic characteristics, prior discrimination experience, municipality size, Family Health Strategy coverage, and participation in outside activities.

resultsPerceived discrimination based on sexual orientation in Brazilian municipalities was associated with experiencing ≥ 5 problems in primary care attributes (OR = 1.52; 95%CI 1.02; 2.28), after accounting for all covariates. We identified statistically significant negative interactions for both prior discrimination experience and Family Health Strategy coverage, where the observed joint effect (OR = 2.41, 95%CI 1.41; 4.10 and OR = 1.56, 95%CI 0.82; 2.97, respectively) were lower than the expected joint effect.

conclusionsThe findings highlight the critical role of high-quality, accessible, and responsive primary care in mitigating perceived inequities, particularly among users of the public health system. Although the Family Health Strategy and prior discrimination experience attenuate this association, municipality size and number of medical appointments are not key factors and further research is needed to elucidate the specific mechanisms.

Indexed as

Primary Health CareSexual BehaviorAccess to Primary CareAgedBrazilCross-Sectional StudiesFemaleHealth Services AccessibilityHumansLongitudinal StudiesMaleMiddle AgedDelivery of Health CareSexual and Gender MinoritiesSocial Discrimination

Identifiers

PMID42243674
PMCPMC13459368

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LicenceCC BY-NC-ND
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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.