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Ethn Health ; 28(4): 488-502, 2023 05.
Artigo em Inglês | MEDLINE | ID: mdl-35608907

RESUMO

Substantial research has shown that the population distribution of major depressive disorder (MDD) is strongly influenced by race, gender, and socioeconomic position. However, a deeper understanding of inequities in access to care for MDD according to these social markers is yet to be reached. We use data from the 2019 Brazilian National Health Survey, which includes 87,187 respondents aged 18 years and over, to test two hypotheses derived from the inverse care law: women, Black, and low-education respondents have higher frequencies of MDD, but lower access to each step of the depression care cascade, including diagnosis by a health professional, regular healthcare visits, and access to specialised treatment (H1); low-education Black women show the highest MDD frequency and the lowest access to care across the entire cascade (H2). Partially supporting H1 and H2, our results reveal a bottleneck in the first step of the depression care cascade. While no racial inequities were observed in the MDD prevalence, Black individuals were less likely than whites to be diagnosed by a health professional (OR 0.74). Women (OR 2.64) and low-education (OR 1.18) were more likely to have probable MDD in relation to men and high-education respondents, respectively, but only women (OR 1.58) were more likely to be diagnosed. Low-education Black women were equally more likely to have probable MDD (OR 3.11) than high-education white men. Conversely, high-education white women emerged as the most likely to be diagnosed with MDD (OR 1.63). Our findings suggest the inverse care law applies to the depression care cascade in Brazil through indication that its healthcare system perpetuates a multilayered system of oppression that overlooks multiply marginalised individuals. We also show that adequate screening by health care professionals should mitigate the complex patterns of inequity revealed by our study.


Assuntos
Transtorno Depressivo Maior , Acessibilidade aos Serviços de Saúde , Disparidades em Assistência à Saúde , Determinantes Sociais da Saúde , Adolescente , Adulto , Feminino , Humanos , Masculino , População Negra/estatística & dados numéricos , Brasil/epidemiologia , Depressão/diagnóstico , Depressão/epidemiologia , Depressão/etnologia , Depressão/terapia , Transtorno Depressivo Maior/diagnóstico , Transtorno Depressivo Maior/epidemiologia , Transtorno Depressivo Maior/etnologia , Transtorno Depressivo Maior/terapia , Enquadramento Interseccional , Determinantes Sociais da Saúde/estatística & dados numéricos , Disparidades em Assistência à Saúde/estatística & dados numéricos , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Fatores Sexuais , Escolaridade
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