ArticleCadernos de saude publica2023
Racial inequality in health care of adults hospitalized with COVID-19.
Article in Cadernos de saude publica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Impact of Coronavirus Disease (COVID)-19 on the Indigenous Population of Brazil: A Systematic Review.Journal of racial and ethnic health disparities · 2026Pooled it
- Mapping the expressions and impacts of racism on health in Brazil: a scoping review.Lancet regional health. Americas · 2026Review
- Health disparities among indigenous populations in Latin America: a scoping review.International journal for equity in health · 2025Article
- Clinical and epidemiological profiles of confirmed malaria cases in the state of Pernambuco, Brazil, from 2001 to 2022.Revista da Sociedade Brasileira de Medicina Tropical · 2025Observational
- Spatial analysis of COVID-19 cases and deaths among nursing professionals.Revista latino-americana de enfermagem · 2025Article
- A particular epidemiological profile: disparities in access to contraceptive methods in Brazil during the SARS-CoV-2 (COVID-19) pandemic.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The objective was to analyze the association of race/skin color in health care, in adults hospitalized with severe acute respiratory syndrome (SARS)/COVID-19, between March 2020 and September 2022, with Brazil as the unit of analysis. This is a cross-sectional study that used the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) database and had a population composed of adults (≥ 18 years) and the final classification was SARS by COVID-19 or unspecified SARS. The direct effect of skin color on in-hospital mortality was estimated through logistic regression adjusted for age, gender, schooling level, health care system and period, stratified by vaccination status. This same model was also used to assess the effect of skin color on the variables related to access to health care services: intensive care unit (ICU), tomography, chest X-ray and ventilatory support. The results show that black, brown and indigenous people died more, regardless the schooling level and number of comorbidities, with 23%, 32% and 80% higher chances of death, respectively, when submitted to ventilatory support. Racial differences were observed in the use of health care services and in outcomes of death from COVID-19 or unspecified SARS, in which ethnic minorities had higher in-hospital mortality and lower use of hospital resources. These results suggest that black and indigenous populations have severe disadvantages compared to the white population, facing barriers to access health care services in the context of the COVID-19 pandemic.
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Registered trials
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.