Evidence map›Paper›PMID 39258637›Full record

ArticleRevista de saude publica2024

Trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, 2020-2022.

Hebert Luan Pereira Campos Dos Santos, Emmanuel Santos Trindade, Esly Rebeca Amaral Oliveira, Marcos Vinicius da Silva Cordeiro, Rian Silva de Oliveira, Elvira Caires de Lima, Adriano Maia Dos Santos, Nília Maria de Brito Lima Prado

Abstract read
In one paragraph

Article in Revista de saude publica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Hebert Luan Pereira Campos Dos SantosUniversidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil.ORCID http://orcid.org/0000-0003-2722-7945
Emmanuel Santos TrindadeUniversidade Estadual do Sudoeste da Bahia. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0009-0008-5878-596X
Esly Rebeca Amaral OliveiraUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde. Programa de Pós-Graduação em Psicologia da Saúde. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0000-0003-4875-7152
Marcos Vinicius da Silva CordeiroUniversidade Federal do Espírito Santo. Programa de Pós-Graduação em Saúde Coletiva. Vitória, ES, Brasil.ORCID http://orcid.org/0000-0002-8992-5514
Rian Silva de OliveiraUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde. Programa de Pós-Graduação em Saúde Coletiva. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0000-0002-2162-132X
Elvira Caires de LimaUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde. Programa de Pós-Graduação em Saúde Coletiva. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0000-0002-1332-5459
Adriano Maia Dos SantosUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde. Programa de Pós-Graduação em Saúde Coletiva. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0000-0001-9718-1562
Nília Maria de Brito Lima PradoUniversidade Federal da Bahia. Instituto Multidisciplinar em Saúde. Programa de Pós-Graduação em Saúde Coletiva. Vitória da Conquista, BA, Brasil.ORCID http://orcid.org/0000-0001-8243-5662

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo analyze the incompleteness and trend of incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death, in Brazil, between April 2020 and April 2022.

methodsEcological time series study on the incompleteness of the race/color variable in hospitalizations due to COVID-19 whose outcome was death in Brazil, its macro-regions and Federative Units (FU), by joinpoint regression, calculation of Monthly Percent Change (MPC) and Average Monthly Percent Change (AMPC), based on data from the Hospital Information System of the Unified Health System (SIH/SUS).

resultsThe incompleteness of the race/color variable in COVID-19 hospitalizations with a death outcome in Brazil was 25.85%, considered poor. All regions of the country had a poor degree of incompleteness, except for the South, which was considered regular. In the period analyzed, the joinpoint analysis revealed a stable trend in the incompleteness of the race/color variable in Brazil (AMPC = 0.54; 95%CI: -0.64 to 1.74; p = 0.37) and in the Southeast (AMPC = -0.61; 95%CI: -3.36 to 2.22; p = 0.67) and North (AMPC = 3.74; 95%CI: -0.14 to 7.78; p = 0.06) regions. The South (AMPC = 5.49; 95%CI: 2.94 to 8.11; p = 0.00002) and Northeast (AMP = 2.50; 95%CI: 0.77 to 4.25; p = 0.005) regions showed an increase in the incompleteness trend, while the Midwest (AMPC = -2.91 ; 95%CI: -5.26 to -0.51; p = 0.02) showed a downward trend.

conclusionThe proportion of poor completeness and the stable trend of incompleteness show that there was no improvement in the quality of filling in the race/color variable during the COVID-19 pandemic in Brazil, a fact that may have increased health inequalities for the black population and made it difficult to plan strategic actions for this population, considering the pandemic context. The results found reinforce the need to encourage discussion on the subject, given that the incompleteness of health information systems increases inequalities in access to health services and compromises the quality of health data.

Indexed as

COVID-19Healthcare DisparitiesHospitalizationBrazilHumansPandemicsRacial GroupsSocioeconomic Factors

Identifiers

PMID39258637
PMCPMC11548909

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.