Evidence map›Paper›PMID 35749441›Full record

ArticlePloS one2022

Factors associated with the diagnosis of COVID-19 among Brazilian health professionals COVID-19 and health professionals.

Elucir Gir, Sheila Araújo Teles, Mayra Gonçalves Menegueti, Renata Karina Reis, Milton Jorge de Carvalho, Eliã Pinheiro Botelho, Laelson Rochelle Milanês Sousa, Hemilio Fernandes Campos Coelho, Fernanda Maria Pereira Ávila, Marli Teresinha Gimeniz Galvão and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. 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

12 authors at 7 institutions in 1 country.

Elucir GirRibeirão Preto School of Nursing, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Sheila Araújo TelesCollege of Nursing, Federal University of Goiás, Goiânia, Goiás, Brazil.
Mayra Gonçalves MeneguetiRibeirão Preto School of Nursing, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Renata Karina ReisRibeirão Preto School of Nursing, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Milton Jorge de CarvalhoDepartment of Gynecology and Obstetrics, College of Medicine of the ABC, Santo André, São Paulo, Brazil.
Eliã Pinheiro BotelhoFederal University of Pará, Belém, Pará, Brazil.
Laelson Rochelle Milanês SousaRibeirão Preto School of Nursing, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
Hemilio Fernandes Campos CoelhoDepartment of Statistics, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.
Fernanda Maria Pereira ÁvilaDepartment of Nursing Rio das Ostras, Fluminense Federal University, Rio das Ostras, Rio de Janeiro, Brazil.
Marli Teresinha Gimeniz GalvãoDepartment of Nursing, Federal University of Ceará, Fortaleza, Ceará, Brazil.
Wynne Pereira NogueiraPostgraduate Program in Nursing, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.
Ana Cristina de Oliveira E SilvaDepartment of Clinical Nursing, Federal University of Paraíba, João Pessoa, Paraíba, Brazil.ORCID 0000-0001-8605-5229
Universidade de Ribeirão Preto · BRUniversidade Federal da Paraíba · BRFaculdade de Medicina do ABC · BRUniversidade Federal de Goiás · BRUniversidade Federal do Ceará · BRUniversidade Federal do Pará · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHealth professionals are on the front lines against the Coronavirus 2019 (COVID-19) pandemic and are at high risk for acquiring the infection. Failures in precautionary measures, inadequacy/scarcity of Personal Protective Equipment (PPE), and lack of social and family distancing may be associated with increased exposure and contamination by the new coronavirus. This study investigated the prevalence of COVID-19 among Brazilian health professionals and associated factors according to demographic and occupational characteristics.

methodsA cross-sectional, analytical study was conducted using an online survey with 12,086 health professionals from all regions of Brazil. Data were collected using an adaptation of the respondent-driven sampling method for the virtual environment. The outcome variable was the diagnosis of COVID-19. Bivariate and multiple logistic regression analyzes were used to identify an association between the diagnosis of COVID-19 and demographic and occupational variables. Variables were considered statistically significant based on p<0.05.

resultsMost participants were female, from the northeast region, and nursing professionals. A prevalence of 31.95% (95%CI: 31.0%, 32.9%) of COVID-19 was estimated. Following multiple regression analysis, the variables associated with the diagnosis of COVID-19 among health professionals were: male gender, married individuals, professionals who provide care to patients with COVID-19, who work in a field hospital, and those who work in institutions that did not offer enough quality PPE.

conclusionsThe study found a high prevalence of COVID-19 infection, with male professionals being those with greater chances. Inadequate supply or poor quality of PPE offered by health institutions compromises the health of professionals with an increase in positive diagnosis for COVID-19.

Indexed as

COVID-19BrazilCross-Sectional StudiesFemaleHealth PersonnelHumansMalePandemicsPersonal Protective EquipmentSARS-CoV-2

Identifiers

PMID35749441
PMCPMC9231739
OpenAlexW4283448724

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.