Evidence map›Paper›PMID 37069533›Full record

ArticleBMC psychiatry2023

Impact of the COVID-19 pandemic on the mental health of frontline healthcare workers in a highly affected region in Brazil.

Mírian Cohen, Luciane Nascimento Cruz, Ricardo Bertoglio Cardoso, Maria de Fátima Pessoa Militão de Albuquerque, Ulisses Ramos Montarroyos, Wayner Vieira de Souza, Ana Bernarda Ludermir, Maria Rosimery de Carvalho, Julianne Damiana da Silva Vicente, Marcelo Paulino Viegas Filho and 9 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

19 authors.

Mírian CohenGraduate Studies Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Ramiro Barcelos St, 2400, 2nd fl, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil. mirian.cohen@22c.com.br.ORCID 0000-0001-9602-0206
Luciane Nascimento CruzNational Institute of Science and Technology for Health Technology Assessment (IATS), Porto Alegre, Rio Grande do Sul, Brazil.
Ricardo Bertoglio CardosoGraduate Studies Program in Epidemiology, Federal University of Rio Grande do Sul (UFRGS), Ramiro Barcelos St, 2400, 2nd fl, Porto Alegre, Rio Grande do Sul, 90035-003, Brazil.
Maria de Fátima Pessoa Militão de AlbuquerqueInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Ulisses Ramos MontarroyosUniversity of Pernambuco, Recife, Pernambuco, Brazil.
Wayner Vieira de SouzaInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Ana Bernarda LudermirFederal University of Pernambuco, Recife, Pernambuco, Brazil.
Maria Rosimery de CarvalhoInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Julianne Damiana da Silva VicenteFederal University of Pernambuco, Recife, Pernambuco, Brazil.
Marcelo Paulino Viegas FilhoFederal University of Pernambuco, Recife, Pernambuco, Brazil.
Fanny Julia Mireille CortesNational Institute of Science and Technology for Health Technology Assessment (IATS), Porto Alegre, Rio Grande do Sul, Brazil.
Marina Teixeira de Siqueira SilvaInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Carla Menezes Cavalcante AlmeidaInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Luana Nepomuceno Gondim Costa LimaUniversity of Pará State, Belém, Pará, Brazil.
Maria Amelia de Sousa Mascena VerasFaculty of Medical Sciences, Santa Casa de São Paulo, São Paulo, Brazil.
Carl KendallDepartment of Community Health, Federal University of Ceará, Fortaleza, Ceará, Brazil.
Ligia Regina Franco Sansigolo KerrDepartment of Community Health, Federal University of Ceará, Fortaleza, Ceará, Brazil.
Celina Maria Turchi MartelliInstitute Aggeu Magalhães, FIOCRUZ-PE, Recife, Pernambuco, Brazil.
Suzi Alves CameyStatistics Department, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic had a major impact on the mental health of healthcare workers (HCWs), especially in low and middle-income countries, which had to face additional political, social, and economic challenges. We thus aimed to assess the prevalence of mental health outcomes and the associated factors in HCWs treating COVID-19 patients in one of the most affected regions in Brazil.

methodsWe used the Respondent-Driven Sampling method to assess the risks of COVID-19 infection and symptoms of mental disorders in nurses, nursing technicians, and physicians who worked on the frontline in the metropolitan region of Recife. 865 healthcare workers completed a survey regarding sociodemographic data, work-related risks, and symptoms of mental disorders - SRQ-20 for common mental disorders (CMD); AUDIT-C for problematic alcohol use; GAD-7 for anxiety; PHQ-9 for depression; PCL-5 for post-traumatic stress disorder (PTSD). Gile's successive sampling estimator was used to produce the weighted estimates by professional category. A Poisson regression model with robust variance was used to analyze factors associated with a positive screening for CMD. We will present the results of a cross-sectional analysis of the mental health outcomes after the first peak of COVID-19 - from August 2020 to February 2021.

resultsThe prevalence ratios for a positive screening for CMD were 34.9% (95% CI: 27.8-41.9) in nurses, 28.6% (95% CI: 21.3-36.0) in physicians, and 26.6% (95% CI: 16.8-36.5) in nursing technicians. Nurses presented a higher prevalence of depressive symptoms (23%). Positive screening for problematic alcohol use (10.5 to14.0%), anxiety (10.4 to 13.3%), and PTSD (3.3 to 4.4%) were similar between the professional categories. The main factors associated with CMD in nurses and physicians were related to an intrinsic susceptibility to mental illness, such as previous or family history of psychiatric disorder, and female sex. Among nurse technicians, work-related factors, such as accidents with biological material, presented the strongest association with CMD.

conclusionThe mental health of HCWs fighting COVID-19 in Recife was severely affected. It is crucial that healthcare services provide adequate working conditions and psychological support, investing in programs to promote and protect HCWs mental health.

Indexed as

COVID-19Health PersonnelMental DisordersPandemicsAdultAnxietyBrazilCross-Sectional StudiesDepressionFemaleHumansMaleStress Disorders, Post-TraumaticSurveys and QuestionnairesAnxietyCOVID-19DepressionHealthcare workersMental healthPTSD.

Identifiers

PMID37069533
PMCPMC10107551

What OpenQuestion holds

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LicenceCC BY
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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.