Evidence map›Paper›PMID 39385280›Full record

ArticleInternational journal for equity in health2024

Gender sensitivity of the COVID-19 mental health research in Europe: a scoping review.

Mayte López-Atanes, Margarita Sáenz-Herrero, Nele Zach, Meret Lakeberg, Asier Ugedo, Elisa Fraile-García, Leire Erkoreka, Rafael Segarra, Ingo Schäfer, Tilman Brand

Abstract readScoping Review
In one paragraph

Article in International journal for equity in health, 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

10 authors.

Mayte López-AtanesCenter for Interdisciplinary Addiction Research, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. m.lopezatanes@centra.hamburg.
Margarita Sáenz-HerreroUniversity of the Basque Country UPV/EHU, Leioa, Spain.
Nele ZachLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Meret LakebergLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Asier UgedoPsychiatry Service, Barrualde Galdakao Integratet Health Organization, Galdakao, Spain.
Elisa Fraile-GarcíaCruces University Hospital, Barakaldo, Spain.
Leire ErkorekaUniversity of the Basque Country UPV/EHU, Leioa, Spain.
Rafael SegarraUniversity of the Basque Country UPV/EHU, Leioa, Spain.
Ingo SchäferCenter for Interdisciplinary Addiction Research, Department of Psychiatry and Psychotherapy, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Tilman BrandLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe integration of sex and gender aspects into the research process has been recognized as crucial to the generation of valid data. During the coronavirus pandemic, a great deal of research addressed the mental state of hospital staff, as they constituted a population at risk for infection and distress. However, it is still unknown how the gender dimension was included. We aimed to appraise and measure qualitatively the extent of gender sensitivity.

methodsIn this scoping review, we searched MEDLINE, EMBASE, CINAHL PsycINFO and Social Sciences Citation Index (SSCI) from database inception to November 11, 2021. All quantitative studies with primary data published in English, German, or Spanish and based in the European Union were selected. Included studies had to have assessed the mental health of hospital staff using validated psychometric scales for depression, anxiety, PTSD symptoms, distress, suicidal behavior, insomnia, substance abuse or aggressive behavior. Two independent reviewers applied eligibility criteria to each title/abstract reviewed, to the full text of the article, and performed the data extraction. A gender sensitivity assessment tool was developed and validated, consisting of 18 items followed by a final qualitative assessment. Two independent reviewers assessed the gender dimension of each included article.

resultsThree thousand one hundred twelve studies were identified, of which 72 were included in the analysis. The most common design was cross-sectional (75.0%) and most of them were conducted in Italy (31.9%). Among the results, only one study assessed suicidal behaviors and none substance abuse disorders or aggressive behaviors. Sex and gender were used erroneously in 83.3% of the studies, and only one study described how the gender of the participants was determined. Most articles (71.8%) did not include sex/gender in the literature review and did not discuss sex/gender-related findings with a gender theoretical background (86.1%). In the analysis, 37.5% provided sex/gender disaggregated data, but only 3 studies performed advanced modeling statistics, such as interaction analysis. In the overall assessment, 3 papers were rated as good in terms of gender sensitivity, and the rest as fair (16.7%) and poor (79.2%). Three papers were identified in which gender stereotypes were present in explaining the results. None of the papers analyzed the results of non-binary individuals.

conclusionsStudies on the mental health of hospital staff during the pandemic did not adequately integrate the gender dimension, despite the institutional commitment of the European Union and the gendered effect of the pandemic. In the development of future mental health interventions for this population, the use and generalizability of current evidence should be done cautiously.

Indexed as

COVID-19Mental HealthEuropeFemaleHumansMalePandemicsSARS-CoV-2Sex Factors

Identifiers

PMID39385280
PMCPMC11465889

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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.