ArticleBMJ open2022
Gendered impact of COVID-19 containment measures on unpaid care work and mental health in Europe: a scoping review protocol.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Unpaid caregiving and mental health during the COVID-19 pandemic-A systematic review of the quantitative literature.PloS one · 2024Pooled it
- Pandemic Fallout: Sustained Declines in Young People's Subjective Well-Being and Protective Factors in Switzerland.Social indicators research · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionWomen are more likely than men to provide unpaid care work. Previous research has shown that lack of support for various forms of unpaid care work and work-family conflicts have negative impacts on caregivers' mental health, especially among female caregivers. COVID-19 containment measures may exacerbate existing gender inequalities both in terms of unpaid care work and adverse mental health outcomes. This scoping review protocol describes the systematic approach to review published literature from March 2020 onwards to identify empirical studies and grey literature on the mental health impact of COVID-19 containment measures on subgroups of unpaid caregivers at the intersection of gender and other categories of social difference (eg, ethnicity, age, class) in Europe. METHODS AND ANALYSIS: This scoping review is informed and guided by Arksey and O'Malley's methodological framework. We will search the databases Medline, PsycINFO, Scopus, CINAHL, Social Sciences Abstracts, Sociological Abstracts as well as Applied Social Sciences Index & Abstracts (ASSIA) and hand-search reference lists of selected articles to identify relevant peer-reviewed studies. We will conduct a grey literature search using Google Scholar and targeted hand-search on known international and European websites and include reports, working papers, policy briefs and book chapters that meet the inclusion criteria. Studies that report gender-segregated findings for mental health outcomes associated with unpaid care work in the context of COVID-19 containment measures in Europe will be included. Two reviewers will independently screen all abstracts and full texts for inclusion, and extract general information, study characteristics and relevant findings. Results will be synthesized narratively. ETHICS AND DISSEMINATION: This study is a review of published literature; ethics approval is not warranted. The findings of this study will inform public health research and policy. The results will be disseminated through a peer-reviewed publication and conference presentations.
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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.