SynthesisInternational journal of nursing studies2021
Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysis.
Synthesis in International journal of nursing studies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 233 papers, 20 of them syntheses that pooled it.
What it found
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The trial behind it
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Who cites it
233 citing papers in PubMed, 20 syntheses or guidelines pooled it, 406 citations in OpenAlex.
- Exploring Individual and Organisational Factors Related to Inclusive Leadership Among Healthcare Professionals: A Systematic Review and Meta-Analysis.Journal of advanced nursing · 2026Pooled it
- The impact of COVID-19 self-isolation on healthcare workers' psychological wellbeing: a systematic review.Occupational medicine (Oxford, England) · 2026Pooled it
- Digital health interventions for reducing occupational burnout in nurses: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Risk factors associated with mental health symptoms among health care workers during the COVID-19 pandemic in EMRO countries: a systematic review.BMC health services research · 2025Pooled it
- Perceived need and help-seeking for psychosocial support among health and social care professionals: a systematic review and meta-analysis.BMC health services research · 2025Pooled it
- The Prevalence and Determinants of Mental Health Problems in Lebanon: A Meta-Analytic Study of 3957 Healthcare Workers.Turk psikiyatri dergisi = Turkish journal of psychiatry · 2025Pooled it
- An umbrella review of the prevalence of depression during the COVID-19 pandemic: Call to action for post-COVID-19 at the global level.BMC public health · 2024Pooled it
- Estimation of the prevalence of anxiety during the COVID-19 pandemic: A meta-analysis of meta-analyses.BMC public health · 2024Pooled it
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- Depressive and anxiety symptoms amid COVID-19 pandemic among healthcare workers in a low-resource setting: a systematic review and meta-analysis from Ethiopia.Frontiers in psychiatry · 2024Pooled it
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- Effects of Web-Based Mindfulness-Based Interventions on Anxiety, Depression, and Stress Among Frontline Health Care Workers During the COVID-19 Pandemic: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2023Pooled it
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- COVID-19 and common mental health symptoms in the early phase of the pandemic: An umbrella review of the evidence.PLoS medicine · 2023Pooled it
- Impact of the COVID-19 pandemic on the mental health of hospital staff: An umbrella review of 44 meta-analyses.International journal of nursing studies · 2022Pooled it
- COVID-19 pandemic-related mortality, infection, symptoms, complications, comorbidities, and other aspects of physical health among healthcare workers globally: An umbrella review.International journal of nursing studies · 2022Pooled it
- COVID-19 depression and its risk factors in Asia Pacific - A systematic review and meta-analysis.Journal of affective disorders · 2022Pooled it
- COVID-19 pandemic effects on health worker's mental health: Systematic review and meta-analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2022Pooled it
- Prevalence of Depression and Anxiety in Nurses during the First Eleven Months of the COVID-19 Pandemic: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
173 more citing papers are in PubMed but not listed here.
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 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHealthcare workers are at high risk of developing mental health issues during the coronavirus disease 2019 (COVID-19) pandemic. However, there is a need for a full picture of mental health problems with comprehensive analysis among healthcare workers during the COVID-19 pandemic.
objectiveThis review aimed to systematically identify the mental health problems among healthcare workers in various countries during the COVID-19 pandemic.
designSystematic review and meta-analysis.
methodsA systematic literature search was performed of the following databases: PubMed, Academic Search Complete, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, MEDLINE Complete, and SocINDEX. The last date of our search was November 2, 2020. We included all cohort, case-control and cross-sectional studies and used the Joanna Briggs Institute tool to assess their quality. A meta-analysis was performed to synthesize the pooled prevalence of mental health problems using a random-effects model. Heterogeneity was measured using the I
resultsA total of 38 studies were identified that reported the mental health problems of healthcare workers during the COVID-19 pandemic. The distribution of healthcare workers analyzed in this review included 27.9% doctors, 43.7% nurses, and 7.0% allied health workers. The pooled prevalence of mental health problems for post-traumatic stress disorder, anxiety, depression, and distress was 49% (95% confidence interval [CI]: 22-75%), 40% (95% CI: 29-52%), 37% (95% CI: 29-45%), and 37% (95% CI: 25-50%), respectively.
conclusionThis review yielded evidence that estimated the global prevalence of mental health problems among healthcare workers during the COVID-19 pandemic. Post-traumatic stress disorder was the most common mental health disorder reported by healthcare workers during the COVID-19 pandemic, followed by anxiety, depression, and distress. Additional studies remain necessary to assess the appropriate management strategies for treating and preventing mental health disorders among healthcare workers during the pandemic.
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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.