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Cited by 412

The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.

Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysis

Open access
Saragih, Ita Daryanti, Tonapa, Santo Imanuel, Saragih, Ice Septriani, Advani, Shailesh, Batubara, Sakti Oktaria, Suarilah, Ira, Lin, Chia-Ju·2021·International Journal of Nursing Studies

Abstract

Background Healthcare 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. Objective This review aimed to systematically identify the mental health problems among healthcare workers in various countries during the COVID-19 pandemic. Design Systematic review and meta-analysis. Methods A 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 I2 statistic and Egger's test was used to assess publication bias. Results A 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. Conclusion This 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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Research works printed but not linked: 3

  1. Adelaide, 2020, Checklist for cohort studies: critical appraisal tools for use in JBI systematic reviews, JBI. Glob.
  2. Deying, 2020, Frontline nurses’ burnout, anxiety, depression, and fear statuses and their associated factors during the COVID-19 outbreak in Wuhan, China: a large-scale cross-sectional study, EClinicalMedicine
  3. Ramaci, 2020, Social stigma during COVID-19 and its impact on, HCWs Outcomes. Sustain., 12

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Metadata

Authors
Saragih, I. D., Tonapa, S. I., Saragih, I. S., Advani, S., Batubara, S. O., Suarilah, I., & Lin, C.-J.
Venue
International Journal of Nursing Studies
Publisher
Elsevier BV
Published
2021-09
Volume
121
Pages
104002
ISSN
0020-7489 (ISSN-L)
OpenAlex
W3168524471
Cited by
412
References
68
FWCI
11.27
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysis. https://app.cochat.ai/papers/10.1016/j.ijnurstu.2021.104002
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Saragih, I. D., Tonapa, S. I., Saragih, I. S., Advani, S., Batubara, S. O., Suarilah, I., & Lin, C.-J. (2021). Global prevalence of mental health problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysis. International Journal of Nursing Studies. https://doi.org/10.1016/j.ijnurstu.2021.104002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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