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 accessAbstract
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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1 retracted
Huang, Y., & Zhao, N. (2021) · Psychology, Health & Medicine · doi:10.1080/13548506.2020.1754438 · Cited by 307
RetractedPreferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P. A., Clarke, M., Devereaux, P. J., Kleijnen, J., & Moher, D. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000100 · Cited by 28,164
Wang, G., Ma, R., Qiao, G., Wada, K., Aizawa, Y., & Satoh, T. (2015) · Integrative Medicine International · doi:10.1159/000368408 · Cited by 18,657
Lai, J., Ma, S., Wang, Y., Cai, Z., Hu, J., Wei, N., Wu, J., Du, H., Chen, T., Li, R., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.3976 · Cited by 8,015
Assessing heterogeneity in meta-analysis: Q statistic or I² index?
Huedo-Medina, T. B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.2.193 · Cited by 4,256
Funnel plots for detecting bias in meta-analysis
Sterne, J. A. C., & Egger, M. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00377-8 · Cited by 3,779
Huang, Y., & Zhao, N. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.112954 · Cited by 3,736
Research works printed but not linked: 3
- Adelaide, 2020, Checklist for cohort studies: critical appraisal tools for use in JBI systematic reviews, JBI. Glob.
- 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
- Ramaci, 2020, Social stigma during COVID-19 and its impact on, HCWs Outcomes. Sustain., 12
Cited by
COVID-19 pandemic effects on health worker's mental health: systematic review and meta-analysis
Aymerich, C., Pedruzo, B., Pérez, J. L., Laborda, M., Herrero, J., Blanco, J., Mancebo, G., Andrés, L., Estévez, O., Fernandez, M., et al. (2022) · European Psychiatry · doi:10.1192/j.eurpsy.2022.1 · Cited by 234
Dragioti, E., Tsartsalis, D., Mentis, M., Mantzoukas, S., & Gouva, M. (2022) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2022.104272 · Cited by 176
The effects of long working hours on mental health among resident physicians in Saudi Arabia
Bondagji, D., Fakeerh, M., Alwafi, H., & Khan, A. A. (2022) · Psychology Research and Behavior Management · doi:10.2147/prbm.s370642 · Cited by 31
Briciu, V., Leucuta, D.-C., Tőkés, G. E., & Colcear, D. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20054118 · Cited by 29
Patel, H., Easterbrook, B., D'Alessandro-Lowe, A. M., Andrews, K., Ritchie, K., Hosseiny, F., Rodrigues, S., Malain, A., O’Connor, C., Schielke, H., et al. (2023) · European Journal of Psychotraumatology · doi:10.1080/20008066.2023.2180706 · Cited by 27
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
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
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- The paper
- 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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.