Systematic Reviews and Meta Analysis
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Year 2023, , 477 - 487, 10.07.2023

Emel Kaya , Tuğba Öztürk Yıldırım

https://doi.org/10.31067/acusaglik.1181891

Abstract

References

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  • Chen Y, Zhou H, Zhou Y, Zhou F. Prevalence of self-reported depression and anxiety among pediatric medical staff members during the COVID-19 outbreak in Guiyang, China. Psychiatry Res. 2020; 288. DOI:10.1016/j.psychres.2020.113005
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  • Alan H, Eskin Bacaksiz F, Tiryaki Sen H, Taskiran Eskici G, Gumus E, Harmanci Seren AK. “I’m a hero, but…”: An evaluation of depression, anxiety, and stress levels of frontline healthcare professionals during COVID-19 pandemic in Turkey. Perspect Psychiatr Care (e-pub ahead of print 2020; doi:10.1111/ppc.12666).
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  • Yang S, Kwak SG, Ko EJ, Chang MC. The mental health burden of the covid-19 pandemic on physical therapists. Int J Environ Res Public Health 2020; 17. [PMID: 32466164 DOI: 10.3390/ijerph17103723]
  • Huarcaya-Victoria J, Podestá A, David Huarcaya-Victoria J. Factors associated with distress among medical staff of a general hospitalduring the initial phase of the COVID-19 pandemic in Peru. (e-pub ahead of print doi:10.13140/RG.2.2.26554.34241).
  • Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, Wu J, Du H, Chen T, Li R, Tan H, Kang L, Yao L, Huang M, Wang H, Wang G, Liu Z, Hu S. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw open 2020; 3: e203976. [PMID: 32202646 DOI: 10.1001/jamanetworkopen.2020.3976]
  • Rossi R, Socci V, Pacitti F, Di Lorenzo G, Di Marco A, Siracusano A, Rossi A. Mental Health Outcomes among Frontline and Second-Line Health Care Workers during the Coronavirus Disease 2019 (COVID-19) Pandemic in Italy. JAMA Netw Open 2020; 3. [PMID: 32463467 DOI: 10.1001/jamanetworkopen.2020.10185]
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Depression Prevalence of Healthcare Workers During the First Wave of the COVID-19 Pandemic and Its Affecting Variables: A Meta-Analysis

Year 2023, , 477 - 487, 10.07.2023

Emel Kaya , Tuğba Öztürk Yıldırım

https://doi.org/10.31067/acusaglik.1181891

Abstract

Purpose: This meta-analysis aimed to systematically review the affecting variables regarding the prevalence of depression in healthcare workers during the COVID-19 pandemic.
Method: MedLine, PubMed, Web of Science (Wos), and GoogleScholar databases were searched until June 19, 2020. The quality of studies included was evaluated with The Newcastle-Ottawa Scale. Data were analyzed using Comprehensive Meta-Analysis Version 3.0. The pooled prevalence of depression was interpreted according to the random-effects model. The heterogeneity of the studies was evaluated with Cochran's Q test and I2 statistics.
Results: A meta-analysis of depression prevalence in healthcare workers was carried out with 8 studies. Studies with high-quality assessments were analyzed. In this study, which was conducted with a total of 9,841 healthcare workers, the overall depression rate was 40.8% (95% confidence interval [CI] 33.5-48.6; I2=96.48%). In the subgroup analysis to determine the influencing variables, the rate of depression in female healthcare workers was 24.5% (95% CI: 17.4–33.3) and the rate of depression in male healthcare workers was 8.5% (95% CI: 5.5–12.7). In addition, the depression rate was 43.6% (95% CI: 35.9–51.7) in studies conducted in China and 18.5% (95% CI: 7.5–38.7) in a study conducted in Korea. No statistically significant difference was found as a result of the subgroup analysis in terms of profession, the measurement tool and the period of time (p>0.05).
Conclusion: This meta-analysis provides evidence that 4 out of 10 healthcare workers experience depression during the COVID-19 pandemic, with country and gender as the most influencing variable, respectively.

Keywords

COVID-19 depression healthcare workers meta-analysis prevalence

References

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  • Du J, Dong L, Wang T, Yuan C, Fu R, Zhang L, Liu B, Zhang M, Yin Y, Qin J, Bouey J, Zhao M, Li X. Psychological symptoms among frontline healthcare workers during COVID-19 outbreak in Wuhan. Gen. Hosp. Psychiatry. 2020; 67: 144–145.
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  • Elbay RY, Kurtulmuş A, Arpacıoğlu S, Karadere E. Depression, anxiety, stress levels of physicians and associated factors in Covid-19 pandemics. Psychiatry Res 2020; 290. [PMID: 32497969 DOI: 10.1016/j.psychres.2020.113130]
  • Yang S, Kwak SG, Ko EJ, Chang MC. The mental health burden of the covid-19 pandemic on physical therapists. Int J Environ Res Public Health 2020; 17. [PMID: 32466164 DOI: 10.3390/ijerph17103723]
  • Huarcaya-Victoria J, Podestá A, David Huarcaya-Victoria J. Factors associated with distress among medical staff of a general hospitalduring the initial phase of the COVID-19 pandemic in Peru. (e-pub ahead of print doi:10.13140/RG.2.2.26554.34241).
  • Lai J, Ma S, Wang Y, Cai Z, Hu J, Wei N, Wu J, Du H, Chen T, Li R, Tan H, Kang L, Yao L, Huang M, Wang H, Wang G, Liu Z, Hu S. Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019. JAMA Netw open 2020; 3: e203976. [PMID: 32202646 DOI: 10.1001/jamanetworkopen.2020.3976]
  • Rossi R, Socci V, Pacitti F, Di Lorenzo G, Di Marco A, Siracusano A, Rossi A. Mental Health Outcomes among Frontline and Second-Line Health Care Workers during the Coronavirus Disease 2019 (COVID-19) Pandemic in Italy. JAMA Netw Open 2020; 3. [PMID: 32463467 DOI: 10.1001/jamanetworkopen.2020.10185]
  • Salman M, Raza MH, Ul Mustafa Z, Khan TM, Asif N, Tahir H, Shehzadi N, Hussain K. The psychological effects of COVID-19 on frontline healthcare workers and how they are coping: a web-based, cross-sectional study from Pakistan. (e-pub ahead of print 2020; doi:10.1101/2020.06.03.20119867).
  • Vahedian-Azimi A, Moayed MS, Rahimibashar F, Shojaei S, Ashtari S, Pourhoseingholi MA. Comparison of the severity of psychological distress among four groups of an Iranian population regarding COVID-19 pandemic. BMC Psychiatry 2020; 20. [PMID: 32770975 DOI: 10.1186/s12888-020-02804-9]
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  • Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol. 2010 Sep;25(9):603-5. doi: 10.1007/s10654-010-9491-z. Epub 2010 Jul 22. PMID: 20652370.
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  • Basu A. How to conduct a metaanalysis: A basic tutorial. PeerJ. 2017;5:e2978v1. doi: 10.7287/peerj.preprints.2978v1.
  • Huedo-Medina TB, Sánchez-Meca J, Marín-Martínez F, Botella J. Assessing heterogeneity in meta-analysis: Q statistic or I2 index? Psychol Methods. 2006 Jun;11(2):193-206. doi: 10.1037/1082-989X.11.2.193. PMID: 16784338
  • Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997 Sep 13;315(7109):629-34. doi: 10.1136/bmj.315.7109.629. PMID: 9310563; PMCID: PMC2127453.
  • Alpar R. Alpar, R. (2014). Spor, sağlık ve eğitim bilimlerinden örneklerle uygulamalı istatistik ve geçerlik – güvenirlik . (3rd Edition). Ankara, Türkiye: Detay Yayıncılık. (In Turkish).
  • Zhpu P, Du N, OuYang Y. Investigation on the Mental Health of Healthcare Workers for Aid in Hu Bei Province During the Outbreak of Covid-19 Based on the Network Survey. (e-pub ahead of print 2020; doi:10.21203/rs.3.rs-34118/v1).
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There are 50 citations in total.

Details

Primary Language English
Subjects Psychiatry
Journal Section Review
Authors

Emel Kaya 0000-0001-9932-0976

Tuğba Öztürk Yıldırım 0000-0002-6853-8996

Early Pub Date July 6, 2023
Publication Date July 10, 2023
Submission Date September 29, 2022
Published in Issue Year 2023

Cite

EndNote Kaya E, Öztürk Yıldırım T (July 1, 2023) Depression Prevalence of Healthcare Workers During the First Wave of the COVID-19 Pandemic and Its Affecting Variables: A Meta-Analysis. Acıbadem Üniversitesi Sağlık Bilimleri Dergisi 14 3 477–487.