Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers

Xi Chen, Jiyao Chen, Meimei Zhang, Rebecca Kechen Dong, Jizhen Li, Zhe Dong, Yingying Ye, Lingyao Tong, Ruiying Zhao, Wenrui Cao, Peikai Li, Stephen X. Zhang

Research output: Journal PublicationArticlepeer-review

1 Citation (Scopus)

Abstract

Objective: This paper used meta-regression to analyze the heterogenous factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) in China under the COVID-19 crisis. Method: We systematically searched PubMed, Embase, Web of Science, and Medrxiv and pooled data using random-effects meta-analyses to estimate the prevalence rates, and ran meta-regression to tease out the key sources of the heterogeneity. Results: The meta-regression results uncovered several predictors of the heterogeneity in prevalence rates among published studies, including severity (e.g., above severe vs. above moderate, p < 0.01; above moderate vs. above mild, p < 0.01), type of mental symptoms (PTSD vs. anxiety, p = 0.04), population (frontline vs. general HCWs, p < 0.01), sampling location (Wuhan vs. Non-Wuhan, p = 0.04), and study quality (p = 0.04). Conclusion: The meta-regression findings provide evidence on the factors contributing to the prevalence rate of mental health symptoms of the general and frontline healthcare workers (HCWs) to guide future research and evidence-based medicine in several specific directions. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=220592, identifier: CRD42020220592.

Original languageEnglish
Article number833865
JournalFrontiers in Psychiatry
Volume13
DOIs
Publication statusPublished - 18 Mar 2022
Externally publishedYes

Keywords

  • COVID-19
  • frontline healthcare workers
  • healthcare workers
  • mental health
  • meta-analysis
  • meta-regression
  • systematic review

ASJC Scopus subject areas

  • Psychiatry and Mental health

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