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Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers.
- Source :
- Frontiers in Psychiatry; 3/18/2022, Vol. 13, p1-11, 11p
- Publication Year :
- 2022
-
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%5frecord.php?RecordID=220592, identifier: CRD42020220592. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 16640640
- Volume :
- 13
- Database :
- Complementary Index
- Journal :
- Frontiers in Psychiatry
- Publication Type :
- Academic Journal
- Accession number :
- 155995993
- Full Text :
- https://doi.org/10.3389/fpsyt.2022.833865