TY - JOUR
T1 - Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers
AU - Chen, Xi
AU - Chen, Jiyao
AU - Zhang, Meimei
AU - Dong, Rebecca Kechen
AU - Li, Jizhen
AU - Dong, Zhe
AU - Ye, Yingying
AU - Tong, Lingyao
AU - Zhao, Ruiying
AU - Cao, Wenrui
AU - Li, Peikai
AU - Zhang, Stephen X.
N1 - Funding Information:
This work was supported by the National Natural Science Foundation of China (71772103).
Publisher Copyright:
Copyright © 2022 Chen, Chen, Zhang, Dong, Li, Dong, Ye, Tong, Zhao, Cao, Li and Zhang.
PY - 2022/3/18
Y1 - 2022/3/18
N2 - 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.
AB - 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.
KW - COVID-19
KW - frontline healthcare workers
KW - healthcare workers
KW - mental health
KW - meta-analysis
KW - meta-regression
KW - systematic review
UR - http://www.scopus.com/inward/record.url?scp=85127807188&partnerID=8YFLogxK
U2 - 10.3389/fpsyt.2022.833865
DO - 10.3389/fpsyt.2022.833865
M3 - Review article
AN - SCOPUS:85127807188
SN - 1664-0640
VL - 13
JO - Frontiers in Psychiatry
JF - Frontiers in Psychiatry
M1 - 833865
ER -