AUTHOR=Chen Xi , Chen Jiyao , Zhang Meimei , Dong Rebecca Kechen , Li Jizhen , Dong Zhe , Ye Yingying , Tong Lingyao , Zhao Ruiying , Cao Wenrui , Li Peikai , Zhang Stephen X.
TITLE=Meta-Regression on the Heterogenous Factors Contributing to the Prevalence of Mental Health Symptoms During the COVID-19 Crisis Among Healthcare Workers
JOURNAL=Frontiers in Psychiatry
VOLUME=Volume 13 - 2022
YEAR=2022
URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2022.833865
DOI=10.3389/fpsyt.2022.833865
ISSN=1664-0640
ABSTRACT=ObjectiveThis 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.
MethodWe 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.
ResultsThe 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).
ConclusionThe 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 Registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=220592, identifier: CRD42020220592.