The Effect of the COVID-19 Pandemic on Health Care Workers' Anxiety Levels: Protocol for a Meta-Analysis

Lunbo Zhang; Ming Yan; Kaito Takashima; Wenru Guo; Yuki Yamada

doi:10.2196/24136

The Effect of the COVID-19 Pandemic on Health Care Workers' Anxiety Levels: Protocol for a Meta-Analysis

JMIR Res Protoc. 2020 Nov 18;9(11):e24136. doi: 10.2196/24136.

Authors

Lunbo Zhang¹, Ming Yan¹, Kaito Takashima¹, Wenru Guo¹, Yuki Yamada²

Affiliations

¹ Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
² Faculty of Arts and Science, Kyushu University, Fukuoka, Japan.

PMID: 33170800
PMCID: PMC7677590
DOI: 10.2196/24136

Abstract

Background: The COVID-19 pandemic has been declared a public health emergency of international concern; this has caused excessive anxiety among health care workers. In addition, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable findings.

Objective: This paper presents the protocol for a meta-analysis with the following two aims: (1) to examine the prevalence of anxiety among health care workers and determine whether it has increased due to the COVID-19 pandemic, and (2) to investigate whether there has been an increase in publication bias.

Methods: All related studies that were published/released from 2015 to 2020 will be searched in electronic databases (Web of Science, PubMed, PsyArXiv, and medRxiv). The risk of bias in individual studies will be assessed using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist. The heterogeneity of the studies will be assessed using the I² statistic. The effect size (prevalence rates of anxiety) and a 95% CI for each paper will also be calculated. We will use a moderator analysis to test for the effect of COVID-19 on health care workers' anxiety levels and detect publication bias in COVID-19 studies. We will also assess publication bias using the funnel plot and Egger regression. In case of publication bias, if studies have no homogeneity, the trim-and-fill procedure will be applied to adjust for missing studies.

Results: Database searches will commence in November 2020. The meta-analysis will be completed within 2 months of the start date.

Conclusions: This meta-analysis aims to provide comprehensive evidence about whether COVID-19 increases the prevalence of anxiety among health care workers and whether there has been an increase in publication bias and a deterioration in the quality of publications due to the pandemic. The results of this meta-analysis can provide evidence to help health managers to make informed decisions related to anxiety prevention in health care workers.

International registered report identifier (irrid): PRR1-10.2196/24136.

Keywords: COVID-19; anxiety; bias; health care worker; literature; mental health; meta-analysis; protocol; review.

©Lunbo Zhang, Ming Yan, Kaito Takashima, Wenru Guo, Yuki Yamada. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.11.2020.