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Accepted for/Published in: JMIR Research Protocols

Date Submitted: Sep 5, 2020
Open Peer Review Period: Sep 4, 2020 - Oct 30, 2020
Date Accepted: Oct 20, 2020
Date Submitted to PubMed: Nov 10, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Zhang L, Takashima K, Guo W, Yan M, Yamada Y

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

JMIR Res Protoc 2020;9(11):e24136

DOI: 10.2196/24136

PMID: 33170800

PMCID: 7677590

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

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

ABSTRACT

Background:

The Coronavirus disease 2019 (COVID-19) pandemic has been declared a public health emergency of international concern, which causes excessive anxiety in health care workers. In addition, publication bias and the low quality of publications are widespread, which can cause unreliable results.

Objective:

The first aim of this meta-analysis is to examine the prevalence of anxiety among health care workers and determine whether it had increased due to the COVID-19 pandemic. In addition, our second aim is to investigate whether there has been an increase in publication bias and a deterioration in the quality of publications due to the pandemic.

Methods:

All related studies that were published/released from 2015 to 2020 will be searched in electronic databases. The risk of bias in individual studies will be assessed using the STROBE checklist. The heterogeneity of the studies will be assessed using the I2 statistic. The effect size (prevalence rates of anxiety) and a 95% confidence interval for each research will also be calculated. We shall use moderator analysis to test for the effect of COVID-19 on health care workers’ anxiety, and detect publication bias in COVID-19 studies. We shall also assess publication bias using the funnel plot and Egger’s regression. In the presence of publication bias, if studies have no homogeneity, the trim-and-fill procedure will be applied to adjust the missing studies.

Results:

We are required to complete this meta-analysis within two months, if our submission is accepted.

Conclusions:

This study presents a protocol for meta-analysis targets to provide comprehensive evidence about whether COVID-19 pandemic 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 result of this review can provide evidence to help health managers to make informed decisions for preventing anxiety of health care workers.


 Citation

Please cite as:

Zhang L, Takashima K, Guo W, Yan M, Yamada Y

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

JMIR Res Protoc 2020;9(11):e24136

DOI: 10.2196/24136

PMID: 33170800

PMCID: 7677590

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