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The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677590/ https://www.ncbi.nlm.nih.gov/pubmed/33170800 http://dx.doi.org/10.2196/24136 |
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author | Zhang, Lunbo Yan, Ming Takashima, Kaito Guo, Wenru Yamada, Yuki |
author_facet | Zhang, Lunbo Yan, Ming Takashima, Kaito Guo, Wenru Yamada, Yuki |
author_sort | Zhang, Lunbo |
collection | PubMed |
description | 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 I(2) 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 |
format | Online Article Text |
id | pubmed-7677590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-76775902020-11-23 The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis Zhang, Lunbo Yan, Ming Takashima, Kaito Guo, Wenru Yamada, Yuki JMIR Res Protoc Protocol 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 I(2) 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 JMIR Publications 2020-11-18 /pmc/articles/PMC7677590/ /pubmed/33170800 http://dx.doi.org/10.2196/24136 Text en ©Lunbo Zhang, Ming Yan, Kaito Takashima, Wenru Guo, Yuki Yamada. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.11.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. |
spellingShingle | Protocol Zhang, Lunbo Yan, Ming Takashima, Kaito Guo, Wenru Yamada, Yuki The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title | The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title_full | The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title_fullStr | The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title_full_unstemmed | The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title_short | The Effect of the COVID-19 Pandemic on Health Care Workers’ Anxiety Levels: Protocol for a Meta-Analysis |
title_sort | effect of the covid-19 pandemic on health care workers’ anxiety levels: protocol for a meta-analysis |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677590/ https://www.ncbi.nlm.nih.gov/pubmed/33170800 http://dx.doi.org/10.2196/24136 |
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