The Effect of the COVID-19 Pandemic on Health Care Workers' Anxiety Levels: Protocol for a Meta-Analysis.
COVID-19
anxiety
bias
health care worker
literature
mental health
meta-analysis
protocol
review
Journal
JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504
Informations de publication
Date de publication:
18 Nov 2020
18 Nov 2020
Historique:
received:
05
09
2020
accepted:
20
10
2020
revised:
01
10
2020
pubmed:
11
11
2020
medline:
11
11
2020
entrez:
10
11
2020
Statut:
epublish
Résumé
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. 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. 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 Database searches will commence in November 2020. The meta-analysis will be completed within 2 months of the start date. 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. PRR1-10.2196/24136.
Sections du résumé
BACKGROUND
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
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
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
RESULTS
RESULTS
Database searches will commence in November 2020. The meta-analysis will be completed within 2 months of the start date.
CONCLUSIONS
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)
UNASSIGNED
PRR1-10.2196/24136.
Identifiants
pubmed: 33170800
pii: v9i11e24136
doi: 10.2196/24136
pmc: PMC7677590
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e24136Informations de copyright
©Lunbo Zhang, Ming Yan, Kaito Takashima, Wenru Guo, Yuki Yamada. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.11.2020.
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