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Trim and fill comprehensive meta analysis
Trim and fill comprehensive meta analysis












The effect size (prevalence rates of anxiety) and a 95% CI for each paper will also be calculated. The heterogeneity of the studies will be assessed using the I 2 statistic. The risk of bias in individual studies will be assessed using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist.

trim and fill comprehensive meta analysis

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.Īll related studies that were published/released from 2015 to 2020 will be searched in electronic databases (Web of Science, PubMed, PsyArXiv, and medRxiv). In addition, publication bias and low-quality publications have become widespread, which can result in the dissemination of unreliable findings. The COVID-19 pandemic has been declared a public health emergency of international concern this has caused excessive anxiety among health care workers.














Trim and fill comprehensive meta analysis