Ontology highlight
ABSTRACT: Background
Post-traumatic stress disorder (PTSD) develops after a person has experienced a traumatic event which can be highly accounted for amidst the ongoing COVID-19 pandemic. This study aims to estimate the prevalence of PTSD among the severe cases of COVID-19.Methods
We included the observational studies done to estimate the burden of PTSD among severe COVID-19 patients. Data was extracted manually using structured data extraction form and analyzed in STATA version 14.2. A random-effects model was applied, and the final pooled data was reported as proportion with a 95% confidence interval. Multivariable meta-regression analysis was carried out, and a forest plot was utilized to represent the study-specific and pooled estimates for overall and subgroup analysis.Results
We included 13 articles with 1,093 participants in our analysis. The pooled prevalence was estimated to be 16% (95%CI: 9% to 23%). We found a substantial heterogeneity between the studies that reported the outcome (I2=87.9%, p<0.001). In subgroup analysis, the difference in prevalence estimate between the regions was statistically significant.Limitations
We found significant between-study variability for the outcome. In addition, our review was found to have substantial publication bias. We also found that the lower quality of the majority of the studies being included in our review.Interpretation
Our study states that the risk of PTSD is higher following severe COVID-19 infection. Understanding this burden will help us in diverting the resources and adapting necessary interventions to control the situation.
SUBMITTER: Nagarajan R
PROVIDER: S-EPMC8596764 | biostudies-literature |
REPOSITORIES: biostudies-literature