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Title: | The mental health of healthcare workers in GCC countries during the COVID-19 pandemic: A systematic review and meta-analysis |
Authors: | Aldhamin, Rabab A. Saif, Ahmed Z. Al |
Keywords: | Anxiety Arabian Gulf COVID-19 Depression Healthcare worker Mental health |
Issue Date: | 2023 |
Publisher: | Journal of Taibah University Medical Sciences |
Series/Report no.: | Review Article;45-60 |
Abstract: | Objectives: The aim of this study was to summarize the available evidence on the prevalence of stress, burnout, anxiety and depression among healthcare providers in the Gulf Cooperation Council (GCC) countries (KSA, Bahrain, Kuwait, Oman, Qatar, and the United Arab Emirates) during the COVID-19 pandemic. Methods: We searched PubMed, PsycINFO, Scopus, and Google scholar for related studies published between January 2020 and April 2021 and conducted a systematic review and meta-analysis. Results: Of the 1815 identified studies, 29 met the inclusion criteria, and 19 studies were included in the metaanalysis. The pooled estimate of prevalence for moderate to severe anxiety as reported using GAD-7 was 34.57% (95% CI ¼ 19.73%, 51.12%), that for moderate to severe depression using PHQ-9 was 53.12% (95% CI ¼ 32.76%, 72.96%), and that for moderate to severe stress using the 10-item Perceived Stress Scales was 81.12% (95% CI ¼ 72.15%, 88.70%). Meta-analysis was not performed for burnout due to the small number of identified studies and the different tools used; however, the highest prevalence was reported at 76% (95% CI ¼ 64%, 85%). Overall, a positive trend was observed over time for moderate to severe anxiety and depression, p ¼ 0.0059 and 0.0762, respectively. Of note, the heterogeneity was significant among the studies, and many studies were of poor quality. Conclusion: The prevalence of mental health disorders during the current pandemic among healthcare workers in GCC countries is high. However, the results could be affected by the high heterogeneity and low quality studies. |
URI: | http://localhost:8080/xmlui/handle/123456789/7406 |
ISSN: | 1658-3612 |
Appears in Collections: | Vol 18 No 1 (2023) |
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