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Sleep Quality of Medical Staff During the Coronavirus Pandemic: A Meta-analysis
Journal of Turkish Sleep Medicine ; 8(1):1-6, 2021.
Article in Turkish | EMBASE | ID: covidwho-2202236
ABSTRACT
This meta-analysis study aimed to determine the sleep quality of medical staff during the Coronavirus disease-2019 (COVID-19) pandemic. A literature search without date limitation was conducted using databases of Science Direct, Google Scholar, PubMed, Clinical Key, Scopus and Web of Science. ''Coronavirus'', ''Pittsburgh sleep quality'', ''medical staff' and ''COVID-19'' were used as keywords. Subsequently, four articles published from 1 January 2020 to 14 June 2020 and meeting the inclusion criteria, were included in this study. The random effects model was used for meta-analysis of continuous and binary variables. The AXIS assessment tool was used for evaluating the quality of publication bias. The total sample size of the four studies was 2.030. Among the participants, 77.9% were women and 22.1% were men. The Pittsburgh Sleep Quality index total score of the medical staff working during the OVID-19 pandemic was 7.55 [(95% confidence interval (CI) 6.024-9.073), z=9.76, p<0.001]. The sleep quality of the medical staff who were in contact with patients with COVID-19 was 2.57 (odds ratio 2.57, 95% CI 1.58-4.18, z=3.82, p<0.001) times worse than those of medical staff without patient contact. This study found that the medical staff working during the COVID-19 pandemic had poor sleep quality. Specifically, medical staff giving treatment and taking care of patients with COVID-19 had lower sleep quality. We suggest providing psychological support to medical staff in charge of the treatment and care of patients with COVID-19. Copyright © Telif Hakki 2021 Turk Uyku Tibbi Dernegi/Turk Uyku Tibbi Dergisi, Galenos Yayinevi tarafindan yayinlanmistir
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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews Language: Turkish Journal: Journal of Turkish Sleep Medicine Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Reviews Language: Turkish Journal: Journal of Turkish Sleep Medicine Year: 2021 Document Type: Article