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COVID-19 pandemic increases the occurrence of nursing burnout syndrome: an interrupted time-series analysis of preliminary data from 38 countries by Meng-Wei Ge; Fei-Hong Hu; Yi-Jie Jia; Wen Tang; Wan-Qing Zhang; Dan-Yan Zhao; Wang-Qin Shen; Hong-Lin Chen is a Medicine article available to read on EtoBox.

What is COVID-19 pandemic increases the occurrence of nursing burnout syndrome: an interrupted time-series analysis of preliminary data from 38 countries about?

Aim To evaluate the trends in nursing burnout rates before and during the coronavirus 2019 restrictions. Method Meta-analysis was used to extract the data on global nursing burnout from 1 Jan. 2010–15 Dec. 2022. An interrupted time-series analysis using segmented ordinary least squares (OLS) regression models was used to explore if the nursing burnout were affected by the epidemic. Newey-West standard error was used to adjust for autocorrelation and heteroskedasticity. Results Before the epidemic (April 2020), the nursing burnout rate rose with 0.0007497 (95% CI: 0.0000316, 0.0014677, t = 2.07, P = 0.041) per month. The trend of nursing burnout rate has increased by 0.0231042 (95 CI%:0.0086818, 0.0375266, t = 3.18, P = 0.002). The increasing trend of nursing burnout rate after the COVID-19 restrictions is 0.0007497 + 0.0231042 = 0.0238539 per month. Conclusion The study indicated that the Covid-19 restrictions had an impact on nursing burnout, increasing the occurrence of nursing burnout syndrome.

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Author

Meng-Wei Ge; Fei-Hong Hu; Yi-Jie Jia; Wen Tang; Wan-Qing Zhang; Dan-Yan Zhao; Wang-Qin Shen; Hong-Lin Chen

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Medicine (Health Sciences)