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Titre : | COVID-19 pandemic increases the occurrence of nursing burnout syndrome: an interrupted time-series analysis of preliminary data from 38 countries (2023) |
Auteurs : | Meng-Wei Ge ; Fei-Hong Hu ; Yi-Jie Jia ; Wen Tang ; Wan-Qing Zhang ; Dan-Yan Zhao ; Wang-Qin Shen ; Hong-Lin Chen |
Type de document : | Article |
Dans : | Nurse Education in Practice (Vol. 69, May 2023) |
Article en page(s) : | 103643 |
Note générale : | https://doi.org/10.1016/j.nepr.2023.103643 |
Langues: | Anglais |
Descripteurs : |
HE Vinci Analyse de données ; COVID-19 ; Epuisement professionnel ; Infirmières et infirmiers |
Résumé : | 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. |
Disponible en ligne : | Oui |
En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S1471595323001051 |