Factors influencing nurse fatigue during COVID-19: regression vs. fuzzy-set qualitative comparative analysis

Frontiers in Public Health

Public Health

Lin Wu¹  Yajie Feng¹  Junping Liu¹  Zhaoyue Liu¹  Huanyu Zhang¹  Libo Liang¹  Xinru Liu¹  Nan Wang¹  Zhixin Liu²  Dandan Zou³  Jie Liu⁴  Juan Zhao⁵  Chen Wang⁶ 

[1] Department of Social Medicine, School of Public Health, Health Management College, Harbin Medical University, Harbin, China;Department of Social Medicine, School of Public Health, Health Management College, Harbin Medical University, Harbin, China;Department of Health Policy and Management, School of Public Health, Peking University, Beijing, China;Jinshan Hospital of Fudan University, Shanghai, China;Second Affiliated Hospital of Harbin Medical University, Harbin, China;Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China;Xinqiao Hospital, Third Military Medical University (Army Medical University), Chongqing, China;

关键词: fatigue;    nurses;    COVID-19;    fsQCA;    anxiety;   

DOI  :  10.3389/fpubh.2023.1184702

 received in 2023-04-04, accepted in 2023-07-27,  发布年份 2023

来源: Frontiers

【 摘 要 】

BackgroundNurses during COVID-19 who face significant stress and high infection risk are prone to fatigue, affecting their health and quality of patient care. A cross- sectional study of 270 nurses who went to epidemic area to support anti-epidemic was carried out via online survey during the COVID-19 pandemic on November 2021.MethodsA web-based cross-sectional survey of 270 nurses in China who traveled to Heihe City in Heilongjiang Province to combat the novel coronavirus epidemic. The researchers collected information on sociodemographic variables, anxiety, transition shock, professionalism, collaboration, hours of work per day, and fatigue. Regression and fuzzy-set Quality Comparative Analysis (fsQCA) evaluated the factors’ impact on the nurses’ fatigue.ResultsRegression analysis showed that the psychological variables significant for fatigue, transition shock (β = 0.687, p < 0.001) and anxiety (β = 0.757, p < 0.001) were positively associated with fatigue, professionalism (β = −0.216, p < 0.001) was negatively associated with fatigue, and among the work-related variables, cooperation (β = −0.262, p < 0.001) was negatively related to fatigue. FsQCA analysis showed that combined effects of work hours, anxiety, and nurses’ educational status caused most of the fatigue (raw coverage = 0.482, consistency = 0.896).ConclusionThis study provides two main findings, the one is the greater transition shock experienced during COVID-19 in a new environment, low levels of professionalism, anxiety, and poor nursing teamwork situations lead anti-epidemic nurses to increased fatigue. Second, the fsQCA results showed that anxiety is sufficient for fatigue and that nurses’ educational status, daily working hours, and anxiety are the most effective combination of factors.

【 授权许可】

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Copyright © 2023 Zhang, Liu, Liu, Feng, Zou, Zhao, Wang, Wang, Liu, Wu, Liu, Liang and Liu.