Prevalence and factors associated with burnout among primary health-care workers in China during COVID-19: a national survey.

Autor: Huang J; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China., Zhu P; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China., Yan Y; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China., Xi B; Hebei Medical University, Hebei, 050017, China., Zhu S; Department of General Practice, Zhongshan Hospital of Fudan University, Shanghai, 200032, China., Ji J; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China. jjy2876@gmail.com., Gu J; Department of General Practice, Zhongshan Hospital of Fudan University, Shanghai, 200032, China. gu.jie@zs-hospital.sh.cn.; International Medical Center, Zhongshan Hospital of Fudan University, Shanghai, 200032, China. gu.jie@zs-hospital.sh.cn.
Jazyk: angličtina
Zdroj: BMC primary care [BMC Prim Care] 2024 Sep 17; Vol. 25 (1), pp. 341. Date of Electronic Publication: 2024 Sep 17.
DOI: 10.1186/s12875-024-02593-0
Abstrakt: Background: Primary health-care workers (PHWs) managed increased workloads and pressure during the COVID-19 pandemic. This study conducted a national survey examining burnout among PHWs at the end of the COVID-19 pandemic, and identifies related factors. By doing so, it addresses the gap in understanding the burnout situation among PHWs at a national level, taking into account urban-rural disparities.
Methods: We conducted a nationwide cross-sectional survey of PHWs in China from May to October 2022, covering 31 provinces. The MBI-HSS was used to measure overall burnout and emotional exhaustion (EE), depersonalization (DP), and reduced personal accomplishment (PA). We used multivariable logistic regression to identify risk factors, and subgroup analyses to identify differences between rural and urban areas.
Results: 3769 PHWs from 44 primary health-care institutions completed the survey. Overall, 16.6% reported overall burnout, and the prevalence of EE, DP, and reduced PA was 29.7%, 28.0%, and 62.9%, respectively. The prevalence of overall burnout (17.6% vs. 13.7%, P = 0.004) and EE (31.5% vs. 24.8%, P < 0.001) was higher in urban than rural areas (AOR = 1.285; 95%CI, 1.021-1.617). Job satisfaction was a protective factor against burnout in both settings. The protective factors of overall burnout, EE and DP vary between urban and rural areas.
Conclusions: The Mental Health Status Questionnaire-Short Form (MSQ-SF) score functioned as a protective factor against burnout across both rural and urban locales, highlighting the intrinsic link between job satisfaction and burnout. Other influencing factors differed between urban and rural areas, so interventions should be tailored to local conditions. Rural married PHWs experienced the lower prevalence of burnout indicates the support structure may play a significant role. In urban settings, it is recommended to strategically pre-emptively stock essential supplies like PPE.
(© 2024. The Author(s).)
Databáze: MEDLINE
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