ArticleBMC primary care2024
Prevalence and factors associated with burnout among primary health-care workers in China during COVID-19: a national survey.
Article in BMC primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Prevalence and Predictors of Burnout Among Medical Interns in 2 Major Cities of the Eastern Province of Saudi Arabia: A Cross-Sectional Study.Medical science monitor basic research · 2026Article
- Analysis of the spatial distribution of occupational burnout among mental health professionals at the city, county, and township levels in Guangxi and related influencing factors.Frontiers in public health · 2026Article
- The dual benefits of professional values on income and health among healthcare workers in China: a cross-sectional study.BMC health services research · 2025Article
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7 authors.
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Abstract
backgroundPrimary 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.
methodsWe 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.
results3769 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.
conclusionsThe 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.
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