ArticleBMC nursing2024
Risk and prediction of job burnout in responding nurses to public health emergencies.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Prevalence and risk factors of burnout symptoms among nurses during the COVID-19 pandemic: an updated systematic review and meta-analysis.Human resources for health · 2025Pooled it
- Online narrative therapy intervention improves post-traumatic stress disorder symptoms, perceived stress, anxiety, and depression in nurses: a randomized controlled trial.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Trial
- Stress, burnout, and depressive symptoms among nurses in a Lebanese academic medical center: a cross-sectional wellness needs assessment.BMC nursing · 2026Article
- Factors influencing insomnia among nurses in Wuhan, China, two years after the COVID-19 outbreak: a cross-sectional study.BMC nursing · 2026Article
- A nurse-centered edge-server wearable system for real-time monitoring of occupational stress in clinical care.Frontiers in public health · 2026Article
- Factors associated with job burnout among dental nurses: a cross-sectional study.Frontiers in public health · 2026Article
- Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study.Frontiers in public health · 2026Article
- Article
- Exploring the Role of Professional Burnout and Mental Health Strain in Nurses' Turnover Intentions: A Mediation Study.Journal of nursing management · 2025Article
- Seeing burnout coming: early signs and recognition strategies in health professionals.Frontiers in public health · 2025Review
- The relationship between moral distress and occupational burnout among ICU nurses: social support and psychological resilience as mediating variables.Frontiers in public health · 2025Article
- A machine learning model to predict the risk factors causing feelings of burnout and emotional exhaustion amongst nursing staff in South Africa.BMC health services research · 2024Article
- Article
- Article
- The independent and interactive effects of changes in overtime and night shifts during the COVID-19 pandemic on burnout among nurses: a longitudinal study.Scandinavian journal of work, environment & health · 2024Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn public health emergencies, nurses are vulnerable to adverse reactions, especially job burnout. It is critical to identify nurses at risk of burnout early and implement interventions as early as possible.
methodsA cross-sectional survey of the hospitals in Xiangyang City was conducted in January, 2023 using stratified cluster sampling. Anonymized data were collected from 1584 working nurses. The Impact of Events Scale-Revised (IES-R) and the Chinese version of the Maslach Burnout Inventory-General Survey (MBI-GS) were used to evaluate the post-traumatic stress disorder (PTSD) and burnout of nurses in public health emergencies. Logistic regression analysis was established to screen for risk factors of burnout, and a nomogram was developed to predict the risk of burnout. A calibration curve and the area under the receiver operating characteristic (ROC) curve were used to validate the nomogram internally.
resultsThis study showed that only 3.7% of nurses were completely free of PTSD during a public health emergency. We found that PTSD varied by age, marital status, procreation status, length of service, employee status, and whether working in the ICU. The nurses aged 30 ~ 40 years old, single, married without children, non-regular employees, worked for less than three years or worked in the ICU had higher levels of PTSD. Regarding the prevalence of burnout, 27.4%, 48.5%, and 18.6% of nurses had a high level of emotional exhaustion (EE), depersonalization (DP), and diminished personal accomplishment (PA), respectively. There, 31.1% of nurses had more than two types of job burnout. The number of night shifts, the type of hospital, marital status, and the severity of PTSD were all associated with higher rates of exhaustion among nurses. As a graphical representation of the model, a nomogram was created and demonstrated excellent calibration and discrimination in both sets (AUC = 0.787).
conclusionsThis study confirmed the PTSD and burnout are common problems for in-service nurses during public health emergencies and screened out the high-risk groups of job burnout. It is necessary to pay more attention nurses who are single and working in general hospitals with many night shifts, especially nurses with severe PTSD. Hospitals can set up nurses' personal health records to give timely warnings to nurses with health problems, and carry out support interventions to relieve occupational stress.
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