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September 27, 2025Frontiers in Public Health3 citationsOpen Access

Characterizing potential subtypes and influencing factors of burnout in emergency department nurses by latent profile analysis

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LLLin LanXCXiaoli ChenHZHao Zhang

Key Points

  • Emergency nurses experience significant burnout, categorized into three distinct subtypes, indicating varied needs.
  • The study included 1,540 respondents out of 1,555 surveyed, reporting average burnout scores indicating distress.
  • A cross-sectional survey employed latent profile analysis to unveil burnout differences based on demographics and work factors.
  • Understanding burnout subtypes may inform personalized interventions, highlighting the need for targeted support systems.

Abstract

Objective: This study aims to explore the heterogeneity of burnout among emergency department nurses, identify the factors influencing burnout in different subtypes of emergency nurses, and provide targeted strategies and measures to reduce burnout in emergency department nurses. Methods A cross-sectional survey was conducted from December 26, 2023, to January 18, 2024, involving 1,555 emergency nurses from 30 tertiary hospitals in China. The survey was distributed via an online questionnaire platform, which included general demographic information and the Maslach Burnout Inventory (MBI). The collected data were analyzed using latent profile analysis, Kruskal–Wallis H test, and multiple logistic regression. Results A total of 1,555 questionnaires were sent out in this survey, and finally 1,540 were included for data analysis. The average burnout score among emergency nurses was (4.77 ± 6.16). Occupational burnout could be categorized into three subtypes: low burnout-low professional efficacy (C1), low burnout-high professional efficacy (C2), and high burnout-low professional efficacy (C3). The proportions of these subtypes were 41%, 32.3%, and 26.7%, respectively. Significant differences in the latent categories of burnout were observed for age (χ 2 = 31.749, P 0.001), education level (χ 2 = 6.778, P = 0.034), professional title (χ 2 = 21.928, P 0.001), years of work (χ 2 = 29.269, P 0.001), weekly working hours (χ 2 = 52.493, P 0.001), number of night shifts (χ 2 = 34.685, P 0.001), and monthly income (χ 2 = 18.994, P 0.001). Conclusion Occupational burnout is prevalent among emergency nurses, with significant heterogeneity in burnout types. Burnout is associated with age, education level, professional title, number of night shifts, weekly working hours, and monthly income. The heterogeneity of burnout subtypes and their influencing factors provides a basis for future personalized interventions.

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Cite This Study

Lan et al. (2025) studied this question.

synapsesocial.com/papers/68d7be62eebfec0fc523784ehttps://doi.org/10.3389/fpubh.2025.1654398
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