Wang Yuecong, Wang Xin, Li Xuejing, Wen Surong
Department of Neurology, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, Jiangsu, 223002, China.
Department of Nursing, Huaian Hospital of Huaian City, 19 Shanyang Avenue, Huaian, Jiangsu, 223200, China.
BMC Nurs. 2024 Dec 21;23(1):941. doi: 10.1186/s12912-024-02622-4.
Burnout is a state of physical and mental exhaustion triggered by long-term work stress, which is manifested mainly as emotional exhaustion, depersonalization, and a decreased sense of accomplishment. Among them, emotional exhaustion is its core feature, which often leads to a significant decrease in an individual's enthusiasm for work. Owing to the high intensity of the work environment and the special requirements of emotional labor, the nursing community is more vulnerable to burnout. This burnout not only affects the quality of care but also significantly increases nurses' willingness to leave their jobs.
This study aimed to identify burnout subgroups among Chinese nurses and explore the predictors of each subgroup.
A cross-sectional study.
A total of 500 nurses were recruited for this study via convenience sampling, of whom 470 completed the survey. Nurses' burnout subgroups were identified through latent profile analysis of 15 items on the Burnout Scale. Relationships between subgroups and sociodemographic variables were subsequently explored via one-way ANOVA, chi-square tests, and multivariate logistic regression analyses.
Three burnout subgroups were identified: low depersonalization with low achievement burnout (26.2%, n = 123), overall moderate burnout (52.1%, n = 245), and high emotional exhaustion with low achievement burnout (21.7%, n = 102). The results of multiple logistic regression analysis revealed that age, years of working experience, marital status, education level, and number of night shifts per month were significant predictors of different burnout subgroups among nurses.
This study applied latent profile analysis to explore the subgroups of burnout among Chinese nurses, and the results revealed the diversity of burnout and provided a new perspective for future nursing research. Continued attention to the multifaceted factors affecting burnout and its dynamic changes is recommended to better understand and address the challenges facing the nursing profession.
职业倦怠是一种由长期工作压力引发的身心疲惫状态,主要表现为情感耗竭、去人格化和成就感降低。其中,情感耗竭是其核心特征,常导致个体工作热情大幅下降。由于工作环境强度高以及情感劳动的特殊要求,护理群体更容易出现职业倦怠。这种职业倦怠不仅影响护理质量,还显著增加护士离职意愿。
本研究旨在识别中国护士中的职业倦怠亚组,并探索各亚组的预测因素。
横断面研究。
通过便利抽样招募了500名护士参与本研究,其中470名完成了调查。通过对职业倦怠量表上15个项目进行潜在剖面分析来识别护士的职业倦怠亚组。随后通过单因素方差分析、卡方检验和多因素逻辑回归分析探索亚组与社会人口学变量之间的关系。
识别出三个职业倦怠亚组:低去人格化伴低成就感倦怠组(26.2%,n = 123)、总体中度倦怠组(52.1%,n = 245)和高情感耗竭伴低成就感倦怠组(21.7%,n = 102)。多因素逻辑回归分析结果显示,年龄、工作年限、婚姻状况、教育水平和每月夜班次数是护士不同职业倦怠亚组的重要预测因素。
本研究应用潜在剖面分析探索中国护士职业倦怠的亚组,结果揭示了职业倦怠的多样性,为未来护理研究提供了新视角。建议持续关注影响职业倦怠的多方面因素及其动态变化,以更好地理解和应对护理行业面临的挑战。