Effects of Job Crafting and Leisure Crafting on Nurses’ Burnout: A Machine Learning-Based Prediction Analysis

IF 3.7 2区 医学 Q2 MANAGEMENT Journal of Nursing Management Pub Date : 2024-06-20 DOI:10.1155/2024/9428519
Yu-Fang Guo, Si-Jia Wang, Virginia Plummer, Yun Du, Tian-Ping Song, Ning Wang
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Abstract

Aim. To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models. Background. The prevalence of burnout among nurses poses a severe risk to their job performance, quality of healthcare, and the cohesiveness of nurse teams. Numerous studies have explored factors influencing nurse burnout; however, few involved job crafting and leisure crafting synchronously and elucidated the effect differences of the two crafting behaviors on nurse burnout. Methods. Multicentre cross-sectional survey study. Nurses (n = 1235) from four Chinese tertiary hospitals were included. The Maslach Burnout Inventory-General Survey, the Job Crafting Scale, and the Leisure Crafting Scale were employed for data collection. Four machine learning algorithms (logistic regression model, support vector machine, random forest, and gradient boosting tree) were used to analyze the data. Results. Nurses experienced mild to moderate levels of burnout and moderate to high levels of job crafting and leisure crafting. The AUC (in full) for the four models was from 0.809 to 0.821, among which the gradient boosting tree performed best, with 0.821 AUC, 0.739 accuracy, 0.470 sensitivity, 0.919 specificity, and 0.161 Brier. All models showed that job crafting was the most important predictor for burnout, while leisure crafting was identified as the second important predictor for burnout in the random forest model and gradient boosting tree model. Conclusion. Even if nurses experienced mild to moderate burnout, nurse managers should develop efficient interventions to reduce nurse burnout. Job crafting and leisure crafting may be beneficial preventative strategies against burnout among nurses at present. Implications for Nursing Management. Job and leisure crafting were identified as effective methods to reduce nurse burnout. Nurse managers should provide more opportunities for nurses’ job crafting and encourage nurses crafting at their leisure time.

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工作创造和休闲创造对护士职业倦怠的影响:基于机器学习的预测分析
目的探讨护士的工作制作、休闲制作和职业倦怠状况,并利用基于机器学习的模型研究工作制作和休闲制作的变化对职业倦怠的影响。背景。护士中普遍存在的职业倦怠对其工作表现、医疗质量和护士团队的凝聚力构成严重威胁。许多研究探讨了影响护士职业倦怠的因素,但很少有研究同时涉及工作手工制作和休闲手工制作,并阐明这两种手工制作行为对护士职业倦怠的影响差异。研究方法多中心横断面调查研究。研究对象包括中国四家三级甲等医院的护士(n = 1235)。数据收集采用了马斯拉赫职业倦怠调查问卷(Maslach Burnout Inventory-General Survey)、工作技艺量表(Job Crafting Scale)和休闲技艺量表(Leisure Crafting Scale)。数据分析采用了四种机器学习算法(逻辑回归模型、支持向量机、随机森林和梯度提升树)。结果护士的职业倦怠程度为轻度至中度,工作琐事和休闲琐事程度为中度至高度。四个模型的AUC(全称)从0.809到0.821不等,其中梯度提升树表现最好,AUC为0.821,准确率为0.739,灵敏度为0.470,特异性为0.919,Brier为0.161。所有模型都表明,工作精心制作是预测职业倦怠的最重要因素,而在随机森林模型和梯度提升树模型中,休闲精心制作被确定为预测职业倦怠的第二重要因素。结论即使护士有轻度至中度的职业倦怠,护士管理者也应制定有效的干预措施来减少护士的职业倦怠。目前,工作精心设计和休闲精心设计可能是预防护士职业倦怠的有益策略。对护理管理的启示。工作制作和休闲制作被认为是减少护士职业倦怠的有效方法。护士长应为护士提供更多的工作手工制作机会,并鼓励护士在闲暇时间进行手工制作。
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来源期刊
CiteScore
9.40
自引率
14.50%
发文量
377
审稿时长
4-8 weeks
期刊介绍: The Journal of Nursing Management is an international forum which informs and advances the discipline of nursing management and leadership. The Journal encourages scholarly debate and critical analysis resulting in a rich source of evidence which underpins and illuminates the practice of management, innovation and leadership in nursing and health care. It publishes current issues and developments in practice in the form of research papers, in-depth commentaries and analyses. The complex and rapidly changing nature of global health care is constantly generating new challenges and questions. The Journal of Nursing Management welcomes papers from researchers, academics, practitioners, managers, and policy makers from a range of countries and backgrounds which examine these issues and contribute to the body of knowledge in international nursing management and leadership worldwide. The Journal of Nursing Management aims to: -Inform practitioners and researchers in nursing management and leadership -Explore and debate current issues in nursing management and leadership -Assess the evidence for current practice -Develop best practice in nursing management and leadership -Examine the impact of policy developments -Address issues in governance, quality and safety
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