Garrosa Eva, Moreno-Jiménez Bernardo, Liang Youxin, González José Luis
Facultad de Psicologia, Universidad Autónoma de Madrid, Spain.
Int J Nurs Stud. 2008 Mar;45(3):418-27. doi: 10.1016/j.ijnurstu.2006.09.003. Epub 2006 Nov 15.
Nursing is considered as a risk profession with high levels of stress and burnout, and these levels are probably increasing.
A model of prediction of burnout in nursing that includes socio-demographic variables, job stressors, and personal vulnerability, or resistance, is proposed.
A cross-sectional correlational design was used. A sample of 473 nurses and student nurses in practice from three General Hospitals in Madrid (Spain) completed the "Nursing Burnout Scale". The data were analysed using descriptive statistics, Pearson correlations, and hierarchical multiple regression.
The proposed model is a good predictor of the diverse burnout sub-dimensions: emotional exhaustion, depersonalisation, and lack of personal accomplishment. Significant predictors of burnout included age, job status, job stressors (workload, experience with pain and death, conflictive interaction, and role ambiguity), and hardy personality (commitment, control, and challenge).
Identifying an integrative process of burnout among nurses is an essential step to develop effective managerial strategies so as to reduce the burnout problem. Specifically, the present study suggests that intervention aimed at reducing the risk for burnout may achieve better results if it includes enhancement of workers' hardy personality rather than just decreasing environmental stressors.
护理工作被视为一种高压力和高倦怠风险的职业,而且这些程度可能正在加剧。
提出一种护理倦怠预测模型,该模型包括社会人口统计学变量、工作压力源以及个人易感性或抗压能力。
采用横断面相关设计。来自西班牙马德里三家综合医院的473名护士及实习护士完成了“护理倦怠量表”。数据采用描述性统计、皮尔逊相关性分析和分层多元回归进行分析。
所提出的模型是各种倦怠子维度(情感耗竭、去个性化和个人成就感低落)的良好预测指标。倦怠的显著预测因素包括年龄、工作状态、工作压力源(工作量、疼痛和死亡经历、冲突性互动以及角色模糊)以及坚韧人格(投入、掌控和挑战)。
识别护士倦怠的综合过程是制定有效管理策略以减少倦怠问题的关键一步。具体而言,本研究表明,如果旨在降低倦怠风险的干预措施包括增强员工的坚韧人格,而非仅仅减少环境压力源,可能会取得更好的效果。