A Structural Model for Burnout and Work Engagement of Nurses in Long-term Care Hospitals: Application of the Expanded Job Demand-Job Resources Model

Q4 Nursing
Eun-ok Yang, M. Gu
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引用次数: 1

Abstract

Purpose: This study aimed to develop and test a structural model for burnout and work engagement of nurses in long-term care hospitals. The hypothetical model was constructed on the basis of the expanded Job Demand-Job Resources Model by Xanthopoulou, Baker, Demerouti, and Schaufeli and previous studies related to nurses’ burnout and work engagement.Methods: The study participants included 232 nurses working in seven long-term care hospitals with over 100 bed located in Jeollanam-do and Jeollabuk-do. Data were collected from February 6 to February 16, 2020. Data were analyzed using descriptive statistics, Pearson’s correlation, and structural equation modeling by SPSS 21.0 and AMOS 21.0 programs.Results: The final model showed a good fit to the empirical data: The factors that influenced burnout of nurses in long-term care hospitals were resilience (β=-.37), emotional demands (β=.29), work overload (β=.24), organization-based self-esteem (β=-.19), and social support (β=-.18) explaining 60.5% of the variance. The factors that influenced work engagement for nurses in long-term care hospitals were resilience (β=.44), burnout (β=-.32), and career-growth opportunity (β=.18) explaining 66.4% of the variance.Conclusion: The model constructed in this study is recommended as a model to explain and predict the burnout and work engagement of nurses in long-term care hospitals. The results suggest that strategies for decreasing the burnout of nurses in long-term care hospitals should focus on resilience, emotional demands, work overload, organization-based self-esteem, and social support. In addition, strategies for increasing nurses’ work engagement should focus on resilience, burnout, career-growth opportunity, and social support.
长期护理医院护士职业倦怠与工作投入的结构模型:扩展工作需求-工作资源模型的应用
目的:本研究旨在建立并检验长期护理医院护士职业倦怠与工作投入的结构模型。假设模型是在Xanthopoulou、Baker、Demerouti和Schaufeli扩充的工作需求-工作资源模型以及之前关于护士职业倦怠和工作投入的相关研究的基础上构建的。方法:研究对象为全罗南道和全罗北道7家床位超过100张的长期护理医院的232名护士。数据收集时间为2020年2月6日至2月16日。数据分析采用描述性统计、Pearson相关和结构方程建模,采用SPSS 21.0和AMOS 21.0程序。结果:最终模型与实证数据拟合较好:影响长期护理医院护士职业倦怠的因素为心理弹性(β=- 0.37)、情绪需求(β= 0.29)、工作超载(β= 0.24)、组织自尊(β=- 0.19)和社会支持(β=- 0.18),解释了60.5%的方差。影响长期护理医院护士工作投入的因素为弹性(β= 0.44)、倦怠(β=- 0.32)和职业发展机会(β= 0.18),解释了66.4%的方差。结论:本研究构建的模型可作为解释和预测长期护理医院护士职业倦怠和工作投入的模型。研究结果提示,降低长期护理医院护士职业倦怠的策略应侧重于弹性、情绪需求、工作超载、组织自尊和社会支持。此外,提高护士工作投入的策略应侧重于弹性、倦怠、职业发展机会和社会支持。
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CiteScore
0.80
自引率
0.00%
发文量
31
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