{"title":"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","authors":"Eun-ok Yang, M. Gu","doi":"10.17079/jkgn.2022.24.1.108","DOIUrl":null,"url":null,"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.","PeriodicalId":52377,"journal":{"name":"Journal of Korean Gerontological Nursing","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Structural Model for Burnout and Work Engagement of Nurses in Long-term Care Hospitals: Application of the Expanded Job Demand-Job Resources Model\",\"authors\":\"Eun-ok Yang, M. Gu\",\"doi\":\"10.17079/jkgn.2022.24.1.108\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":52377,\"journal\":{\"name\":\"Journal of Korean Gerontological Nursing\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-02-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Gerontological Nursing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17079/jkgn.2022.24.1.108\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Gerontological Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17079/jkgn.2022.24.1.108","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Nursing","Score":null,"Total":0}
A Structural Model for Burnout and Work Engagement of Nurses in Long-term Care Hospitals: Application of the Expanded Job Demand-Job Resources Model
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.