StructuralEquation Model of End-of-Life Nursing Performance of Home Visiting Nurses
10.12934/jkpmhn.2023.32.2.124
- Author:
Sukhee KIM
1
;
Soongnang JANG
Author Information
1. Assistant Professor, Department of Nursing, Namseoul University, Cheonan, Korea
- Publication Type:Original Article
- From:Journal of Korean Academy of Psychiatric and Mental Health Nursing
2023;32(2):124-137
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Purpose:The purpose of this study was to build a structural model for explaining and predicting end-of-life care performance of home-visiting nurses.
Methods:This study was conducted using data from 360 home-visiting nurses that fit the structural equation model collected from May 3 to September 2, 2019. These data were analyzed using descriptive statistics, Pearson’s correlation coefficient, and structural equation modeling to determine factors that could influence end-of-life care performance.
Results:Our proposed structural model demonstrated a fine fitness level. Our proposed structural model was also able to describe end-of-life care performance with an accuracy of 35.5%. Visiting nursing types, experience of end-of-life care education, attitudes toward nursing care of the dying, and end-of-life care stress were confirmed as key factors that could influence end-of-life care performance. Meanwhile, death-related anxiety was not a factor influencing end-of-life care performance.
Conclusion:Findingsof this study suggest that the aforementioned key factors can improve the performance of home-visiting nurses in providing end-of-life care. Therefore, expanding home nursing services, developing end-of-life nursing education at home, and implementing programs to reduce stress and improve positive attitudes toward end-of-life care are necessary for home-visiting nurses who provide end-of-life care.