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- Title
Moral distress, psychological capital, and burnout in registered nurses.
- Authors
Xue, Bowen; Wang, Shujin; Chen, Dandan; Hu, Zhiguo; Feng, Yaping; Luo, Hong
- Abstract
Aims: This study aimed to explore the relationship among moral distress, psychological capital, and burnout in registered nurses. Ethical consideration: The study was approved by the Ethics Committee of the School of Nursing, Hangzhou Normal University (Approval no. 2022001). Methods: A cross-sectional descriptive survey was conducted with a convenience sample of 397 nurses from three Grade-A tertiary hospitals in Zhejiang Province, China. Participants completed demographic information, the Nurses' Moral Distress Scale, the Nurses' Psychological Capital Scale, and the Maslach Burnout Inventory Scale. The data were analyzed using Pearson's correlation analysis, structural equation modeling, and hierarchical multiple regression analysis. Results: The study found that moral distress and burnout are positively correlated, while psychological capital is negatively correlated with both moral distress and burnout. The path analysis in structural equation modeling revealed that moral distress has a significant direct effect on psychological capital, while psychological capital has a significant direct effect on burnout. In addition, moral distress also had a significant indirect effect on burnout through psychological capital. Moreover, both the direct effect of moral distress on burnout and the total effect of moral distress on burnout were significant. Conclusion: The findings suggest that psychological capital plays an important role in the relationship between moral distress and burnout. Promoting psychological capital among nurses may be a promising strategy for preventing moral distress and burnout in the workplace.
- Subjects
CHINA; JOB stress prevention; NURSES; CROSS-sectional method; PEARSON correlation (Statistics); PSYCHOLOGICAL distress; PSYCHOLOGICAL burnout; RESEARCH funding; POSITIVE psychology; STATISTICAL sampling; QUESTIONNAIRES; MULTIPLE regression analysis; TERTIARY care; DESCRIPTIVE statistics; CHI-squared test; STRUCTURAL equation modeling; ETHICS; SURVEYS; DEPERSONALIZATION; RESEARCH methodology; CONCEPTUAL structures; DATA analysis software; CONFIDENCE intervals; WELL-being
- Publication
Nursing Ethics, 2024, Vol 31, Issue 2/3, p388
- ISSN
0969-7330
- Publication type
Article
- DOI
10.1177/09697330231202233