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End-of-Life Care Stress, Attitudes Toward End-of-Life Care, and End-of-Life Care Performance as Predictors of Job Satisfaction Among Nurses Working in Hospitals in South Korea

Year: 2025
Type: article
Study design: Observational Study
Abstract: Background/Objectives: This study explored end-of-life care stress, attitudes toward end-of-life care, and end-of-life care performance as predictors of job satisfaction among hospital nurses. Methods: A descriptive cross-sectional design was employed to assess job satisfaction among nurses with end-of-life care experience in tertiary and general hospitals in South Korea. A convenience sample of 215 nurses was recruited. Eligibility criteria included at least 3 months of experience as a direct care nurse and having provided care to terminally ill patients at least once. Data were collected through an online survey. The study variables included end-of-life care stress, attitudes toward end-of-life care, end-of-life care performance, and job satisfaction. Data were analyzed using descriptive statistics, ANOVA, Pearson correlation coefficients, and hierarchical regression analysis. Results: Attitudes toward end-of-life care (β = 0.277, p < 0.001) and end-of-life care performance (β = 0.339, p < 0.001) were significant predictors of job satisfaction, with being enrolled in a master’s nursing program (β = 0.228, p < 0.001) also contributing positively. End-of-life care stress showed no direct association with job satisfaction. The final model explained 29.4% of the variance in job satisfaction (adjusted R2 = 0.294). Conclusions: End-of-life care performance was the strongest predictor of job satisfaction, suggesting that nurses’ perceived competence enhances professional fulfillment. Positive attitudes toward end-of-life care further strengthen satisfaction. Continuous education and supportive organizational environments are essential to enhance nurses’ competence, attitudes toward end-of-life care, and quality of end-of-life care.
Source: Healthcare
Language: English
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,258
OpenAlex ID: W4416996913
FWCI: 2.464
Cites: 39
Cited by: 3
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