Purpose
This study aimed to identify the influence of positive psychological capital, role conflict, and authentic leadership on burnout among nurses working in comprehensive nursing care service wards of general hospitals. Methods: A descriptive cross-sectional survey was conducted with 208 nurses from four general hospitals. Data were collected using structured questionnaires between September 26, 2024, and October 18, 2024, and were analyzed using descriptive statistics, independent t-tests, one-way analysis of variance, Pearson’s correlation coefficient, and hierarchical multiple regression analysis. Results: Burnout showed a correlation with role conflict (r=.45, p<.001), positive psychological capital (r=-.62, p<.001) and authentic leadership (r=-.24, p<.001). In the regression analysis, the factors significantly associated with burnout included conflict with patients/guardians (β=.24, p<.001) and conflict regarding nursing practices (β=.22, p<.001), which are subdomains of role conflict. Among the components of positive psychological capital, optimism (β=-.37, p<.001) was identified as a significant protective factor against burnout. However, authentic leadership was not found to be a statistically significant predictor. Conclusion: To effectively manage nurse burnout, it is essential to develop strategic programs that focus on enhancing optimism. Furthermore, establishing clear delegation guidelines between nurses and nursing assistants is recommended.

Purpose
This study aimed to explore the effects of presenteeism, burnout, and nursing performance on intention to retention among nurses of an intensive care unit in one tertiary hospital.
Method
The data were collected from from July 1 to July 31, 2023, from 172 nurses at intensive care units. Data were analyzed using the SPSS/WIN 26.0 program.
Results
A four-step hierarchical regression model, including control variables, presenteeism, burnout, and nursing performance, accounted for 44.9% of the factors influencing intention to retention. Burnout (β=-.54, p<.001), nursing performance (β=.21, p=.002), health problem (β=-.07, p=.040), and experience of turnover (β=-.16, p=.008) were identified as the significant predictor of intention to retention. Model III, which adds burnout, has a significant 23.5%p increase in explanatory power over Model II, indicating that burnout has the strongest impact on intention to retention.
Conclusion
For enhancing the intention to retention of the intensive care nurses, it is necessary to provide a systematic strategy and support to increase the performance of nurses and to try to reduce the burnout and health problems of nurses.