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.
Purpose The purpose of this study was to establish a structural model explaining the factors affecting advanced beginner-stage nurses' intention to continue employment. This model was designed to provide basic data for improving the intention to continue employment among advanced beginner-stage nurses and to efficiently manage nurses as human resources. Methods In order to construct a hypothetical model, latent factors affecting nurses' intention to continue employment were identified through systematic review and meta-analysis. As a result of systematic review, hypothetical model was constructed with nursing professionalism, calling, work environment, positive psychological capital, and job satisfaction. Structural equation modeling was then conducted through SPSS 25.0, AMOS 22.0, and Mplus 6.12 statistics programs. Results First, none of the pathways affected by nursing professionalism were statistically significant. Second, the final structural model showed fit very well based on the fit indices RMSEA=.062, SRMR=.052, RMR=.048, CFI=0.95, and TLI=0.94. Conclusion This study’s results identified that job satisfaction, calling, work environment, and positive psychological capital affected advanced beginner-stage nurses' intention to continue employment. Among these, job satisfaction was the most powerful variable influencing the decision to continue employment for advanced beginner-stage nurses.
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Purpose The purpose of this study was to identify the effects of self-efficacy, resilience, and nursing work environment on intent to stay among newly graduated nurses. Methods: The participants were 204 newly graduated nurses working in one of three general hospitals in U city, South Korea. Data were collected from August 1 to 31 2018. A self-report questionnaire was used. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression analysis. Results: Factors significantly affecting intent to stay included nurse manager ability, leadership, support of nurses (β=.18, p=.016), nursing foundations for quality of care (β=.18, p=.032), and unwanted department assignment (β=-.194,p.001), and these variables explained 38.4% of intent to stay (F=12.49, p<.001). Conclusion: To increase the retention of newly graduated nurses, hospital and nurse leaders should improve the work environment for nurses, particularly in relation to nurse manager ability, leadership, and support of nurses, and nursing foundations for quality of care. Additionally, nurse leaders can facilitate intent to stay by placing nurses in the department of their choice.
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