This study predicts factors affecting new graduate nurses’ work-life balance owing to patient safety incidents using classification and regression tree analysis techniques. Background: Patient safety accidents cause nurses’ performance difficulties in providing nursing practice, which affects work-life balance, causing second and third victimization. Methods: This study was a secondary analysis of data from a cohort research project, which used a descriptive survey for data collection. Participants comprised 372 new graduate nurses. Data were collected from January to September 2021, on the general characteristics of clinical nurses, second damage, second damage support, third damage, and work-life balance using SurveyMonkey, a mobile-based survey software solution. The data were analyzed using Lasso. Variables with low explanatory power were excluded, thereafter, the variables selected by Lasso were analyzed with a classification and regression tree model to predict work-life balance. Results: A regression tree was applied to predict work-life balance using seven variables—education levels, marital status, position, physical distress, second victim support, turnover intentions, and absenteeism (selected through Lasso analysis). After pruning, at tree size four, if turnover intentions were <4.250, physical distress <2.875, and second victim support <2.345, the predicted work-life balance was 3.972. However, if turnover intentions were <4.25, physical distress <2.875, and second victim support ≥2.345, then the predicted work-life balance was 2.76. Conclusions: This study’s results can be used as fundamental data for formulating workforce risk management strategies, such as managing each nurse's occupational stress. Ultimately, they can help improve organizational culture to prevent the recurrence of additional accidents. Authors:
Youngjin Lee, Ajou University, South Korea
Jiwon Kang, University of Minnesota, United States

About the Presenter(s)
Dr Youngjin Lee is a University Professor/Principal Lecturer at Ajou university in South Korea

See this presentation on the full schedule – Schedule

Bookmark