ArticleBMC nursing2024
Clinical nurses' work-life balance prediction due to patient safety incidents using classification and regression tree analysis: a secondary data analysis.
Article in BMC nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- The impact of the second victim phenomenon on nurse turnover intentions and absenteeism: a systematic review and meta-analysis.BMC nursing · 2026Article
- Identifying Key Predictors of Nursing Workload in Emergency Infusion Rooms: A Decision Tree Approach.Healthcare (Basel, Switzerland) · 2026Article
- Perception of the patient safety culture among healthcare workers.BMC health services research · 2026Article
- Work-Family Conflict and Intention to Leave Among Nursing Professionals: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Professional quality of life among Norwegian oral health professionals working with torture and abuse survivors and patients with severe dental anxiety.Acta odontologica Scandinavica · 2026Article
- The second victim phenomenon´s impact in male and female healthcare workers: a scoping review.International journal for quality in health care : journal of the International Society for Quality in Health Care · 2025Article
- Effects of Psychosocial and Ergonomic Risk Perceptions in the Hospital Environment on Employee Health, Job Performance, and Absenteeism.Healthcare (Basel, Switzerland) · 2025Article
- Addressing the second victim phenomenon among community pharmacists and its impact on clinical pharmacy practice: a consensus study.International journal of clinical pharmacy · 2025Article
- Examining Nurses' Personality Traits and Work-Life Balance in Türkiye: A Cross-Sectional Study.Journal of nursing management · 2025Observational
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundPatient safety incidents lead to performance difficulties for nurses when providing nursing practice. This affects work-life balance and causes second and third-victimization. This study predicts factors affecting clinical nurses' work-life balance due to patient safety incidents using classification and regression tree analysis techniques.
methodsThis study was a secondary analysis of data from a cohort research project, which used a descriptive survey for data collection. Participants comprised 372 nurses. Data were collected using SurveyMonkey, a mobile-based survey software solution, from January to September 2021. Data included the general characteristics of clinical nurses, second damage, second damage support, third damage, and work-life balance. The specific variables included in the analysis chosen through rigorous Lasso analysis form the foundation for predicting work-life balance. 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.
resultsA regression tree was applied to predict work-life balance using seven variables-education level, marital status, position, physical distress, second-victim support, turnover intentions, and absenteeism (selected through Lasso analysis). After pruning, at tree size four, when turnover intentions were < 4.250, physical distress < 2.875, and second-victim support < 2.345, the predicted work-life balance was 3.972. However, when turnover intentions were < 4.250, physical distress < 2.875, and second-victim support ≥ 2.345, then the predicted work-life balance was 2.760.
conclusionsThis study's insights offer crucial groundwork for crafting targeted workforce risk management strategies and fostering a conducive organizational culture to mitigate nursing occupational stress, potentially curbing the recurrence of patient safety incidents and improving nursing practice while enhancing patient outcomes. Future research should explore second and third victim experiences across various healthcare settings globally to understand their impact on WLB and patient safety outcomes.
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