ArticleJournal of nursing management2024
Effects of Job Crafting and Leisure Crafting on Nurses' Burnout: A Machine Learning-Based Prediction Analysis.
Article in Journal of nursing management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systemic Organizational Changes in Health Care and Their Implications for Job Crafting in Nursing: A Systematic Review.Journal of nursing management · 2026Pooled it
- Data Analytics and Administrative Decision-Making in Nursing Management: A Systematic Review.Journal of nursing management · 2025Pooled it
- Research on job crafting among clinical nurses in China and its correlation with empowering leadership: A cross-sectional study.Medicine · 2026Article
- Machine learning in the analysis of mental health at work: a scoping review.Journal of occupational health · 2026Article
- Predicting burnout in radiology nurses: an interpretable machine learning model developed and externally validated in a multi-center study.Frontiers in public health · 2026Article
- The Relationship Between Job Crafting, Work Engagement, and Psychological Well-Being Among Nurses in Saudi Arabia: A Structural Equational Modeling.Journal of healthcare leadership · 2026Article
- A machine learning approach to behavioral signals of burnout in audit and control professions.Frontiers in psychology · 2026Article
- Evaluating the association between job stress and presenteeism among nurses: the mediating role of emotional exhaustion and the moderating effect of leisure crafting.Frontiers in public health · 2026Article
- Identifying Key Predictors and Developing a Machine Learning Model for Nurse Burnout in China.Journal of nursing management · 2026Article
- Impact of job crafting and work engagement on the mental and physical health of palliative care nurses.BMC nursing · 2025Article
- Job Crafting in Nursing: A Conceptual Analysis for Theoretical Advancements in Nursing Practice.Journal of nursing management · 2025Review
- The relationship between emotional exhaustion and job embeddedness in nurses: the mediating role of decent work perception and the moderating role of job crafting.Frontiers in psychology · 2025Article
- Correlations between capability face pressure, job crafting, and burnout among orthopedic nurses.Frontiers in public health · 2025Article
- Navigating Society 5.0: Integrating Strength-Based Leadership and Job Crafting for Improved Nursing Outcomes.Journal of nursing management · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To explore the status of job crafting, leisure crafting, and burnout among nurses and to examine the impact of job crafting and leisure crafting variations on burnout using machine learning-based models. Background: The prevalence of burnout among nurses poses a severe risk to their job performance, quality of healthcare, and the cohesiveness of nurse teams. Numerous studies have explored factors influencing nurse burnout; however, few involved job crafting and leisure crafting synchronously and elucidated the effect differences of the two crafting behaviors on nurse burnout. Methods: Multicentre cross-sectional survey study. Nurses ( Results: Nurses experienced mild to moderate levels of burnout and moderate to high levels of job crafting and leisure crafting. The AUC (in full) for the four models was from 0.809 to 0.821, among which the gradient boosting tree performed best, with 0.821 AUC, 0.739 accuracy, 0.470 sensitivity, 0.919 specificity, and 0.161 Brier. All models showed that job crafting was the most important predictor for burnout, while leisure crafting was identified as the second important predictor for burnout in the random forest model and gradient boosting tree model. Conclusion: Even if nurses experienced mild to moderate burnout, nurse managers should develop efficient interventions to reduce nurse burnout. Job crafting and leisure crafting may be beneficial preventative strategies against burnout among nurses at present.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.