SynthesisFrontiers in public health2024
A systematic review and meta-analysis of the effectiveness of social support on turnover intention in clinical nurses.
Synthesis in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The Experiences and Perceptions of Organizational Support Among Chinese Nurses Following Work-Related Musculoskeletal Disorders: A Qualitative Descriptive Study.Nursing open · 2026Article
- COVID-19 Infection and Professional Commitment Among Clinical Nurses: A Cross-Sectional Study of Work Stress and Social Support in Eastern Taiwan.Nursing reports (Pavia, Italy) · 2026Article
- Dynamics of Occupational Well-Being and Turnover Intention in Long-Term Care: A 12-Month Longitudinal Study of Nursing Assistants.Healthcare (Basel, Switzerland) · 2026Article
- Impact of Social Support Networks on Job Satisfaction, Burnout, and Turnover Intentions in Primary Care Teams.Journal of general internal medicine · 2026Article
- Personal fulfilment, sustainable working conditions and flexible employment prospects as resources for nurses' well-being at work: a qualitative study.Journal of research in nursing : JRN · 2026Article
- Work-Family Conflict and Intention to Leave Among Nursing Professionals: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2026Article
- Work fatigue risk and associated factors among Chinese first-line registered nurses using latent profile analysis: a multicenter cross-sectional study.BMC nursing · 2026Article
- Network analysis of the relationships among burnout, presenteeism, and social support in Chinese pediatric nurses.Frontiers in public health · 2026Article
- The moderating role of professional grief in the relationship between job stress dimensions and turnover intention among nurses.BMC psychology · 2025Article
- "I can't endure it" vs. "I can handle it" - experiencing work fatigue risk for nurses: a qualitative study.BMC nursing · 2025Article
- Mental health and perceived social support among nurses working in primary care.Frontiers in public health · 2025Article
- Role of turnover, downsizing, overtime and night shifts on workplace violence against healthcare workers: a seven-year ecological study.BMC public health · 2024Article
- Development and psychometric properties of a perceived social support scale for nurses returning to work after childbirth.BMC nursing · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Nurse turnover has become a salient issue in healthcare system worldwide and seriously compromises patient outcomes. Social support is considered an effective contributor to alleviate nurse turnover intention (TI). However, the degree of correlation between social support and nurse TI remains elusive. Aims: This study aims to evaluate the strength of the effectiveness of social support on TI among nurses as well as its potential moderators. Design: This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Methods: To obtained qualified studies, two researchers searched Embase, PubMed, Web of science, CINAHL, CNKI, WanFang, and Chinese Medical Journal Full Text Database from inception to January 6, 2024. Meta-analysis, publication bias, and sensitivity analysis were carried out on the included studies using CMA 3.0 software, and the moderating effect was verified through meta-analysis of variance (ANOVA). Results: A total of 38 studies were obtained, involving 63,989 clinical nurses. The comprehensive effect size of the random effect model showed a significant medium negative correlation between social support and TI among nurses ( Conclusion: Social support is negatively associated with TI in nurses. Nursing administrators and the medical community should fully recognize the importance of social support for nurses and take corresponding measures to enhance it, thereby reducing TI and ensuring the stability of the nursing team.
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