ArticleRisk management and healthcare policy2022
Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement.
Article in Risk management and healthcare policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
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Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- A global prevalence of turnover intention among doctors: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- The Effect of Work Engagement and Perceived Organizational Support on Turnover Intention among Nurses: A Meta-Analysis Based on the Price-Mueller Model.Journal of nursing management · 2023Pooled it
- Why Organizational Commitment and Work Values of Veterans Home Caregivers Affect Retention Intentions: A Social Exchange Theory Perspective.Healthcare (Basel, Switzerland) · 2025Article
- The impact of challenge-hindrance research stress on burnout among healthcare workers: the moderating role of perceived organizational support.Frontiers in public health · 2025Article
- What has the appraisal for hospitals brought to job satisfaction of healthcare professionals? A cross-sectional survey in China.BMJ open · 2024Article
- Organizational Justice and Health: A Survey in Hospital Workers.International journal of environmental research and public health · 2022Article
- COVID-19: The effects of perceived organizational justice, job engagement, and perceived job alternatives on turnover intention among frontline nurses.Frontiers in psychology · 2022Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Turnover of medical staff is a vital issue in the global healthcare system. Previous evidence has confirmed the critical effect of distributive justice on turnover intention, but few studies have focused on the mediating mechanism behind this relationship or the medical staff. This study aimed to examine the mediating roles of organizational commitment and work engagement in the relationship between distributive justice and turnover intention of medical staff, and explore potential occupational differences. Methods: Stratified random sampling was adopted to select qualified medical staff from each clinical department of a large general hospital in Shenzhen, China, at a physician-to-nurse ratio of 1:1.5. The medical staff were surveyed using the Distributive Justice Scale, the Organizational Commitment Scale, the Work Engagement Scale, and the Turnover Intention Scale from May to July 2020. Of the 500 medical staff sampled, 480 responded (response rate: 96.00%), and 457 were finally included for analysis (effective response rate: 95.21%). A mediation analysis was performed using Model 6 of the SPSS macro PROCESS program. Results: There were significant positive correlations among distributive justice, organizational commitment, and work engagement and significant negative correlations among distributive justice, organizational commitment, work engagement, and turnover intention. Distributive justice directly and negatively affected the turnover intention of physicians and nurses, but there were occupational differences in the underlying mechanism between distributive justice and turnover intention. Distributive justice indirectly affected turnover intention among physicians mainly through the mediating effect of organizational commitment, and indirectly among nurses through three different pathways: the mediating effect of organizational commitment, the mediating effect of work engagement, and the chain mediating effect of organizational commitment and work engagement. Conclusion: The relationship between distributive justice and turnover intention was found to be mediated by organizational commitment and work engagement among medical staff in Shenzhen, with variations between physicians and nurses. Thus, appropriately targeted interventions are needed for physicians and nurses to reduce turnover intention.
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