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Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement

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...

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Autores principales: Chen, Dongxue, Lin, Qian, Yang, Tiecheng, Shi, Lushaobo, Bao, Xiaolu, Wang, Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015103/
https://www.ncbi.nlm.nih.gov/pubmed/35444476
http://dx.doi.org/10.2147/RMHP.S357654
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author Chen, Dongxue
Lin, Qian
Yang, Tiecheng
Shi, Lushaobo
Bao, Xiaolu
Wang, Dong
author_facet Chen, Dongxue
Lin, Qian
Yang, Tiecheng
Shi, Lushaobo
Bao, Xiaolu
Wang, Dong
author_sort Chen, Dongxue
collection PubMed
description 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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spelling pubmed-90151032022-04-19 Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement Chen, Dongxue Lin, Qian Yang, Tiecheng Shi, Lushaobo Bao, Xiaolu Wang, Dong Risk Manag Healthc Policy Original Research 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. Dove 2022-04-14 /pmc/articles/PMC9015103/ /pubmed/35444476 http://dx.doi.org/10.2147/RMHP.S357654 Text en © 2022 Chen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Chen, Dongxue
Lin, Qian
Yang, Tiecheng
Shi, Lushaobo
Bao, Xiaolu
Wang, Dong
Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title_full Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title_fullStr Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title_full_unstemmed Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title_short Distributive Justice and Turnover Intention Among Medical Staff in Shenzhen, China: The Mediating Effects of Organizational Commitment and Work Engagement
title_sort distributive justice and turnover intention among medical staff in shenzhen, china: the mediating effects of organizational commitment and work engagement
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015103/
https://www.ncbi.nlm.nih.gov/pubmed/35444476
http://dx.doi.org/10.2147/RMHP.S357654
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