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A chain mediation model on organizational support and turnover intention among healthcare workers in Guangdong province, China

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posted on 2024-08-15, 02:02 authored by Yuanyuan Chen, Ping Xia, Chaojie LiuChaojie Liu, Chumin Ye, Qi Zeng, Baofang Liang
Introduction: The outbreak of the Coronavirus Disease 2019 pandemic has presented significant difficulties for healthcare workers worldwide, resulting in a higher tendency to quit their jobs. This study aims to investigate the correlation between organizational support, work-family-self balance, job satisfaction, and turnover intention of healthcare professionals in China’s public hospitals. Methods: A cross-sectional survey was conducted on 5,434 health workers recruited from 15 public hospitals in Foshan municipality in China’s Guangdong province. The survey was measured by organizational support, work-family-self balance, job satisfaction, and turnover intention using a five-point Likert scale. The association between organizational support, work-family-self balance, job satisfaction, and turnover intention was investigated using Pearson correlation analysis and mediation analysis through the PROCESS macro (Model 6). Results: Organizational support indirectly affected turnover intention through three pathways: the mediating role of work-family-self balance, job satisfaction, and the chain mediating role of both work-family-self balance and job satisfaction. Conclusion: Health administrators and relevant government sectors should provide sufficient organizational support, enhance work-family-self balance and job satisfaction among healthcare workers, and consequently reduce their turnover intentions.

Funding

The authors would like to sincerely thank all the respondents who participated in this study, as well as the support given by Huanru Chen and Jianhua Huang of the Nanhai District Hospital Management Center in Foshan municipality.

History

Publication Date

2024-06-07

Journal

Frontiers in Public Health

Volume

12

Article Number

1391036

Pagination

9p.

Publisher

Frontiers

ISSN

2296-2565

Rights Statement

© 2024 Chen, Xia, Liu, Ye, Zeng and Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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