Factors influencing the turnover intention for disease control and prevention workers in Northeast China: an empirical analysis based on logistic-ISM model

作者：Ruiqian Zhuge, Yanping Wang, Yiran Gao, Qunkai Wang, Yuxuan Wang, Nan Meng, Yu Cui, Qiujin Huang, Kexin Wang, Qunhong Wu · 发表于：BMC Health Services Research · 年份：2024 · DOI：10.1186/s12913-024-11738-x · 被引用次数：5 · 研究领域：Workplace Health and Well-being、Job Satisfaction and Organizational Behavior、Employment and Welfare Studies

PURPOSE: This study aimed to determine the current turnover intention among workers at Centers for Disease Control and Prevention (CDCs) in Northeast China and to investigate the factors contributing to this phenomenon. MATERIALS AND METHODS: The cross-sectional study was conducted in May 2023 across four northeastern provinces of China. The study included a total of 11,912 valid participants who were CDC workers selected using a stratified cluster sampling method. The study assessed demographics, turnover intention, work resources, work perceptions, and psychological support through online questionnaires. The binary logistic regression analysis identified the factors associated with turnover intention for CDC workers, while the Interpretative Structural Modelling (ISM) revealed the hierarchical relationship between the influencing factors. RESULTS: The study found that 28.8% of the respondents reported high turnover intention. The binary logistic regression suggested that the risk factors of turnover intention among employees included gender, age, education, and several work-related, organizational, and psychological factors. The work-related factors were daily working hours, job burnout, and role overload. The organizational factor was unit support for training, unit's infrastructure conditions, leadership style, remuneration package and performance appraisal and promotion system. The psychological support factors were family support, professional identity, and organization...