Associations of Individual and Team-Level Resources With Turnover Intention in Nurses: A Multilevel Analysis
Lan Gao1, Zhiwei Wang1,2, Siya Meng1
1School of Nursing and Rehabilitation, Shandong University, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Introduction:
Turnover intention among nurses poses a significant threat to both workforce stability and the overall quality of healthcare delivery. However, few studies have comprehensively examined the associations between turnover intention and nurses' individual and team-level resources within a multilevel framework. Our study aims to provide an in-depth exploration of the relationship between turnover intention and nurses' individual and team-level resources.
Design:
The multicenter cross-sectional study adopted a stratified convenience sampling approach to enroll 773 clinical nurses from 62 teams across eight hospitals in Shandong Province, China.
Methods:
We used the 10-item Connor-Davidson Resilience Scale for psychological resilience, the Perceived Social Support Scale for perceived social support, the 51-item Analyzing and Developing Adaptability and Performance in Teams to Enhance Resilience Scale for team resilience, and a single-item turnover intention measure. Multilevel logistic regression modeling was conducted to examine the simultaneous impacts of individual-level (psychological resilience and perceived social support) and team-level (team resilience) factors on turnover intention, while controlling for key demographic and organizational covariates.
Results:
The multilevel analysis revealed several key findings: (1) The prevalence of turnover intention reached 35.6%, indicating a substantial workforce stability challenge; (2) Multilevel modeling demonstrated significant between-team variance (ICC = 0.19), confirming the importance of examining nested data structures; (3) At the individual level, both psychological resilience (OR = 0.78, CI: 0.62-0.99) and perceived social support (OR = 0.75, CI: 0.60-0.94) showed significant negative associations with turnover intention; (4) At the team level, higher team resilience predicted lower turnover intention (OR = 0.73, CI: 0.56-0.94). These results were obtained after controlling for key demographic and organizational covariates, highlighting the robust protective effects of multilevel resources against nurses' turnover propensity.
Conclusion:
The prevalence of turnover intention was relatively high in this study. Nurses with higher psychological resilience, perceived social support, and team resilience exhibited lower turnover intention. Healthcare administrators need to increase investments in nurses' multilevel resources to stabilize the nursing workforce and ensure the sustainability of the healthcare system.
Clinical Relevance:
Understanding the multi-level factors influencing nurses' turnover intention can help nursing managers develop targeted strategies from multiple perspectives in clinical settings, thereby reducing nurses' turnover intention.
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