ScholarWorks@중앙대학교

초록

Background: With the increasing frequency and severity of disasters, retaining skilled nurses is essential for sustaining healthcare systems in times of crisis. Given that behavior is largely influenced by intention, a predictive model for nurses' intent to stay (ITS) is needed.Aim: This study aimed to develop and validate a comprehensive structural model explaining clinical nurses' ITS during disasters. This model addresses the critical need to understand and enhance nurse retention during crises.Methods: In this cross-sectional study, 549 nurses who worked during the COVID-19 pandemic participated. The data were collected through a web-based self-report survey from March 5 to 15, 2024. Factor analysis, model fit confirmation, and path significance were analyzed using SPSS/WIN 23.0 and AMOS 28.0. A two-step approach was employed to validate the hypothetical model.Results: Group cohesion significantly impacted organizational commitment, empowerment, and job satisfaction. Adequate staffing and resources were crucial in influencing moral distress and organizational commitment. Both job satisfaction and organizational commitment directly affected the ITS, with group cohesion exerting an indirect effect. Path analysis demonstrated that adequate staffing and resources notably influenced organizational commitment, while adaptive leadership, adequate staffing, and disaster nursing competency significantly impacted job satisfaction. The model explained 71.4% of the variance in nurses' intention to stay during disasters.Conclusion: The study highlights that organizational commitment is the strongest predictor of clinical nurses' intent to remain during disasters.Implications for Nursing and/or Health Policy: To ensure a stable and skilled nursing workforce in disaster situations, it is essential to foster organizational commitment. Strategies should focus on enhancing group cohesion, providing adequate staffing and resources, and supporting organizational commitment among clinical nurses.

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