灾害期间临床护士住院意愿的理论模型:结构方程建模方法

IF 4.4 2区 医学 Q2 MANAGEMENT Journal of Nursing Management Pub Date : 2025-01-23 DOI:10.1155/jonm/7776477
Hyerine Shin, Kyunghee Kim, Suk Jeong Lee, Park So Hyun, Changwon Lim, Hyun Jun Kim, Ji-Su Kim
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引用次数: 0

摘要

背景:随着灾害发生的频率和严重程度的增加,留住熟练的护士对于在危机时期维持卫生保健系统至关重要。鉴于行为在很大程度上受意向的影响,需要一个护士留院意向(ITS)的预测模型。目的:本研究旨在建立并验证一个综合结构模型来解释临床护士在灾害中的ITS。该模式解决了在危机期间了解和加强护士保留的关键需求。方法:在横断面研究中,549名在COVID-19大流行期间工作的护士参与了研究。这些数据是在2024年3月5日至15日通过网络自我报告调查收集的。采用SPSS/WIN 23.0和AMOS 28.0进行因子分析、模型拟合确认和路径显著性分析。采用两步方法验证假设模型。结果:团队凝聚力显著影响组织承诺、授权和工作满意度。充足的人员和资源对于影响道德困境和组织承诺至关重要。工作满意度和组织承诺对ITS有直接影响,团队凝聚力对ITS有间接影响。路径分析表明,充足的人员配备和资源显著影响组织承诺,而适应性领导、充足的人员配备和灾难护理能力显著影响工作满意度。该模型解释了71.4%的护士在灾难期间留下来的意愿差异。结论:本研究强调组织承诺是临床护士在灾难中留下意愿的最强预测因子。对护理和/或卫生政策的影响:为了确保灾害情况下稳定和熟练的护理队伍,必须促进组织承诺。策略应侧重于增强团队凝聚力,提供足够的人员和资源,并支持临床护士的组织承诺。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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A Theoretical Model of Clinical Nurses’ Intentions to Stay During Disasters: A Structural Equation Modeling Approach

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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来源期刊
CiteScore
9.40
自引率
14.50%
发文量
377
审稿时长
4-8 weeks
期刊介绍: The Journal of Nursing Management is an international forum which informs and advances the discipline of nursing management and leadership. The Journal encourages scholarly debate and critical analysis resulting in a rich source of evidence which underpins and illuminates the practice of management, innovation and leadership in nursing and health care. It publishes current issues and developments in practice in the form of research papers, in-depth commentaries and analyses. The complex and rapidly changing nature of global health care is constantly generating new challenges and questions. The Journal of Nursing Management welcomes papers from researchers, academics, practitioners, managers, and policy makers from a range of countries and backgrounds which examine these issues and contribute to the body of knowledge in international nursing management and leadership worldwide. The Journal of Nursing Management aims to: -Inform practitioners and researchers in nursing management and leadership -Explore and debate current issues in nursing management and leadership -Assess the evidence for current practice -Develop best practice in nursing management and leadership -Examine the impact of policy developments -Address issues in governance, quality and safety
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