护理工作参与度、职业生活质量和离职意向:结构方程模型路径分析》。

Holly Wei, Yan Cao, Quinton Carroll, Aaron Wei, Sherry Richardson, Tricia Nwokocha, Jennifer McIntosh, Sonya Renae Hardin
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引用次数: 0

摘要

背景:工作投入、职业生活质量(ProQOL)和离职意向(ITL)对组织行为和结果有重大影响。了解护士工作投入、职业生活质量(ProQOL)和 ITL 之间复杂的相互关系,对于提高护士留用率、工作满意度和患者疗效至关重要。在以往的研究中,主要是单独分析工作投入、职业满意度和 ITL 之间的关系。目的:本研究旨在利用结构方程模型路径分析评估护士的工作投入、ProQOL(同情满意度[CS]、职业倦怠和继发性创伤压力[STS])和 ITL 之间的相互关系:这是一项定量描述性研究。研究使用乌得勒支工作参与量表、ProQOL-5(CS、职业倦怠和 STS)和人口统计学数据表(包括一个单项 ITL 问题)收集了美国注册护士(n = 900)的数据。采用结构方程模型对所提出的理论模型进行了检验:结果:护士的工作投入程度通过 ProQOL 影响 ITL。在中介变量中,职业倦怠(0.31)对 ITL 的总影响最大,其次是 STS(0.12)和 CS(-0.12)。研究发现,职业倦怠和 STS 与 ITL 直接相关,而 CS 与 ITL 间接相关:结论:促进工作投入、解决职业倦怠和 STS 问题以及提高 CS 可以对护士的留任率和工作满意度产生积极影响,并最终提高患者护理质量。医疗保健领导者和政策制定者应实施提高护士参与度、减少职业倦怠和培养同情心满意度的策略,以提高护士留任率并改善组织成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nursing Work Engagement, Professional Quality of Life, and Intent to Leave: A Structural Equation Modeling Pathway Analysis.

Background: Work engagement, professional quality of life (ProQOL), and intent to leave (ITL) significantly impact organizational behaviors and outcomes. Understanding the complex interrelationships among nurse work engagement, ProQOL, and ITL is essential for improving nurse retention, job satisfaction, and patient outcomes. In previous investigations, work engagement, ProQOL, and ITL relationships have primarily been analyzed individually. A more integrated approach is needed to gain a comprehensive understanding of these factors in the nursing profession.

Purpose: This study was designed to evaluate the interrelationships among work engagement, ProQOL (compassion satisfaction [CS], burnout, and secondary traumatic stress [STS]), and ITL in nurses using structural equation modeling path analysis.

Methods: This was a quantitative descriptive study. Data were collected from registered nurses in the United States ( n = 900) using the Utrecht Work Engagement Scale, the ProQOL-5 (CS, burnout, and STS), and a demographics datasheet (including a one-item ITL question). The proposed theoretical model, incorporating major constructs, was tested using structural equation modeling.

Results: Level of work engagement in nurses impacts ITL through ProQOL. Among the mediating variables, burnout (0.31) had the largest total effect on ITL, followed by STS (0.12) and CS (-0.12). Burnout and STS were found to correlate with ITL directly, whereas CS was found to correlate with ITL indirectly.

Conclusions: Promoting work engagement, addressing burnout and STS, and fostering CS can positively influence nurse retention and job satisfaction, ultimately improving patient care quality. Healthcare leaders and policymakers should implement strategies to enhance nurse engagement, reduce burnout, and cultivate compassion satisfaction to increase nurse retention and improve organizational outcomes.

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