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The Effect of Work Engagement and Perceived Organizational Support on Turnover Intention among Nurses: A Meta-Analysis Based on the Price–Mueller Model

离职意向 工作投入 工作(物理) 心理学 员工敬业度 荟萃分析 组织承诺 护理管理 人事变更率 感知组织支持 应用心理学 知识管理 社会心理学 护理部 医学 公共关系 管理 经济 计算机科学 政治学 机械工程 内科学 工程类
作者
Lili Zhu,Huijuan Wang,Ya-Fei Xu,Shu-Ting Ma,Yanyan Luo
出处
期刊:Journal of Nursing Management [Wiley]
卷期号:2023: 1-14 被引量:14
标识
DOI:10.1155/2023/3356620
摘要

To elaborate on the relationship between work engagement, perceived organizational support, and the turnover intention of nurses by analysing some potential moderators. Nurses' turnover intention is negatively impacted by their level of work engagement and perceptions of organizational support. However, it is challenging to reach a consistent conclusion. Data were acquired from six electronic databases. Each study was evaluated using the quality assessment tool for cross-sectional studies of the Agency for Healthcare Research and Quality (AHRQ). STATA 15.0 was used to analyse the data, and a random effects model was used. The groups that included two or more studies were added to the moderator analysis. A total of 40 study articles involving 23,451 participants were included. The turnover intention of nurses was inversely associated with work engagement (coefficient: -0.42) and perceived organizational support (coefficient: -0.32). A substantial moderating role was played by cultural background, economic status, working years, and investigation time (P < 0.05). Work engagement and organizational support significantly reduced turnover intention among nurses. Considering the acute shortage of nurses worldwide, nurses with lower wages, fewer working years, and lower levels of work engagement should be given more attention and support from their organizations. Implications for Nursing Management. The meta-analysis suggested that managers should give their employees a more organizational support and promote their work engagement to motivate nurses' retention intention and maintain a stable workforce with little employee turnover.
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