A Meta-Analysis of Factors Related to Job Satisfaction: Focused on Korean Nurses

影响工作满意度的因素的荟萃分析:以韩国护士为例

阅读:1

Abstract

BACKGROUND: Nurses comprise the majority of the healthcare workforce, and their job satisfaction can have a substantial impact on patient health. METHODS: This study aimed to provide a comprehensive overview of studies that performed statistical analyses focused on the job satisfaction of nurses and relevant factors, as well as synthesizing existing data. Overall, 144 studies published between 1986 and 2018 were reviewed for qualitative synthesis. RESULTS: The most frequently measured variable was job stress, followed by burnout and turnover intention. Overall, 53 studies published between 1994 and 2018 were reviewed for quantitative synthesis. In the meta-analysis, the weighted mean effect size using a random-effects model was moderate for all variables: -0.539, -0.484, and -0.395 for burnout, turnover intention, and job stress, respectively. CONCLUSION: The results revealed a long history of variables related to job satisfaction among Korean nurses since data retrieval was not subject to any restrictions. These findings can be used as evidence for the formulation of policies to enhance the retention of nurses committed to their profession. Further, they can facilitate stable workforce management in healthcare.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。