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

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.

Keywords: Burnout; Job satisfaction; Job stress; Nurse; Personnel turnover.