A meta-analysis on predictors of turnover intention of hospital nurses in South Korea (2000-2020).

Aims: To identify the predictors of Registered Nurses' turnover intention and analyse the effect sizes.

Design: A systematic review and meta-analysis of previous research, conducted to comprehensively identify the predictors of turnover intention.

Methods: In total, 417 studies from 1 January 2000 to 30 April 2020 that investigated predictors of turnover intention of South Korean nurses were reviewed. The data were analysed using the R statistical package. Network graphs were used to analyse the relationships among turnover predictors, and meta-analysis was performed to determine the effect sizes of the correlations.

Results: This review analysed common predictors identified in previous studies. Burnout (0.541), emotional exhaustion (0.511), job stress (0.390) and career plateau (0.386) showed positive effect sizes, while organizational commitment (-0.540), person-organizational fit (-0.521), career commitment (-0.508), work engagement (-0.503), job satisfaction (-0.491) and job embeddedness (-0.483) showed negative effect sizes.