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.