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

Abstract

Abstract 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.

Keywords

• employee turnover
• hospitals
• meta‐analysis
• nurses
• predictors