A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020)
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...
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| Format: | Article |
| Language: | English |
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Wiley
2021-09-01
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| Series: | Nursing Open |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/nop2.872 |
| _version_ | 1819132224600014848 |
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| author | Hyeoneui Kim Eun Gyung Kim |
| author_facet | Hyeoneui Kim Eun Gyung Kim |
| author_sort | Hyeoneui Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T09:28:00Z |
| format | Article |
| id | doaj.art-efdee51844c347d1b4d2077338e372d4 |
| institution | Directory Open Access Journal |
| issn | 2054-1058 |
| language | English |
| last_indexed | 2024-12-22T09:28:00Z |
| publishDate | 2021-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | Nursing Open |
| spelling | doaj.art-efdee51844c347d1b4d2077338e372d42022-12-21T18:31:01ZengWileyNursing Open2054-10582021-09-01852406241810.1002/nop2.872A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020)Hyeoneui Kim0Eun Gyung Kim1Seoul National University College of Nursing Seoul South KoreaDepartment of Nursing Chungbuk National University Cheongju South KoreaAbstract 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.https://doi.org/10.1002/nop2.872employee turnoverhospitalsmeta‐analysisnursespredictors |
| spellingShingle | Hyeoneui Kim Eun Gyung Kim A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) Nursing Open employee turnover hospitals meta‐analysis nurses predictors |
| title | A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) |
| title_full | A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) |
| title_fullStr | A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) |
| title_full_unstemmed | A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) |
| title_short | A meta‐analysis on predictors of turnover intention of hospital nurses in South Korea (2000–2020) |
| title_sort | meta analysis on predictors of turnover intention of hospital nurses in south korea 2000 2020 |
| topic | employee turnover hospitals meta‐analysis nurses predictors |
| url | https://doi.org/10.1002/nop2.872 |
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