Journal of Korean Academy of Nursing (대한간호학회지)

Korean Society of Nursing Science (한국간호과학회)
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Predictors of Turnover among New Nurses using Multilevel Survival Analysis

다수준 생존분석을 이용한 신규 간호사 이직 영향요인

  • Kim, Suhee (College of Nursing.Mo-Im Kim Nursing Research Institute, Yonsei University) ;
  • Lee, Kyongeun (Department of Nursing, Tongmyong University)
  • 김수희 (연세대학교 간호대학.김모임간호학연구소) ;
  • 이경은 (동명대학교 간호학과)
  • Received : 2015.11.17
  • Accepted : 2016.08.08
  • Published : 2016.10.31
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Abstract

Purpose: The purpose of this study was to examine factors influencing new graduate nurse turnover. Methods: This study was carried out as a secondary analysis of data from the 2010 Graduates Occupational Mobility Survey (GOMS). A total of 323 nurses were selected for analysis concerning reasons for turnover. Data were analyzed using descriptive statistics and multilevel survival analysis. Results: About 24.5% of new nurses left their first job within 1 year of starting their jobs. Significant predictors of turnover among new nurse were job status, monthly income, job satisfaction, the number of hospitals in region, and the number of nurses per 100 beds. Conclusion: New graduate nurses are vulnerable to turnover. In order to achieve the best health of the nation, policy approaches and further studies regarding reducing new graduate nurse turnover are needed.

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References

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