title: [Predictors of Turnover among New Nurses using Multilevel Survival Analysis].
abstract: OBJECTIVE
  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.
  
  
  CONCLUSIONS
  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.
authors.affiliation: College of Nursing·Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea.
authors.forename: Suhee
authors.initials: S
authors.lastname: Kim
authors.affiliation: Department of Nursing, Tongmyong University, Busan, Korea. leekyongeun@gmail.com.
authors.forename: Kyongeun
authors.initials: K
authors.lastname: Lee
mesh_terms: D000328:Adult; D005260:Female; D006761:Hospitals; D006801:Humans; D007182:Income; D007398:Interpersonal Relations; D007588:Job Satisfaction; D008297:Male; D009726:Nurses / Q000523:psychology / Q000706:statistics & numerical data*; D010563:Personnel Turnover / Q000706:statistics & numerical data*; D016016:Proportional Hazards Models; D012189:Retrospective Studies; D012456:Salaries and Fringe Benefits; D016526:Workload; D055815:Young Adult
keywords: Employee Turnover; Multilevel Analysis; Nurses; Survival Analysis