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다수준 생존분석을 이용한 신규 간호사 이직 영향요인

Other Titles
 Predictors of Turnover among New Nurses using Multilevel Survival Analysis 
Authors
 김수희  ;  이경은 
Citation
 JOURNAL OF KOREAN ACADEMY OF NURSING, Vol.46(5) : 733-743, 2016 
Journal Title
JOURNAL OF KOREAN ACADEMY OF NURSING
ISSN
 1598-2874 
Issue Date
2016
MeSH
Adult ; Female ; Hospitals ; Humans ; Income ; Interpersonal Relations ; Job Satisfaction ; Male ; Nurses/psychology ; Nurses/statistics & numerical data* ; Personnel Turnover/statistics & numerical data* ; Proportional Hazards Models ; Retrospective Studies ; Salaries and Fringe Benefits ; Workload ; Young Adult
Keywords
Employee Turnover ; Multilevel Analysis ; Nurses ; Survival Analysis
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.
Files in This Item:
T201604553.pdf Download
DOI
10.4040/jkan.2016.46.5.733
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
Kim, Su Hee(김수희)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551
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