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다수준 생존분석을 이용한 신규 간호사 이직 영향요인

DC Field Value Language
dc.contributor.author김수희-
dc.date.accessioned2017-10-26T07:49:19Z-
dc.date.available2017-10-26T07:49:19Z-
dc.date.issued2016-
dc.identifier.issn1598-2874-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/152551-
dc.description.abstractPURPOSE: 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.-
dc.description.statementOfResponsibilityopen-
dc.languageKorean-
dc.publisher한국간호과학회-
dc.relation.isPartOfJOURNAL OF KOREAN ACADEMY OF NURSING-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHAdult-
dc.subject.MESHFemale-
dc.subject.MESHHospitals-
dc.subject.MESHHumans-
dc.subject.MESHIncome-
dc.subject.MESHInterpersonal Relations-
dc.subject.MESHJob Satisfaction-
dc.subject.MESHMale-
dc.subject.MESHNurses/psychology-
dc.subject.MESHNurses/statistics & numerical data*-
dc.subject.MESHPersonnel Turnover/statistics & numerical data*-
dc.subject.MESHProportional Hazards Models-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSalaries and Fringe Benefits-
dc.subject.MESHWorkload-
dc.subject.MESHYoung Adult-
dc.title다수준 생존분석을 이용한 신규 간호사 이직 영향요인-
dc.title.alternativePredictors of Turnover among New Nurses using Multilevel Survival Analysis-
dc.typeArticle-
dc.publisher.locationKorea-
dc.contributor.collegeCollege of Nursing-
dc.contributor.departmentDept. of Nursing Environment Systems-
dc.contributor.googleauthor김수희-
dc.contributor.googleauthor이경은-
dc.identifier.doi10.4040/jkan.2016.46.5.733-
dc.contributor.localIdA00645-
dc.relation.journalcodeJ04043-
dc.relation.journalsince2008~-
dc.identifier.pmid27857016-
dc.relation.journalbefore~1998 대한간호학회지-
dc.subject.keywordEmployee Turnover-
dc.subject.keywordMultilevel Analysis-
dc.subject.keywordNurses-
dc.subject.keywordSurvival Analysis-
dc.contributor.alternativeNameKim, Su Hee-
dc.contributor.affiliatedAuthorKim, Su Hee-
dc.citation.volume46-
dc.citation.number5-
dc.citation.startPage733-
dc.citation.endPage743-
dc.identifier.bibliographicCitationJOURNAL OF KOREAN ACADEMY OF NURSING, Vol.46(5) : 733-743, 2016-
dc.date.modified2017-10-24-
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
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