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다수준 생존분석을 이용한 신규 간호사 이직 영향요인 ; Predictors of Turnover among New Nurses using Multilevel Survival Analysis

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: 다수준 생존분석을 이용한 신규 간호사 이직 영향요인 ; Predictors of Turnover among New Nurses using Multilevel Survival Analysis
Συνεισφορές: College of Nursing, Dept. of Nursing Environment Systems, Kim, Su Hee
Στοιχεία εκδότη: 한국간호과학회
Korea
Έτος έκδοσης: 2016
Θεματικοί όροι: 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, Employee Turnover, Multilevel Analysis, Nurses, Survival Analysis
Περιγραφή: 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. ; open
Τύπος εγγράφου: article in journal/newspaper
Γλώσσα: Korean
Relation: JOURNAL OF KOREAN ACADEMY OF NURSING; J04043; 2008~; ~1998 대한간호학회지; https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551; T201604553
DOI: 10.4040/jkan.2016.46.5.733
Διαθεσιμότητα: https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551
https://doi.org/10.4040/jkan.2016.46.5.733
Rights: CC BY-NC-ND 2.0 KR ; https://creativecommons.org/licenses/by-nc-nd/2.0/kr/
Αριθμός Καταχώρησης: edsbas.96C76CEB
Βάση Δεδομένων: BASE
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  Availability: 0
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  – Url: https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551#
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IllustrationInfo
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  Label: Title
  Group: Ti
  Data: 다수준 생존분석을 이용한 신규 간호사 이직 영향요인 ; Predictors of Turnover among New Nurses using Multilevel Survival Analysis
– Name: Author
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  Data: College of Nursing<br />Dept. of Nursing Environment Systems<br />Kim, Su Hee
– Name: Publisher
  Label: Publisher Information
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  Data: 한국간호과학회<br />Korea
– Name: DatePubCY
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  Data: 2016
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  Data: <searchLink fieldCode="DE" term="%22Adult%22">Adult</searchLink><br /><searchLink fieldCode="DE" term="%22Female%22">Female</searchLink><br /><searchLink fieldCode="DE" term="%22Hospitals%22">Hospitals</searchLink><br /><searchLink fieldCode="DE" term="%22Humans%22">Humans</searchLink><br /><searchLink fieldCode="DE" term="%22Income%22">Income</searchLink><br /><searchLink fieldCode="DE" term="%22Interpersonal+Relations%22">Interpersonal Relations</searchLink><br /><searchLink fieldCode="DE" term="%22Job+Satisfaction%22">Job Satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Male%22">Male</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%2Fpsychology%22">Nurses/psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%2Fstatistics+%26+numerical+data%22">Nurses/statistics & numerical data</searchLink><br /><searchLink fieldCode="DE" term="%22Personnel+Turnover%2Fstatistics+%26+numerical+data%22">Personnel Turnover/statistics & numerical data</searchLink><br /><searchLink fieldCode="DE" term="%22Proportional+Hazards+Models%22">Proportional Hazards Models</searchLink><br /><searchLink fieldCode="DE" term="%22Retrospective+Studies%22">Retrospective Studies</searchLink><br /><searchLink fieldCode="DE" term="%22Salaries+and+Fringe+Benefits%22">Salaries and Fringe Benefits</searchLink><br /><searchLink fieldCode="DE" term="%22Workload%22">Workload</searchLink><br /><searchLink fieldCode="DE" term="%22Young+Adult%22">Young Adult</searchLink><br /><searchLink fieldCode="DE" term="%22Employee+Turnover%22">Employee Turnover</searchLink><br /><searchLink fieldCode="DE" term="%22Multilevel+Analysis%22">Multilevel Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nurses%22">Nurses</searchLink><br /><searchLink fieldCode="DE" term="%22Survival+Analysis%22">Survival Analysis</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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. ; open
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  Data: article in journal/newspaper
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  Data: Korean
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  Label: Relation
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  Data: JOURNAL OF KOREAN ACADEMY OF NURSING; J04043; 2008~; ~1998 대한간호학회지; https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551; T201604553
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  Data: 10.4040/jkan.2016.46.5.733
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  Data: https://ir.ymlib.yonsei.ac.kr/handle/22282913/152551<br />https://doi.org/10.4040/jkan.2016.46.5.733
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  Data: CC BY-NC-ND 2.0 KR ; https://creativecommons.org/licenses/by-nc-nd/2.0/kr/
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  Data: edsbas.96C76CEB
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        Value: 10.4040/jkan.2016.46.5.733
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      – Text: Korean
    Subjects:
      – SubjectFull: Adult
        Type: general
      – SubjectFull: Female
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      – SubjectFull: Hospitals
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      – SubjectFull: Job Satisfaction
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      – SubjectFull: Nurses/statistics & numerical data
        Type: general
      – SubjectFull: Personnel Turnover/statistics & numerical data
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      – SubjectFull: Young Adult
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      – SubjectFull: Nurses
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      – SubjectFull: Survival Analysis
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    Titles:
      – TitleFull: 다수준 생존분석을 이용한 신규 간호사 이직 영향요인 ; Predictors of Turnover among New Nurses using Multilevel Survival Analysis
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            NameFull: Dept. of Nursing Environment Systems
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              Y: 2016
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