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Kim and Lee: Predictors of Turnover among New Nurses using Multilevel Survival Analysis
Original Article

Journal of Korean Academy of Nursing 2016; 46(5): 733-743.

Published online: 31 October 2016

DOI: https://doi.org/10.4040/jkan.2016.46.5.733

Predictors of Turnover among New Nurses using Multilevel Survival Analysis

Suhee Kim1, Kyongeun Lee2

1College of Nursing·Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea.

2Department of Nursing, Tongmyong University, Busan, Korea.

Address reprint requests to : Lee, Kyongeun. Department of Nursing, Tongmyong University, 428 Sinseon-ro, Nam-gu, Busan 48520, Korea. Tel: +82-51-629-2686, Fax: +82-51-629-2679, leekyongeun@gmail.com

Received 17 November 2015       Revised 5 August 2016       Accepted 8 August 2016

© 2016 Korean Society of Nursing Science

(open-access):

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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.

Keywords: Nurses, Employee Turnover, Survival Analysis, Multilevel Analysis

Figures and Tables

Table 1

Turnover by General and Job-related Characteristics of Nurses (N=323)

jkan-46-733-i001

*Fisher's exact test.

Table 2

Characteristics of Region (N=16)

jkan-46-733-i002
Table 3

Turnover by Characteristics of Region (N=323)

jkan-46-733-i003
Table 4

Multilevel Survival Analysis of New Nurses'Turnover

jkan-46-733-i004

HR=Hazard ratio; CI=Confidence interval.

Notes

CONFLICTS OF INTEREST The authors declared no conflict of interest.

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