Journal List > J Korean Acad Nurs > v.46(5) > 1003201

Kim and Lee: Predictors of Turnover among New Nurses using Multilevel 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.

Figures and Tables

Table 1

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

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*Fisher's exact test.

Table 2

Characteristics of Region (N=16)

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Table 3

Turnover by Characteristics of Region (N=323)

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Table 4

Multilevel Survival Analysis of New Nurses'Turnover

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HR=Hazard ratio; CI=Confidence interval.

Notes

CONFLICTS OF INTEREST The authors declared no conflict of interest.

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