Suhee Kim; Kyongeun Lee

doi:10.4040/jkan.2016.46.5.733

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 46(5); 2016 > Article

Original Article
Predictors of Turnover among New Nurses using Multilevel Survival Analysis: Suhee Kim, Kyongeun Lee; Journal of Korean Academy of Nursing 2016;46(5):733-743.
DOI: https://doi.org/10.4040/jkan.2016.46.5.733
Published online: October 31, 2016

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: November 17, 2015 • Revised: August 5, 2016 • Accepted: August 8, 2016

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.

14 Views
0 Download
23 Scopus

prev next

Full Article

Download PDF

Abstract
NOTES
REFERENCES

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

The authors declared no conflict of interest.

REFERENCES

1. OECD. Health care resources: nursing graduates [Internet]. Seoul, OECD. 2012;cited 2015 May 17. Available from: https://data.oecd.org/healthres/nursing-graduates.htm#indicatorchart
2. Yoon HK, Choi J, Lee EY, Lee H, Park M. Effects of decision making competency, nursing professionalism, and job satisfaction on turnover impulse among nurses. J Korean Acad Nurs Adm. 2013;19(5):658–667. Article
3. Jeong EJ, Chae GS, Noh WJ, Park MM, Cho UY, Kim HJ. A survey on hospital nursing staffing. Business report for Hospital Nurses Association. Seoul: Hospital Nurses Association; 2013.
4. Hayes LJ, O'Brien-Pallas L, Duffield C, Shamian J, Buchan J, Hughes F, et al. Nurse turnover: a literature review–an update. Int J Nurs Stud. 2012;49(7):887–905. Article PubMed
5. Jones CB. Revisiting nurse turnover costs: Adjusting for inflation. J Nurs Adm. 2008;38(1):11–18. PubMed
6. Cho HK, Lee TY, Kim CW. Hospital nurse turnover rate and structural characteristics of hospital. J Korea Acad Ind Coop Soc. 2015;16(1):453–461. Article
7. Zeytinoglu IU, Denton M, Davies S, Baumann A, Blythe J, Boos L. Deteriorated external work environment, heavy workload and nurses' job satisfaction and turnover intention. Can Public Policy. 2007;33(1):S31–S47. http://www.jstor.org/stable/30032503Article
8. Han SS, Sohn IS, Kim NE. New nurse turnover intention and influencing factors. J Korean Acad Nurs. 2009;39(6):878–887. Article PubMed
9. Hwang YS, Kang KH. Factors influencing nurse turnover intention in small and medium sized hospitals in the metropolitan area. J Korean Acad Nurs Adm. 2014;20(5):576–586. Article
10. Lee YJ, Kim KB. Experiences of nurse turnover. J Korean Acad Nurs. 2008;38(2):248–257.Article
11. Kim KM, Yim JY, Kim EJ, Lee YM, Hwang MH, Jang JH, et al. The attitude typology of new nurse to turnover: Q methodological approach. J Hum Subj. 2011;23:163–182.
12. Cho SH, Lee JY, Mark BA, Yun SC. Turnover of new graduate nurses in their first job using survival analysis. J Nurs Scholarsh. 2012;44(1):63–70. Article
13. Cho SH, Lee JY, Mark BA, Lee HY. Geographical imbalances: migration patterns of new graduate nurses and factors related to working in non-metropolitan hospitals. J Korean Acad Nurs. 2012;42(7):1019–1026. Article PubMed
14. Cho SH, Lee JY, Mark BA, Jones CB. Geographic mobility of Korean new graduate nurses from their first to subsequent jobs and metropolitan-nonmetropolitan differences in their job satisfaction. Nurs Outlook. 2014;62(1):22–28. Article PubMed
15. Daouk-Öyry L, Anouze AL, Otaki F, Dumit NY, Osman I. The JOINT model of nurse absenteeism and turnover: a systematic review. Int J Nurs Stud. 2014;51(1):93–110.Article PubMed
16. Locke EA. The nature and causes of job satisfaction. Chicago: Rand McNally; 1976. p. 1297–1349.
17. Park JG, Jang SJ, Lee TY. Public health statistics using SPSS 17.0. Seoul: Gyechuk Munwhasa; 2010. p. 206–207.
18. Snijders TAB, Bosker RJ. Multilevel analysis: An introduction to basic and advanced multilevel modeling. London: Sage; 1999. p. 1–2.
19. Bickel R. Multilevel analysis for applied research: It's just regression. New York: Guilford Press; 2007.07.
20. Kovner CT, Brewer CS, Fatehi F, Jun J. What does nurse turnover rate mean and what is the rate? . Policy Polit Nurs Pract. 2014;15(3-4):64–71. Article PubMed PDF
21. Suh Y, Lee K. Lived experiences of new graduate nurses. J Korean Acad Nurs Adm. 2013;19(2):227–227. Article
22. Han SS, Moon SJ, Yun EK. Empowerment, job satisfaction, and organizational commitment: comparison of permanent and temporary nurses in Korea. Appl Nurs Res. 2009;22(4):e15–e20. Article PubMed
23. Kim WO, Moon SJ, Han SS. Contingent nurses' burnout and influencing factors. J Korean Acad Nurs. 2010;40(6):882–891. Article PubMed
24. Kang KN. Factors influencing turnover intention of nurses in small-medium sized hospitals. J Korean Acad Nurs Adm. 2012;18(2):155–165.Article
25. Bloom JR, Alexander JA, Nuchols BA. The effect of the social organization of work on the voluntary turnover rate of hospital nurses in the United States. Soc Sci Med. 1992;34(12):1413–1424.Article PubMed
26. Kim YM, Kang YS. The relationship among career plateau, selfefficacy, job embeddedness and turnover intention of nurses in small and medium sized hospitals. J Korea Acad Ind Coop Soc. 2013;14(10):5078–5090. Article
27. Kim Y, Lee JY, Kang H. Impact of nurse, nurses' aid staffing and turnover rate on inpatient health outcomes in long term care hospitals. J Korean Acad Nurs. 2014;44(1):21–30. Article PubMed
28. Lee T, Kang KH, Ko YK, Cho SH, Kim EY. Issues and challenges of nurse workforce policy: A critical review and implication. J Korean Acad Nurs Adm. 2014;20(1):106–116.Article
29. Jang JY. Why is the salary of doctors in Ulsan twice higher than that of doctors in Seoul?[Internet]. The Korea Joongang Daily. cited 2016 July 18. Available from: http://news.joins.com/article/20320460
30. Ministry of Health and Welfare. 2016 nursing care integrated services guideline. [Internet]. Seoul, Ministry of Health and Welfare. 2016;cited 2016 July 25. Available from: http://www.nhis.or.kr/bbs7/boards/B0040/18240

Table 1

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

^*Fisher's exact test.

Table 2

Characteristics of Region (N=16)

Table 3

Turnover by Characteristics of Region (N=323)

Table 4

Multilevel Survival Analysis of New Nurses'Turnover

HR=Hazard ratio; CI=Confidence interval.

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Predictors of Turnover among New Nurses using Multilevel Survival Analysis

J Korean Acad Nurs. 2016;46(5):733-743. Published online October 31, 2016

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

XML Download

We recommend

Predictors of Turnover among New Nurses using Multilevel Survival Analysis

Table 1

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

^*Fisher's exact test.

Table 2

Characteristics of Region (N=16)

Table 3

Turnover by Characteristics of Region (N=323)

Table 4

Multilevel Survival Analysis of New Nurses'Turnover

HR=Hazard ratio; CI=Confidence interval.

Table 1 Turnover by General and Job-related Characteristics of Nurses (N=323)

^*Fisher's exact test.

Table 2 Characteristics of Region (N=16)

Table 3 Turnover by Characteristics of Region (N=323)

Table 4 Multilevel Survival Analysis of New Nurses'Turnover

HR=Hazard ratio; CI=Confidence interval.