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Leaving the organization or the profession - a multilevel analysis of nurses' intentions

Leaving the organization or the profession - a multilevel analysis of nurses' intentions
Leaving the organization or the profession - a multilevel analysis of nurses' intentions
Aim. This paper is a report of a study of (i) which variables are associated with the intention to leave the profession (ii) which variables are associated with the intention to leave the organization; and (iii) how the related variables differ between intentions in a secondary analysis of data of the German part of the European Nurses’ Early Exit Study.

Background. Nursing turnover research so far rarely differentiates between leaving the profession or the organization. The identification of specific correlates for different leaving intentions would support better understanding of the turnover process and the development of targeted measures to reduce turnover.

Methods. A secondary data analysis of the German sample of the European Nurses’ Early Exit-Study was performed, using a generalized linear mixed model approach.

Results. Data from 2119 Registered Nurses in 71 departments of 16 hospitals from 2003 were analysed. Models for intentions to leave the profession explained more of the variance (r2 = 0·46) than models for intentions to leave the organization (r2 = 0·28). Both leaving intentions were associated with age, professional commitment and job satisfaction. Intentions to leave the profession were strongly associated with variables related to the personal background and the work/home interface whereas intentions to leave the organization were related to organizational leadership and the local context.

Conclusion.?Retention initiatives should address the work-home interface. Surveys assessing nursing turnover should be based on comprehensive turnover definitions, including different leaving directions.
germany, leaving intentions, nursing personnel, nursing turnover, regression model
0309-2402
616-626
Simon, Michael
6e9ad30e-c22f-455a-945e-98d77dcec479
Müller, Bernd Hans
3cd86913-0147-49db-bc73-ecc416df5e3d
Hasselhorn, Hans Martin
f1c81ea4-92ae-4a15-8254-0ba309847c9d
Simon, Michael
6e9ad30e-c22f-455a-945e-98d77dcec479
Müller, Bernd Hans
3cd86913-0147-49db-bc73-ecc416df5e3d
Hasselhorn, Hans Martin
f1c81ea4-92ae-4a15-8254-0ba309847c9d

Simon, Michael, Müller, Bernd Hans and Hasselhorn, Hans Martin (2010) Leaving the organization or the profession - a multilevel analysis of nurses' intentions. Journal of Advanced Nursing, 66 (3), 616-626. (doi:10.1111/j.1365-2648.2009.05204.x). (PMID:20423396)

Record type: Article

Abstract

Aim. This paper is a report of a study of (i) which variables are associated with the intention to leave the profession (ii) which variables are associated with the intention to leave the organization; and (iii) how the related variables differ between intentions in a secondary analysis of data of the German part of the European Nurses’ Early Exit Study.

Background. Nursing turnover research so far rarely differentiates between leaving the profession or the organization. The identification of specific correlates for different leaving intentions would support better understanding of the turnover process and the development of targeted measures to reduce turnover.

Methods. A secondary data analysis of the German sample of the European Nurses’ Early Exit-Study was performed, using a generalized linear mixed model approach.

Results. Data from 2119 Registered Nurses in 71 departments of 16 hospitals from 2003 were analysed. Models for intentions to leave the profession explained more of the variance (r2 = 0·46) than models for intentions to leave the organization (r2 = 0·28). Both leaving intentions were associated with age, professional commitment and job satisfaction. Intentions to leave the profession were strongly associated with variables related to the personal background and the work/home interface whereas intentions to leave the organization were related to organizational leadership and the local context.

Conclusion.?Retention initiatives should address the work-home interface. Surveys assessing nursing turnover should be based on comprehensive turnover definitions, including different leaving directions.

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Published date: March 2010
Keywords: germany, leaving intentions, nursing personnel, nursing turnover, regression model
Organisations: Health Sciences

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Local EPrints ID: 186185
URI: http://eprints.soton.ac.uk/id/eprint/186185
ISSN: 0309-2402
PURE UUID: 1ff0e372-8f48-4a7a-8a0f-2f5398f5bd57

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Date deposited: 12 May 2011 13:38
Last modified: 14 Mar 2024 03:18

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Author: Michael Simon
Author: Bernd Hans Müller
Author: Hans Martin Hasselhorn

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