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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Nursing M...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Nursing Management
Article . 2015 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Predictors of nurses’ intentions to leave the organisation and the profession in Turkey

Authors: Yurumezoglu, HAVVA; Kocaman, Gulseren;

Predictors of nurses’ intentions to leave the organisation and the profession in Turkey

Abstract

To examine the predictors of nurses' intention to leave the organisation and intention to leave the profession in Turkey.Although numerous studies have investigated nurses' intention to leave the organisation and intention to leave the profession, knowledge about the predictors of nurses' intention to leave remains insufficient.A descriptive cross-sectional research design was conducted based on a sample of 799 nurses at 16 hospitals. Data were collected through a questionnaire including questions about nurse characteristics, the intention to leave the organisation and the intention to leave the profession, job satisfaction and the Maslach burnout index and the practice environment scale of the nursing work index. Data were evaluated using a stepwise logistic regression analysis.Dissatisfaction, the number of years worked at the organisation, emotional exhaustion, depersonalisation, collegial nurse-physician relationships and the adequacy of staffing and resources were predictors of nurses' intention to leave the organisation (R(2) = 44%), whereas dissatisfaction and emotional exhaustion were predictors of nurses' intention to leave the profession (R(2) = 27%).Although there were differences between the patterns of nurses' intention to leave the organisation and intention to leave the profession, dissatisfaction and emotional exhaustion were common across both groups and were the most important predictors of nurses' intention to leave.Managers should focus on approaches that will increase satisfaction and prevent burnout in nurses. Nurse managers should consider nurses' suggestions when developing plans related to staffing and resources and should encourage interdisciplinary cooperation.

Country
Turkey
Keywords

Adult, Adolescent, Turkey, Attitude of Health Personnel, Personnel Turnover, Intention, Middle Aged, Nursing Staff, Hospital, Job Satisfaction, Young Adult, Cross-Sectional Studies, Logistic Models, Humans, Burnout, Professional

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
64
Top 10%
Top 10%
Top 10%
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