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Journal of Nursing Management
Article
License: CC BY
Data sources: UnpayWall
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Journal of Nursing Management
Article . 2019 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
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Push and pull factors of nurses' intention to leave

Authors: Watson, Roger; Sasso, Loredana; Bagnasco, Annamaria; Catania, Gianluca; Zanini, Milko; Aleo, Giuseppe; the RN4CAST@IT Working Group;

Push and pull factors of nurses' intention to leave

Abstract

To expand knowledge about the predictive factors of nurses' intention to leave their job and consequently to turnover.Nurse turnover is costly and negatively influences quality of care. Understanding the association between intention to leave and modifiable features of hospital organisation may inform strategies to reduce turnover.A cross-sectional survey of 3,667 medical and surgical nurses was conducted in Italy. Measures included intention to leave; work environment; burnout; job satisfaction; and missed care using the RN4CAST instruments. Descriptive, logistic regression analysis was used.Due to job dissatisfaction, 35.5% of the nurses intended to leave their current job, and of these, 33.1%, the nursing profession. Push factors included the following: understaffing, emotional exhaustion, poor patient safety, performing non-nursing care and being male. Pull factors included the following: positive perception of quality and safety of care, and performing core nursing activities.The present study expands knowledge about the predictive factors of nurses' intention to leave their job and consequently to turnover, which is one of today's major issues contributing to the shortage of nurses.Nurses' intention to leave their job is the consequence of a poor work environment, characterized by factors such as understaffing and performance of non-nursing activities.

Countries
Italy, United Kingdom
Related Organizations
Keywords

Adult, Male, Job dissatisfaction, 330, Work environment, Emotional exhaustion, Nurses, Personnel Turnover, Intention, Middle Aged, Intention to leave, Job Satisfaction, 301, Cross-Sectional Studies, Logistic Models, Italy, emotional exhaustion, intention to leave, job dissatisfaction, non-nursing activities, work environment, Non-nursing activities, Humans, Female, Workplace

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
239
Top 0.1%
Top 1%
Top 1%
Green
hybrid