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Staff turnover among hospital nurses
Author(s) -
Cavanagh Stephen J,
Coffin Douglas A
Publication year - 1992
Publication title -
journal of advanced nursing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 155
eISSN - 1365-2648
pISSN - 0309-2402
DOI - 10.1111/j.1365-2648.1992.tb01861.x
Subject(s) - job satisfaction , turnover , bivariate analysis , nursing , turnover intention , work (physics) , psychology , medicine , social psychology , computer science , mechanical engineering , management , machine learning , engineering , economics
Nursing staff turnover remains a financial concern to public as well as private institutions, and it has an impact on staff morale and working practices Evidence suggests that staff turnover could also have a detrimental effect on patient care Numerous studies have examined the reasons why staff leave their jobs, but these have often produced conflicting findings and have frequently relied upon bivariate correlation or multiple regression techniques The availability of analytical techniques such as structural modelling provides an opportunity to examine several aspects of turnover behaviour simultaneously, and overcome some of the methodological difficulties encountered by prior research This study involved 221 female nurses working full‐time in hospitals to examine aspects of the Nursing turnover model Using modelling techniques, this current study found job satisfaction and participation at work to be important variables in the turnover process This is in keeping with other models of Nursing turnover