Literature DB >> 21204977

Moving on? Predictors of intent to leave among rural and remote RNs in Canada.

Norma J Stewart1, Carl D'Arcy, Julie Kosteniuk, Mary Ellen Andrews, Debra Morgan, Dorothy Forbes, Martha L P Macleod, Judith C Kulig, J Roger Pitblado.   

Abstract

CONTEXT: Examination of factors related to the retention or voluntary turnover of Registered Nurses (RNs) has mainly focused on urban, acute care settings.
PURPOSE: This paper explored predictors of intent to leave (ITL) a nursing position in all rural and remote practice settings in Canada. Based on the conceptual framework developed for this project, potential predictors of ITL were related to the individual RN worker, the workplace, the community context, and satisfaction related to both the workplace and the community(s) within which the RN lived and worked.
METHODS: A national cross-sectional mail survey of RNs in rural and remote Canada provided the data (n = 3,051) for the logistic regression analysis of predictors of ITL.
FINDINGS: We found that RNs were more likely to plan to leave their nursing position within the next 12 months if they: were male, reported higher perceived stress, did not have dependent children or relatives, had higher education, were employed by their primary agency for a shorter time, had lower community satisfaction, had greater dissatisfaction with job scheduling, had lower satisfaction with their autonomy in the workplace, were required to be on call, performed advanced decisions or practice, and worked in a remote setting.
CONCLUSIONS: The statistical evidence for predictors of ITL supported our framework with determinants related to the individual, the workplace, the community, and satisfaction levels. The importance of community makes this framework uniquely relevant to the rural health context. Our findings should guide policy makers and employers in developing retention strategies.
© 2010 National Rural Health Association.

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Year:  2011        PMID: 21204977     DOI: 10.1111/j.1748-0361.2010.00308.x

Source DB:  PubMed          Journal:  J Rural Health        ISSN: 0890-765X            Impact factor:   4.333


  17 in total

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