An Exploration of Job, Organizational, and Environmental Factors Associated With High and Low Nursing Assistant Turnover

Purpose: This article examines factors that distinguish nursing facilities with very high and very low nursing assistant turnover rates from a middle referent group, exploring the possibility that high and low turnover are discrete phenomena with different antecedents. Design and Methods: Data from...

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Bibliographic Details
Published in:The Gerontologist 2002-04, Vol.42 (2), p.159-168
Main Authors: Brannon, Diane, Zinn, Jacqueline S., Mor, Vincent, Davis, Jullet
Format: Article
Language:English
Subjects:
Allied Health Personnel
Data Collection
Environment
Environmental Factors
Environmental Influences
Health Professions
Humans
Job Change
Labor Turnover
Long Term Care
Models, Nursing
Nursing assistant turnover
Nursing Assistants
Nursing Homes
Organizational Climate
Organizational Structure
Paraprofessional Workers
Personnel Turnover - statistics & numerical data
Quality of service
Regression (Statistics)
Staff turnover
Turnover
Work
Work Environment
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Summary:Purpose: This article examines factors that distinguish nursing facilities with very high and very low nursing assistant turnover rates from a middle referent group, exploring the possibility that high and low turnover are discrete phenomena with different antecedents. Design and Methods: Data from a stratified sample of facilities in eight states, with directors of nursing as respondents (N = 288), were merged with facility-level indicators from the On-Line Survey Certification of Automated Records and county-level data from the Area Resource File. Multinominal logistic regression was used to identify factors associated with low (less than 6.6% in 6 months) and high (more than 64% in 6 months) turnover rates. Results: With the exception of registered nurse turnover rate, low turnover and high turnover were not associated with the same factors. Implications: Future studies of facility turnover should avoid modeling turnover as a linear function of a single set of predictors in order to provide clearer recommendations for practice.
ISSN:0016-9013
1758-5341
DOI:10.1093/geront/42.2.159