Predicting Turnover and Retention in Nursing Home Administrators: Management and Policy Implications
Document Type
Article
Publication Date
1-1-2000
Keywords
Attitudes, Licensure, Recruitment
Abstract
Administrator turnover and its impact on the quality of patient care are important concerns in the nursing home industry. This study evaluates a model to determine which factors, attitudes, and personal characteristics can predict tenure. Responses to a survey from 290 nursing home administrators (NHAs) who furnished data on their previous positions were analyzed using logistic regression methods. The extracted model correlates tenure with the administrator's past patterns of stability, community attachment, organizational commitment, and facility performance. The model is particularly effective (85% accuracy) in flagging NHAs who are likely to depart within their first 3 years of employment. Implications of these findings for recruitment, retention, and licensure policy are discussed.
Journal Title
Gerontologist
Volume
40
Issue
3
First Page
310
Last Page
319
DOI
https://doi.org/10.1093/geront/40.3.310
First Department
School of Business Administration
Recommended Citation
Singh, Douglas A. and Schwab, Robert C., "Predicting Turnover and Retention in Nursing Home Administrators: Management and Policy Implications" (2000). Faculty Publications. 2495.
https://digitalcommons.andrews.edu/pubs/2495
Acknowledgements
Free access article retrieved July 1, 2021 from https://academic.oup.com/gerontologist/article/40/3/310/605352