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The Gerontologist 40:310-319 (2000)
© 2000 The Gerontological Society of America

Predicting Turnover and Retention in Nursing Home Administrators

Management and Policy Implications

Douglas A. Singh, PhDa and Robert C. Schwab, PhDb

a School of Public and Environmental Affairs, Indiana University–South Bend, South Bend, IN
b School of Business, Andrews University, Berrien Springs, MI

Correspondence: Douglas A. Singh, PhD, Associate Professor, School of Public and Environmental Affairs, Indiana University–South Bend, Wiekamp Hall–Room 2259, 1800 Mishawaka Avenue, P.O. Box 7111, South Bend, IN 46634-7111. E-mail: dsingh{at}iusb.edu.

Decision Editor: Vernon L. Greene, PhD

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.

Key Words: Recruitment • Licensure • Attitudes




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