A multivariate analysis of long-term care nursing services.
Marketing, as a useful conceptual framework, has been extended to a variety of nonprofit sectors including the health care industry. Despite ever growing literature devoted to general health care marketing, there appears to be a death of specific application-oriented studies. This paper illustrates the development and application of a multiple discriminant analysis model in the context of long-term care (LTC) facilities. Empirical findings are presented and factors affecting the occupancy rates are discussed with implications for marketers, managers and administrators of skilled LTC nursing homes.
Segal
M N
MN
School of Business, Southern Illinois University, Edwardsville 62026.
D000368:Aged; D001509:Bed Occupancy / Q000706:statistics & numerical data*; D003625:Data Collection; D016002:Discriminant Analysis; D005069:Evaluation Studies as Topic; D006299:Health Services for the Aged / Q000191:economics / Q000706:statistics & numerical data; D006801:Humans; D008134:Long-Term Care / Q000191:economics / Q000706:statistics & numerical data*; D008923:Missouri; D015233:Models, Statistical; D015999:Multivariate Analysis; D009735:Nursing Homes / Q000191:economics / Q000706:statistics & numerical data*; D015203:Reproducibility of Results