Predicting enrollment decisions in a preferred provider organization: a comparison of models--features versus benefits.
Five attitudinal models are compared on their ability to explain and predict the enrollment decisions of university employees toward a preferred provider organization. In the comparison of models, a distinction is maintained between the relatively objective attributes of the plan (features) and the relatively subjective attributes of the plan (benefits). The model that best predicts the enrollment decisions of enrollees is found to be different from the model that best predicts the decisions of nonenrollees. A "best" overall predictive model is selected and a method to aid managerial interpretation of the determinant attributes identified is developed.
D003256:Community Participation; D003657:Decision Making; D005544:Forecasting; D007348:Insurance, Health / Q000706:statistics & numerical data*; D008962:Models, Theoretical; D011243:Preferred Provider Organizations / Q000706:statistics & numerical data*; D013223:Statistics as Topic; D011795:Surveys and Questionnaires; D014481:United States