Valuation of patient outcomes
The project will examine ways of valuing patient outcomes by applying Data Envelopment Analysis to determine an overall scalar value. Explanatory models for this scalar value, using longitudinal data on resource use and disease activity, will be eplored. Finite Mixtures of these explanatory models will be examined in an attempt to identify patient subgroups. Succesful identification of subgroups, and understanding of disease history and resource use in such subgroups, may provide a basis for improved allocation of healthcare resources.