Application of Multi-Attribute Utility Theory to Measure Social Preferences for Health States

TLDR

The study develops a four‑attribute health‑state classification system and applies multi‑attribute utility theory to measure social preferences, proposing modifications to address identified problems. The authors defined a social preference function over the classification system, modified standard MAUT, and field‑tested the method in 112 home interviews. The field test showed the modified MAUT method to be applicable, yielding a recommended social preference function with quantified uncertainty, and the authors provide recommendations for future studies.

Abstract

A four-attribute health state classification system designed to uniquely categorize the health status of all individuals two years of age and over is presented. A social preference function defined over the health state classification system is required. Standard multi-attribute utility theory is investigated for the task, problems are identified and modifications to the standard method are proposed. The modified method is field tested in a survey research project involving 112 home interviews. Results are presented and discussed in detail for both the social preference function and the performance of the modified method. A recommended social preference function is presented, complete with a range of uncertainty. The modified method is found to be applicable to the task—no insurmountable difficulties are encountered. Recommendations are presented, based on our experience, for other investigators who may be interested in reapplying the method in other studies.