Application of multi-attribute utility theory to measure social preferences for health states.
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 methods 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.
D000293:Adolescent; D000704:Analysis of Variance; D001294:Attitude to Health; D002648:Child; D002675:Child, Preschool; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D007363:Intensive Care Units, Neonatal / Q000191:economics; D008962:Models, Theoretical; D009864:Ontario; D010043:Outcome and Process Assessment, Health Care / Q000379:methods*; D012306:Risk; D012938:Social Perception