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Development of a multiplicative, multi-attribute utility function and eight single-attribute utility functions for the Health Utilities Index Mark 3 in Japan.

Authors :
Noto, Shinichi
Shiroiwa, Takeru
Kobayashi, Makoto
Murata, Tatsunori
Ikeda, Shunya
Fukuda, Takashi
Source :
Journal of Patient-Reported Outcomes; 4/3/2020, Vol. 4 Issue 1, p1-8, 8p
Publication Year :
2020

Abstract

Background: The Health Utilities Index Mark 3 (HUI3) is a generic multi-attribute, preference-based system for assessing health-related quality of life. It is widely used overseas as an outcome measure and for estimating quality-adjusted life years. We aimed to estimate a multi-attribute and eight single-attribute utility functions for the HUI3 system based on community preferences in Japan. We conducted two preference surveys in this study. The first survey was designed to estimate a model of utility function and collect preference scores, and the second survey was designed to evaluate predictive validity of the utility function and provide independent scores. Values obtained from the feeling thermometer and standard gamble scores obtained from using a chance board were included in the preference scale. We recruited 1043 respondents (age: 20–79 years) from five cities in Japan through the general population classified by sex and age groups. Respondents were further randomly divided into a modeling group (n = 774) and a direct group (n = 263). Results: We acquired the estimation for eight single-attribute and a global multi-attribute utility function. The minimum expected multi-attribute utility score was − 0.002. The intraclass correlation coefficient between the directly measured utility score and the score generated by multi-attribute function in terms of 53 health conditions was 0.742. Conclusions: The HUI3 scoring function developed in Japan has a strong theoretical and empirical basis. It will be useful in future to predict the directly measured score of health technology assessments in Japan. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
25098020
Volume :
4
Issue :
1
Database :
Complementary Index
Journal :
Journal of Patient-Reported Outcomes
Publication Type :
Academic Journal
Accession number :
142554110
Full Text :
https://doi.org/10.1186/s41687-020-00188-8