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Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent
Julie Ratcliffe1, Elisabeth Huynh2, Gang Chen1
1Flinders Health Economics Group, Flinders University, South Australia, Australia.
Social Science & Medicine (1982)
|April 10, 2016
Summary
This study developed a new health utility scoring algorithm for adolescents using best-worst scaling. The Child Health Utility 9D (CHU9D) tool now has an adolescent-specific version for better health economic evaluations.
Area of Science:
- Health Economics
- Psychometrics
- Ordinal Methods
Background:
- Limited use of ordinal methods for adolescent health values.
- Need for adolescent-specific instruments in health economic evaluations.
- Child Health Utility 9D (CHU9D) is designed for young people.
Purpose of the Study:
- To apply best-worst scaling to derive an adolescent-specific scoring algorithm for the CHU9D.
- To generate health state values for adolescents aged 11-17.
- To enable accurate quality-adjusted life years (QALYs) calculations for youth-targeted health programs.
Main Methods:
- Profile case best-worst scaling survey administered online to 1982 Australian adolescents.
- Latent class conditional logit models used for data analysis.
- Marginal utility matrix estimated to create the scoring algorithm.
Main Results:
- Adolescents used different decision processes for 'best' and 'worst' choices.
- Significant variability and different decision rules observed for 'worst' choices, precluding data pooling.
- Optimal adolescent-specific scoring algorithm derived solely from 'best' choice data.
Conclusions:
- Best-worst scaling is a viable method for generating adolescent health state values.
- The derived algorithm provides an adolescent-specific CHU9D scoring tool.
- Findings highlight the importance of separate analysis for 'best' and 'worst' choices in adolescent populations.
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