Estimating CHU-9D Utility Scores from the WAItE- A Mapping Algorithm for Economic Evaluation

Feb 1, 2019, 00:00 AM
10.1016/j.jval.2018.09.2839
https://www.valueinhealthjournal.com/article/S1098-3015(18)36141-2/fulltext
Section Title : PREFERENCE-BASED ASSESSMENTS
Section Order : 13
First Page : 239

Background

The Weight-Specific Adolescent Instrument for Economic Evaluation (WAItE) is a new condition-specific patient reported outcome measure that incorporates the views of adolescents in assessing the impact of above healthy weight status on key aspects of their lives. Presently it is not possible to use the WAItE to calculate quality adjusted life years (QALYs) for cost-utility analysis (CUA), given that utility scores are not available for health states described by the WAItE.

Objective

This paper examines different regression models for estimating Child Health Utility 9 Dimension (CHU-9D) utility scores from the WAItE for the purpose of calculating QALYs to inform CUA.

Methods

The WAItE and CHU-9D were completed by a sample of 975 adolescents. Nine regression models were estimated: ordinary least squares, Tobit, censored least absolute deviations, two-part, generalized linear model, robust MM-estimator, beta-binomial, finite mixture models, and ordered logistic regression. The mean absolute error (MAE) and mean squared error (MSE) were used to assess the predictive ability of the models.

Results

The robust MM-estimator with stepwise-selected WAItE item scores as explanatory variables had the best predictive accuracy.

Conclusions

Condition-specific tools have been shown to be more sensitive to changes that are important to the population for which they have been developed for. The mapping algorithm developed in this study facilitates the estimation of health-state utilities necessary for undertaking CUA within clinical studies that have only collected the WAItE.

https://www.valueinhealthjournal.com/action/showCitFormats?pii=S1098-3015(18)36141-2&doi=10.1016/j.jval.2018.09.2839
HEOR Topics :
  • Cost/Cost of Illness/Resource Use Studies
  • Health State Utilities
  • Patient-reported Outcomes & Quality of Life Outcomes
  • Pediatrics
Tags :
  • CHU-9D
  • mapping
  • obesity
  • utility
  • WAItE
Regions :