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Estimating a Dutch Value Set for the Pediatric Preference-Based CHU9D Using a Discrete Choice Experiment with
Donna Rowen1, Brendan Mulhern2, Katherine Stevens1
1Health Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.
Summary
The Dutch value set for the Child Health Utility 9D was developed using an online survey, enabling quality-adjusted life-year calculations for pediatric quality of life. This provides a valid model for cost-utility analysis.
Area of Science:
- Health Economics
- Psychometrics
- Quality of Life Research
Background:
- Pediatric quality of life measures are essential for health economic evaluations.
- Preference-based measures, like the Child Health Utility 9D, generate quality-adjusted life-years (QALYs).
- Developing country-specific value sets is crucial for accurate QALY estimation.
Purpose of the Study:
- To develop the Dutch value set for the Child Health Utility 9D (CHU-9D).
- To enable the use of the CHU-9D in cost-utility analyses within the Netherlands.
- To assess the feasibility and validity of using a discrete choice experiment for this purpose.
Main Methods:
- An online discrete choice experiment was conducted with 1276 adult members of the Dutch general population.
- Respondents evaluated health states based on the nine dimensions of the CHU-9D and duration.
- Data were modeled using conditional logit to derive utility values for each health state.
Main Results:
- A majority of dimension coefficients showed expected monotonic relationships with severity.
- The developed value set ranges from -0.568 (worst) to 1 (best).
- The model demonstrated feasibility and validity, though some logical inconsistencies were noted, particularly for the 'school work/homework' dimension.
Conclusions:
- The valuation of the CHU-9D using an online discrete choice experiment with duration in the Dutch adult population is feasible.
- The resulting value set provides a valid tool for cost-utility analyses in the Netherlands.
- The study highlights normative considerations regarding the valuation of pediatric measures from an adult perspective.
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