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A New and Improved Experimental Design for the Discrete Choice Experiment Module of the EuroQol Valuation Technology
Marcel F Jonker1, Bram Roudijk2
1Erasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands; Erasmus Choice Modelling Centre, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Summary
The updated discrete choice experiment (DCE) design for the EQ-5D-5L instrument significantly improves efficiency and reduces sample size needs. This enhanced design will replace the current version in future EQ-VT protocol studies.
Area of Science:
- Health Economics
- Psychometrics
- Survey Methodology
Background:
- The EuroQol Valuation Technology (EQ-VT) protocol uses a discrete choice experiment (DCE) module to value the EQ-5D-5L instrument.
- The current DCE module has limitations and has not been updated since its inception in 2012.
Purpose of the Study:
- To update the EQ-VT DCE design using advanced methodologies.
- To enhance the efficiency and reduce the complexity of the EQ-5D-5L valuation process.
Main Methods:
- A Bayesian hierarchical meta-analysis model was used to summarize DCE data from 19 EQ-5D-5L valuation studies.
- The meta-analysis informed a Bayesian efficient DCE design with 20 subdesigns and 12 choice tasks each.
- The new design's efficiency and robustness were compared to the previous design using D-errors and sample size requirements.
Main Results:
- The updated DCE design demonstrated significant reductions in D-error: 20% for within-sample and 22% for out-of-sample countries.
- Average sample size requirements were reduced by 45% for both within and out-of-sample countries.
Conclusions:
- The updated DCE design offers superior performance and reduced complexity compared to the existing EQ-VT design.
- This enhanced design is recommended for replacement in future EQ-5D-5L valuation studies utilizing the EQ-VT protocol.
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