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The impact of duration on EQ-5D-5L value sets derived from a Discrete Choice Experiment

Project Member(s): Viney, R., Mulhern, B.

Funding or Partner Organisation: EuroQol Research Foundation

Start year: 2015

Summary: Interpretation and use of QALY weights generally makes a set of common assumptions regarding individuals' preferences around health states. A major one is that preferences defined over one range of life expectancies applies to other ranges. So, for instance, an individual willing to trade 50% of their life expectancy to alleviate ill¿health would be willing to do whether they have 6 months or 6 years to live. This is important because it is central to how EQ-5D-5L weights are applied in economic evaluation. This project will test this assumption using a large general population online survey. It will use a discrete choice experiment with respondents answering paired choice sets consisting of an EQ-5D-5L profile and a duration. The duration will be drawn from one of two different duration ranges (2-16 months, and 2-16 years), with each respondent answering eight choice sets using either duration range. The resultant value sets will be compared both in terms of statistically significant differences, and differences likely to impact on economic evaluation results. We will also use our demographic data to explore whether the relationship between shorter and longer duration preferences depends on observable characteristics.

Publications:

Norman, R, Viney, R, Mulhern, B, Brazier, J, Ratcliffe, J, Lancsar, E, Lorgelly, P, Street, D & Flattery, M 2017, 'A large Australian DCE with duration and dead to value EQ-5D-5L health states [Conference Presentation]', 34th EuroQol Plenary Meeting, Barcleona.

Norman, R, Mulhern, B, Viney, R, Bansback, N & Pearce, A 2016, 'The Impact of Duration on EQ‐5D‐5L Value Sets Derived from a Discrete Choice Experiment', Value in Health, vol. 19, no. 7, pp. A828-A828.

Keywords: EQ-5D-5L, DCE

FOR Codes: Health Policy Economic Outcomes, Health Policy Evaluation, Health Economics