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A United Kingdom Value Set for the EQ-5D-5L.
Donna Rowen1, Clara Mukuria1, Nathan Bray2
1Sheffield Centre for Health and Related Research, University of Sheffield, UK.
A new UK EQ-5D-5L value set was created using time trade-off (TTO) data from a representative UK sample. This value set is suitable for informing health technology assessments and policy decisions.
Area of Science:
- Health Economics
- Psychometrics
- Social Sciences
Background:
- A UK-specific EQ-5D-5L value set is essential for health technology assessments, particularly for submissions to NICE.
- The EQ-5D-5L is the latest version of the widely used EQ-5D instrument.
Purpose of the Study:
- To generate a UK EQ-5D-5L value set using preference data.
- To ensure the value set is suitable for informing health policy and NICE assessments.
Main Methods:
- Data collected via composite time trade-off (TTO) interviews with a representative UK adult sample.
- 1200 interviews conducted, primarily via videoconference, covering 102 health states.
- Data quality rigorously assessed; TTO values requiring reconsideration were excluded. A random effects Tobit model was used for value set generation.
Main Results:
- High-quality data achieved from a representative sample across the UK.
- The generated value set indicates that anxiety/depression and usual activities dimensions have a greater impact on utilities compared to the UK EQ-5D-3L.
- The worst health state value is comparable to the UK EQ-5D-3L.
Conclusions:
- The study successfully generated a high-quality UK EQ-5D-5L value set.
- The value set is derived from appropriate and transparent data modelling.
- The generated value set is suitable for informing UK health policy and decision-making.
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