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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.

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PubMed
Summary
This summary is machine-generated.

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.

Keywords:
EQ-5D-5Lface-to-facepreference elicitationtime trade-offvideoconference interview

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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.