Predicting Danish EQ-5D-5L Utilities Based on United Kingdom EQ-5D-3L Utilities for Use in Health Economic Models
The prediction algorithm developed in this research can increase analysts' ability to apply utilities aligned with the Danish EQ-5D-5L value set and guideline recommendations, reducing decision uncertainty. Many health technology assessment (HTA) institutions are transitioning from the EQ-5D-3L to the EQ-5D-5L in the coming years; therefore, prediction algorithms are likely of interest to additional HTA institutions in the near future. This study can provide a blueprint for future studies.
Authors
- Lars Oddershede (ORCID: https://orcid.org/0009-0009-7990-2325)
- Liza Sopina (ORCID: https://orcid.org/0000-0002-2680-6999)
- James W. Shaw (ORCID: https://orcid.org/0000-0002-7019-3720)
- Rasmus Trap Wolf (ORCID: https://orcid.org/0000-0002-0466-300X)
- Nathan A. Clarke (ORCID: https://orcid.org/0000-0002-8636-1872)
- Einar Bjørner Torkilseng (ORCID: https://orcid.org/0009-0009-4818-0577)
- Bryan Bennett (ORCID: https://orcid.org/0000-0002-5295-5576)
- Andrew Trigg (ORCID: https://orcid.org/0000-0002-1613-8042)
- Rachael Lawrance (ORCID: https://orcid.org/0000-0002-9499-8443)
Institutions
- University of Southern Denmark (DK)
- Adelphi Group (United Kingdom) (GB)
- Bristol-Myers Squibb (United States) (US)
- Bristol-Myers Squibb (United Kingdom) (GB)
- Bristol-Myers Squibb (Japan) (JP)
Publication Details
- Journal
- PharmacoEconomics - Open
- Published
- 2025-02-22
- DOI
- https://doi.org/10.1007/s41669-025-00562-6
- Citations
- 1
- Primary Topic
- Health Systems, Economic Evaluations, Quality of Life
- Type
- article
- Field-Weighted Citation Impact
- 3.13
Funders
- Bristol-Myers Squibb