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The Danish EQ-5D-5L Value Set: A Hybrid Model Using cTTO and DCE Data
Cathrine Elgaard Jensen1, Sabrina Storgaard Sørensen2, Claire Gudex3
1Department of Clinical Medicine, Danish Center for Healthcare Improvements, Aalborg University, Aalborg, Denmark. cathelgaard@gmail.com.
This study developed the first Danish value set for the EQ-5D-5L, using quality-adjusted life-years (QALYs) to inform healthcare decisions. The new value set reflects the Danish population's preferences for health states.
Area of Science:
- Health Economics
- Psychometrics
- Societal Preferences
Background:
- Denmark plans to use quality-adjusted life-years (QALYs) for priority setting of medicines.
- A Danish population-based value set for the EQ-5D-5L instrument is needed for this purpose.
Purpose of the Study:
- To develop the first Danish value set for the EQ-5D-5L instrument.
- To represent the preferences of the Danish adult population regarding health states.
Main Methods:
- A nationally representative sample (n=1014) of Danish adults aged >18 years participated.
- Health states were valued using composite time trade-off (cTTO) and discrete-choice experiment (DCE) methods.
- A hybrid model combining cTTO and DCE data was used to derive the value set.
Main Results:
- The final Danish EQ-5D-5L value set ranges from -0.757 to 1.
- The sample was representative, with a slight overrepresentation of higher education.
- Anxiety/depression was the health dimension assigned the most value by respondents.
Conclusions:
- The study successfully established the Danish EQ-5D-5L value set.
- This value set reflects the preferences of the Danish general population.
- It is expected to be a key input for healthcare decision-making in Denmark.
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