EQ-5D-5L value set for Norway: a hybrid model using cTTO and DCE data

Area of Science:

• Health Economics
• Psychometrics
• Quality of Life Research

Background:

• The EQ-5D-5L is a widely used instrument for measuring health status.
• Developing country-specific value sets is crucial for accurate economic evaluations.
• Norway previously lacked a tailored value set for the EQ-5D-5L.

Purpose of the Study:

• To establish the Norwegian value set for the EQ-5D-5L.
• To collect health state valuations from a representative Norwegian adult population.
• To ensure the validity and applicability of the EQ-5D-5L in Norway.

Main Methods:

• A representative sample of Norwegian adults (n=1,321) was recruited using random and quota sampling.
• Data were collected via PC-assisted and video conferencing interviews between November 2019 and December 2022.
• Respondents valued health states using composite time trade-off (cTTO) and discrete choice experiment (DCE) methods.

Main Results:

• A weighted hybrid model combining cTTO and DCE data demonstrated the highest predictive accuracy.
• Predicted health state values ranged from -0.453 to 1.
• Anxiety/depression was the most highly valued dimension, followed by pain/discomfort, self-care, mobility, and usual activities.

Conclusions:

• The study successfully developed the Norwegian value set for the EQ-5D-5L.
• This value set is essential for economic evaluations and quality measurement in Norway.
• The findings facilitate broader application of the EQ-5D-5L in Norwegian clinical and health services research.