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

Andrew M Garratt^1,2, Knut Stavem^3,4,5, James W Shaw⁶

¹Division for Health Services, Norwegian Institute of Public Health, Oslo, Norway. andrew.garratt@fhi.no.

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|November 20, 2024

Summary

This study developed the Norwegian value set for the EQ-5D-5L using a representative adult sample. The findings support its use in economic evaluations and health services research in Norway.

Keywords:

EQ-5D-5L General population Outcomes Quality of life Utilities Value set

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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.