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Updated: Jun 22, 2026

Oral Health Assessment by Lay Personnel for Older Adults

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

Danish EQ-5D population norms.

Jan Sørensen¹, Michael Davidsen, Claire Gudex

¹Centre for Applied Health Services Research and Technology Assessment, University of Southern Denmark, Odense C, Denmark. jas@cast.sdu.dk

Scandinavian Journal of Public Health

|June 19, 2009

Summary

This study established Danish population norms for the EQ-5D index score, revealing that younger adults and men generally report better health-related quality of life. These findings provide valuable benchmarks for future health assessments.

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Last Updated: Jun 22, 2026

Oral Health Assessment by Lay Personnel for Older Adults

Oral Health Assessment by Lay Personnel for Older Adults

Published on: February 2, 2020

Area of Science:

Health Economics
Epidemiology
Quality of Life Research

Background:

The EQ-5D is a standard instrument for measuring health-related quality of life.
It is frequently utilized in population health studies, clinical trials, and health economic evaluations.

Purpose of the Study:

To establish Danish population norms for the EQ-5D index score.
To stratify these norms by age and gender for detailed analysis.

Main Methods:

Pooled EQ-5D data from 15,700 individuals across three Danish population health surveys (ages 20-79).
Utilized the Danish TTO scoring algorithm to calculate individual EQ-5D index scores.
Computed mean index scores stratified by gender, 10-year age groups, and education levels.

Main Results:

Mean EQ-5D index scores ranged from 0.93 (20-29 years) to 0.83 (70-79 years).
Men consistently reported significantly higher EQ-5D index scores than women across all age groups.
Higher levels of education correlated with higher EQ-5D index scores in most age brackets.

Conclusions:

The derived mean EQ-5D index scores serve as essential reference values for the Danish population.
These norms will facilitate comparative analyses in future Danish population health and economic evaluations.
The study highlights demographic variations in self-reported health-related quality of life within Denmark.