Socio-demographic indicators of self-reported health based on EQ-5D-3L: A cross-country analysis of population surveys from 18 countries

Agota Szende*, Mathieu F. Janssen, Juan Cabases, Juan M. Ramos-Goni, Kristina Burström

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
27 Downloads (Pure)

Abstract

Background: Generic health-related quality of life instruments, such as the EQ-5D, are increasingly used by countries to monitor population health via general population health surveys. Our aim was to demonstrate analytic options to measure socio-demographic differences in self-reported health using the EuroQol Group's archive of EQ-5D-3L population surveys that accumulated over the past two decades. Methods: Analyses captured self-reported EQ-5D-3L data on over 100,000 individuals from 18 countries with nationally representative population surveys. Socio-demographic indicators employed were age, sex, educational level and income. Logistic regression odds ratios and the health concentration index methodology were used in the socio-demographic analysis of EQ-5D-3L data. Results: Statistically significant socio-demographic differences existed in all countries (p < 0.01) with the EQ VAS based health concentration index varying from 0.090 to 0.157 across countries. Age had generally the largest contributing share, while educational level also had a consistent role in explaining lower levels of self-reported health. Further analysis in a subset of 7 countries with income data showed that, beyond educational level, income itself had an additional significant impact on self-reported health. Among the 5 dimensions of the EQ-5D-3L descriptive system, problems with usual activities and pain/discomfort had the largest contribution to the concentration of overall self-assessed health measured on the EQ VAS in most countries. Conclusion: The EQ-5D-3L was shown to be a powerful multi-dimensional instrument in the analyses of socio-demographic differences in self-reported health using various analytic methods. It offered a unique insight of inequalities by health dimensions.

Original languageEnglish
Article number959252
JournalFrontiers in Public Health
Volume10
DOIs
Publication statusPublished - 6 Jan 2023

Bibliographical note

Funding Information:
This research was supported by the EuroQol Group. AS, MJ, JC, JR-G, and KB disclose that they are members of the EuroQol Group, a-not-for profit group that develops and distributes instruments that assess and value health.

Publisher Copyright:
Copyright © 2023 Szende, Janssen, Cabases, Ramos-Goni and Burström.

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