Socio-demographic indicators of self-reported health based on EQ-5D-3L: A cross-country analysis of population surveys from 18 countries.
EQ-5D-3L
EuroQol
equity
health inequalities
health-related quality of life
population health
self-reported health
sociodemographic indicators
Journal
Frontiers in public health
ISSN: 2296-2565
Titre abrégé: Front Public Health
Pays: Switzerland
ID NLM: 101616579
Informations de publication
Date de publication:
2022
2022
Historique:
received:
01
06
2022
accepted:
25
11
2022
entrez:
23
1
2023
pubmed:
24
1
2023
medline:
25
1
2023
Statut:
epublish
Résumé
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. 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. Statistically significant socio-demographic differences existed in all countries ( 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.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
Statistically significant socio-demographic differences existed in all countries (
Conclusion
UNASSIGNED
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.
Identifiants
pubmed: 36684894
doi: 10.3389/fpubh.2022.959252
pmc: PMC9853521
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
959252Informations de copyright
Copyright © 2023 Szende, Janssen, Cabases, Ramos-Goni and Burström.
Déclaration de conflit d'intérêts
AS is employed by Labcorp. MJ works as a part-time freelance member for the scientific support team for the EuroQol Business Office. JR-G is employed by Maths in Health B.V. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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