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Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries
This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total po...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438939/ https://www.ncbi.nlm.nih.gov/pubmed/29445941 http://dx.doi.org/10.1007/s10198-018-0955-5 |
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author | Janssen, M. F. Szende, A. Cabases, J. Ramos-Goñi, J. M. Vilagut, G. König, H. H. |
author_facet | Janssen, M. F. Szende, A. Cabases, J. Ramos-Goñi, J. M. Vilagut, G. König, H. H. |
author_sort | Janssen, M. F. |
collection | PubMed |
description | This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total population, by gender and by seven age groups. Provided index values are based on European VAS for all countries, based on TTO for 11 countries and based on VAS for 10 countries. Important differences exist in EQ-5D reported health status across countries after standardizing for population structure. Self-reported health according to all five dimensions and EQ VAS generally decreased with increasing age and was lower for females. Mean self-rated EQ VAS scores varied from 70.4 to 83.3 in the total population by country. The prior living standards (GDP per capita) in the countries studied are correlated most with the EQ VAS scores (0.58), while unemployment appeared to be significantly correlated in people over the age of 45 only. A country’s expenditure on health care correlated moderately with higher ratings on the EQ VAS (0.55). EQ-5D norms can be used as reference data to assess the burden of disease of patients with specific conditions. Such information, in turn, can inform policy-making and assist in setting priorities in health care. |
format | Online Article Text |
id | pubmed-6438939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-64389392019-04-15 Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries Janssen, M. F. Szende, A. Cabases, J. Ramos-Goñi, J. M. Vilagut, G. König, H. H. Eur J Health Econ Original Paper This study provides EQ-5D population norms for 20 countries (N = 163,838), which can be used to compare profiles for patients with specific conditions with data for the average person in the general population in a similar age and/or gender group. Descriptive EQ-5D data are provided for the total population, by gender and by seven age groups. Provided index values are based on European VAS for all countries, based on TTO for 11 countries and based on VAS for 10 countries. Important differences exist in EQ-5D reported health status across countries after standardizing for population structure. Self-reported health according to all five dimensions and EQ VAS generally decreased with increasing age and was lower for females. Mean self-rated EQ VAS scores varied from 70.4 to 83.3 in the total population by country. The prior living standards (GDP per capita) in the countries studied are correlated most with the EQ VAS scores (0.58), while unemployment appeared to be significantly correlated in people over the age of 45 only. A country’s expenditure on health care correlated moderately with higher ratings on the EQ VAS (0.55). EQ-5D norms can be used as reference data to assess the burden of disease of patients with specific conditions. Such information, in turn, can inform policy-making and assist in setting priorities in health care. Springer Berlin Heidelberg 2018-02-14 2019 /pmc/articles/PMC6438939/ /pubmed/29445941 http://dx.doi.org/10.1007/s10198-018-0955-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Paper Janssen, M. F. Szende, A. Cabases, J. Ramos-Goñi, J. M. Vilagut, G. König, H. H. Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title | Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title_full | Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title_fullStr | Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title_full_unstemmed | Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title_short | Population norms for the EQ-5D-3L: a cross-country analysis of population surveys for 20 countries |
title_sort | population norms for the eq-5d-3l: a cross-country analysis of population surveys for 20 countries |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438939/ https://www.ncbi.nlm.nih.gov/pubmed/29445941 http://dx.doi.org/10.1007/s10198-018-0955-5 |
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