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Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population

PURPOSE: This study aimed to investigate inequality and heterogeneity in health-related quality of life (HRQoL) and to provide EQ-5D-5L population reference data for Sweden. METHODS: Based on a large Swedish population-based survey, 25,867 respondents aged 30‒104 years, HRQoL is described by sex, ag...

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Autores principales: Teni, Fitsum Sebsibe, Gerdtham, Ulf-G., Leidl, Reiner, Henriksson, Martin, Åström, Mimmi, Sun, Sun, Burström, Kristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921093/
https://www.ncbi.nlm.nih.gov/pubmed/34628587
http://dx.doi.org/10.1007/s11136-021-02982-3
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author Teni, Fitsum Sebsibe
Gerdtham, Ulf-G.
Leidl, Reiner
Henriksson, Martin
Åström, Mimmi
Sun, Sun
Burström, Kristina
author_facet Teni, Fitsum Sebsibe
Gerdtham, Ulf-G.
Leidl, Reiner
Henriksson, Martin
Åström, Mimmi
Sun, Sun
Burström, Kristina
author_sort Teni, Fitsum Sebsibe
collection PubMed
description PURPOSE: This study aimed to investigate inequality and heterogeneity in health-related quality of life (HRQoL) and to provide EQ-5D-5L population reference data for Sweden. METHODS: Based on a large Swedish population-based survey, 25,867 respondents aged 30‒104 years, HRQoL is described by sex, age, education, income, economic activity, health-related behaviours, self-reported diseases and conditions. Results are presented by EQ-5D-5L dimensions, respondents rating of their overall health on the EQ visual analogue scale (EQ VAS), VAS index value and TTO (time trade-off) index value allowing for calculation of quality-adjusted life years (QALYs). Ordinary Least Squares and multivariable logistic regression analyses were used to study inequalities in observed EQ VAS score between socioeconomic groups and the likelihood to report problems on the dimensions, respectively, adjusted for confounders. RESULTS: In total, 896 different health states were reported; 24.1% did not report any problems. Most problems were reported with pain/discomfort. Women reported worse HRQoL than men, and health deteriorated with age. The strongest association between diseases and conditions and EQ VAS score was seen for depression and mental health problems. There was a socioeconomic gradient in HRQoL; adjusting for health-related behaviours, diseases and conditions slightly reduced the differences between educational groups and income groups, but socioeconomic inequalities largely remained. CONCLUSION: EQ-5D-5L population reference (norms) data are now available for Sweden, including socioeconomic differentials. Results may be used for comparisons with disease-specific populations and in health economic evaluations. The observed socioeconomic inequality in HRQoL should be of great importance for policy makers concerned with equity aspects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02982-3.
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spelling pubmed-89210932022-03-17 Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population Teni, Fitsum Sebsibe Gerdtham, Ulf-G. Leidl, Reiner Henriksson, Martin Åström, Mimmi Sun, Sun Burström, Kristina Qual Life Res Article PURPOSE: This study aimed to investigate inequality and heterogeneity in health-related quality of life (HRQoL) and to provide EQ-5D-5L population reference data for Sweden. METHODS: Based on a large Swedish population-based survey, 25,867 respondents aged 30‒104 years, HRQoL is described by sex, age, education, income, economic activity, health-related behaviours, self-reported diseases and conditions. Results are presented by EQ-5D-5L dimensions, respondents rating of their overall health on the EQ visual analogue scale (EQ VAS), VAS index value and TTO (time trade-off) index value allowing for calculation of quality-adjusted life years (QALYs). Ordinary Least Squares and multivariable logistic regression analyses were used to study inequalities in observed EQ VAS score between socioeconomic groups and the likelihood to report problems on the dimensions, respectively, adjusted for confounders. RESULTS: In total, 896 different health states were reported; 24.1% did not report any problems. Most problems were reported with pain/discomfort. Women reported worse HRQoL than men, and health deteriorated with age. The strongest association between diseases and conditions and EQ VAS score was seen for depression and mental health problems. There was a socioeconomic gradient in HRQoL; adjusting for health-related behaviours, diseases and conditions slightly reduced the differences between educational groups and income groups, but socioeconomic inequalities largely remained. CONCLUSION: EQ-5D-5L population reference (norms) data are now available for Sweden, including socioeconomic differentials. Results may be used for comparisons with disease-specific populations and in health economic evaluations. The observed socioeconomic inequality in HRQoL should be of great importance for policy makers concerned with equity aspects. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-021-02982-3. Springer International Publishing 2021-10-10 2022 /pmc/articles/PMC8921093/ /pubmed/34628587 http://dx.doi.org/10.1007/s11136-021-02982-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Teni, Fitsum Sebsibe
Gerdtham, Ulf-G.
Leidl, Reiner
Henriksson, Martin
Åström, Mimmi
Sun, Sun
Burström, Kristina
Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title_full Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title_fullStr Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title_full_unstemmed Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title_short Inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional EQ-5D-5L data from the Swedish general population
title_sort inequality and heterogeneity in health-related quality of life: findings based on a large sample of cross-sectional eq-5d-5l data from the swedish general population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8921093/
https://www.ncbi.nlm.nih.gov/pubmed/34628587
http://dx.doi.org/10.1007/s11136-021-02982-3
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