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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
Health Outcomes and Economic Evaluation Research Group, Stockholm Centre for Healthcare Ethics, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.
Department of Economics, Lund University, Lund, Sweden; Health Economics Unit, Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden.
Institute for Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; Munich Center of Health Sciences, Ludwig-Maximilians University, Munich, Germany.
Center for Medical Technology Assessment, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
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2022 (English)In: Quality of Life Research, ISSN 0962-9343, E-ISSN 1573-2649, Vol. 31, no 3, p. 697-712Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2022. Vol. 31, no 3, p. 697-712
Keywords [en]
EQ-5D-5L, General population, Inequalities in health status, Reference data, Socioeconomic group, Sweden
National Category
Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:umu:diva-191322DOI: 10.1007/s11136-021-02982-3ISI: 000705245500001PubMedID: 34628587Scopus ID: 2-s2.0-85116830835OAI: oai:DiVA.org:umu-191322DiVA, id: diva2:1627660
Available from: 2022-01-14 Created: 2022-01-14 Last updated: 2025-02-20Bibliographically approved

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