Abstract
Objectives: This study presents a country-specific 3-level version of EQ-5D population norms for the European older population. Methods: Norm data were obtained from the fourth wave of the Survey of Health, Ageing and Retirement in Europe, and determined, for each EQ-5D dimension, the EQ–visual analog scale (EQ-VAS) and EQ-5D index values by 7 age groups and sex for 15 European countries. The EQ-5D index values were calculated using the European VAS value set for all countries. Results: Data resulting from 50 013 older respondents (mean age 65.9 years, range 50-111 years, 55.6% women) revealed an increasing number of self-reported health problems on EQ-5D dimensions and decreasing EQ-VAS scores with increasing age and for women compared with men. There are notable differences between countries in terms of the age gradient, the proportion of respondents in full health, and sex. Across all age groups, problems with pain & discomfort are the most frequent (36%-73% any problems), whereas problems with self-care are the least frequent (3%-31% any problems). The mean EQ-VAS score is 71.2 and the mean European VAS score is 0.79. Conclusions: Given the growing number of older adults and elderly people in Europe, these population norms provide a valuable source of reference data that can be used to compare older adults or patient subgroups to the average of the general elderly population in a similar age or sex group in 15 European countries. The index value results may be further used to assess the burden of disease across older European populations and to identify the unmet needs of targeted older patient populations.
Original language | English |
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Pages (from-to) | 721-732 |
Number of pages | 12 |
Journal | Value in Health |
Volume | 26 |
Issue number | 5 |
DOIs | |
Publication status | Published - May 2023 |
Bibliographical note
Funding Information:Conflicts of Interest Disclosures: Drs Buchholz and Janssen reported receiving grants from EuroQol Research Foundation , personal fees from EuroQol Research Foundation, and other from EuroQol Group during the conduct of the study
Funding Information:
Funding/Support: This work was supported by grant no. 155-RA2020 from the EuroQol Research Foundation . The SHARE data collection has been funded by the European Commission through FP5 (QLK6-CT-2001-00360), FP6 (SHARE-I3: RII-CT-2006-062193, COMPARE: CIT5-CT-2005-028857, SHARELIFE: CIT4-CT-2006-028812), FP7 (SHARE-PREP: GA N°211909, SHARE-LEAP: GA N°227822, SHARE M4: GA N°261982, DASISH: GA N°283646), and Horizon 2020 (SHARE-DEV3: GA N°676536, SHARE-COHESION: GA N°870628, SERISS: GA N°654221, SSHOC: GA N°823782) and by DG Employment, Social Affairs & Inclusion. Additional funding from the German Ministry of Education and Research , the Max Planck Society for the Advancement of Science, the US National Institute on Aging (U01_AG09740-13S2, P01_AG005842, P01_AG08291, P30_AG12815, R21_AG025169, Y1-AG-4553-01, IAG_BSR06-11, OGHA_04-064, HHSN271201300071C), and from various national funding sources is gratefully acknowledged (see www.share-project.org ).
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© 2022