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Health-related quality of life measured with the EQ-5D-5L: estimation of normative index values based on a representative German population sample and value set

Author

Listed:
  • Thomas Grochtdreis

    (University Medical Center Hamburg-Eppendorf)

  • Judith Dams

    (University Medical Center Hamburg-Eppendorf)

  • Hans-Helmut König

    (University Medical Center Hamburg-Eppendorf)

  • Alexander Konnopka

    (University Medical Center Hamburg-Eppendorf)

Abstract

Background The generic and preference-based instrument EQ-5D is available in a five-response levels version (EQ-5D-5L). A value set for the EQ-5D-5L based on a representative sample of the German population has recently been developed. The aim of this study was to estimate normative values of the EQ-5D-5L index for Germany, and to examine associations between the EQ-5D-5L and selected sociodemographic factors. Methods The analysis was based on a representative sample (n = 4998) of the German general adult population in 2014. Participants had to rate their health-related quality of life on the EQ-5D-5L descriptive system as well as on a visual analogue scale (EQ-VAS). Normative values of the EQ-5D-5L index were estimated for selected sociodemographic characteristics. For the examination of associations between EQ-5D-5L index scores and selected sociodemographic factors, multivariate regression analyses were used. Results The mean EQ-5D-5L index score of the total sample was 0.88 (SD 0.18), corresponding to an overall mean EQ-VAS score of 71.59 (SD 21.36). Female gender and increasing age were associated with a lower EQ-5D-5L index score (p

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  • Thomas Grochtdreis & Judith Dams & Hans-Helmut König & Alexander Konnopka, 2019. "Health-related quality of life measured with the EQ-5D-5L: estimation of normative index values based on a representative German population sample and value set," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 933-944, August.
    • Handle: RePEc:spr:eujhec:v:20:y:2019:i:6:d:10.1007_s10198-019-01054-1
    DOI: 10.1007/s10198-019-01054-1
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    1. Emelie Heintz & Andreas Gerber-Grote & Salah Ghabri & Francoise Hamers & Valentina Rupel & Renata Slabe-Erker & Thomas Davidson, 2016. "Is There a European View on Health Economic Evaluations? Results from a Synopsis of Methodological Guidelines Used in the EUnetHTA Partner Countries," PharmacoEconomics, Springer, vol. 34(1), pages 59-76, January.
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    Cited by:

    1. Thomas Grochtdreis & Hans-Helmut König & Steffi G. Riedel-Heller & Judith Dams, 2022. "Health-Related Quality of Life of Asylum Seekers and Refugees in Germany: a Cross-Sectional Study with Data from the German Socio-Economic Panel," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 109-127, February.
    2. Marta Encheva & Slaveyko Djambazov & Toni Vekov & Dominik Golicki, 2020. "EQ-5D-5L Bulgarian population norms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(8), pages 1169-1178, November.
    3. Pedro L. Ferreira & Luís N. Pereira & Patrícia Antunes & Lara N. Ferreira, 2023. "EQ-5D-5L Portuguese population norms," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(9), pages 1411-1420, December.
    4. Shengxiang Sang & Wei Liao & Ning Kang & Xueyan Wu & Ze Hu & Xiaotian Liu & Hongjian Zhang & Chongjian Wang, 2024. "Health-related quality of life assessed by EQ-5D-5L and its determinants among rural adults: result from the Henan rural cohort study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 21-30, February.
    5. Dejan Reljic & Annalena Eichhorn & Hans J. Herrmann & Markus F. Neurath & Yurdagül Zopf, 2022. "Very Low-Volume, High-Intensity Interval Training Mitigates Negative Health Impacts of COVID-19 Pandemic-Induced Physical Inactivity," IJERPH, MDPI, vol. 19(19), pages 1-19, September.

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    More about this item

    Keywords

    EQ-5D; Population norms; Quality of life; Cost-utility analysis;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I30 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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