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EQ-5D-Y Value Set for Germany

Author

Listed:
  • Simone Kreimeier

    (Bielefeld University)

  • David Mott

    (Office of Health Economics)

  • Kristina Ludwig

    (Bielefeld University)

  • Wolfgang Greiner

    (Bielefeld University)

Abstract

Background Demand is increasing for youth-specific preference-based health-related quality-of-life measures for inclusion in evaluations of healthcare interventions for children and adolescents. The EQ-5D-Youth (EQ-5D-Y) has the potential to become such a preference-based measure. Objective This study applied the recently published EQ-5D-Y valuation protocol to develop a German EQ-5D-Y value set and explored the differences between values given to youth health by parents and non-parents. Methods To elicit EQ-5D-Y health state preferences, a representative sample of 1030 adults of the general population completed a discrete choice experiment (DCE) online survey, and 215 adults participated in face-to-face interviews applying composite time trade-off (cTTO). Respondents were asked to consider a 10-year-old child living in the health states. DCE data were modelled using a mixed logit model. To derive the value set, DCE latent scale values were anchored onto adjusted mean cTTO values using a linear mapping approach. Results Adult respondents considered pain/discomfort and feeling worried/sad/unhappy as the two most important dimensions in terms of youth health. Adjusted mean cTTO values ranged from − 0.350 for health state 33333 to 0.970 for health state 21111. The EQ-5D-Y value set showed a logical order for all parameter estimates, and predicted values ranged from − 0.283 to 1. Differences in preferences by parental status were mainly observed for cTTO results, where mean values were larger for parents than for non-parents. Conclusions Applying the valuation protocol, a German EQ-5D-Y value set with internally consistent coefficients was developed. This enables the instrument to be used in economic evaluations of paediatric healthcare interventions.

Suggested Citation

  • Simone Kreimeier & David Mott & Kristina Ludwig & Wolfgang Greiner, 2022. "EQ-5D-Y Value Set for Germany," PharmacoEconomics, Springer, vol. 40(2), pages 217-229, December.
    • Handle: RePEc:spr:pharme:v:40:y:2022:i:2:d:10.1007_s40273-022-01143-9
    DOI: 10.1007/s40273-022-01143-9
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    References listed on IDEAS

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    1. Emily Lancsar & Jordan Louviere, 2006. "Deleting ‘irrational’ responses from discrete choice experiments: a case of investigating or imposing preferences?," Health Economics, John Wiley & Sons, Ltd., vol. 15(8), pages 797-811, August.
    2. Drummond, Michael F. & Sculpher, Mark J. & Claxton, Karl & Stoddart, Greg L. & Torrance, George W., 2015. "Methods for the Economic Evaluation of Health Care Programmes," OUP Catalogue, Oxford University Press, edition 4, number 9780199665884.
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    Cited by:

    1. Fanni Rencz & Gábor Ruzsa & Alex Bató & Zhihao Yang & Aureliano Paolo Finch & Valentin Brodszky, 2022. "Value Set for the EQ-5D-Y-3L in Hungary," PharmacoEconomics, Springer, vol. 40(2), pages 205-215, December.
    2. Jonathan L. Nazari & A. Simon Pickard & Ning Yan Gu, 2022. "Findings from a Roundtable Discussion with US Stakeholders on Valuation of the EQ-5D-Y-3L," PharmacoEconomics, Springer, vol. 40(2), pages 139-146, December.

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