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To extend existing analyses of whether and how the age of respondents is related to their time trade-off (TTO) valuations of hypothetical EQ-5D-3L health states, and to contribute to the existing debate about the rationale and implications for using age-specific utilities in health technology assessment (HTA).
We use data from the MVH UK valuation study. For each profile, the mean TTO value—adjusted by sex, education, self-reported health and personal experience of serious illness—is pairwise compared across the different age groups. A Bonferroni correction is applied to the multiple testing of significant differences between means. Smile plots illustrate the results. A debate regarding whether there is a case for using age-specific utilities in HTAs complements the analysis.
Results show that the oldest respondents value health profiles lower than younger age groups, particularly for profiles describing problems in the mobility dimension.
The findings raise the possibility of using age-specific value sets in HTAs, since a technology may not be cost-effective on average but cost-effective for a sub-group whose preferences are more closely aligned to the benefits offered by the technology.
NICE. (2013). Guide to the methods of technology appraisal. London: National Institute for Health and Care Excellence.
Robinson, A., Dolan, P., & Williams, A. (1997). Valuing health status using VAS and TTO: what lies behind the numbers? Social Science & Medicine, 45(8), 1289–1297. CrossRef
Hofman, C. S., Makai, P., Boter, H., Buurman, B. M., de Craen, A. J., Olde Rikkert, M. G. M., Donders, R., & Melis, R. J. (2015). The influence of age on health valuations: the older olds prefer functional independence while the younger olds prefer less morbidity. Clinical Interventions in Aging, 10, 1131–1139. CrossRefPubMedCentralPubMed
MVH Group. (1995). The measurement and valuation of health: final report on the modelling of valuation tariffs. New York: Centre for Health Economics.
Dmitrienko, A., Tamhane, A. C., & Bretz, F. (Eds.). (2009). Multiple testing problems in pharmaceutical statistics. New York: CRC Press.
Newson, R., & the ALSPAC Study Team (2003). Multiple-test procedures and smile plots. Stata Journal, 3(2), 109–132. CrossRef
Coretti, S., Ruggeri, M., & McNamee, P. (2014). The minimum clinically important difference for EQ-5D index: a critical review. Expert Review of Pharmacoeconomics & Outcomes Research, 14(2), 221–233. CrossRef
Devlin, N., Shah, K. K., & Buckingham, K. (2017). What is the normative basis for selecting the measure of ‘average’ preferences for use in social choices? Research Paper. London: Office of Health Economics.
NICE. (2008). Social value judgements: Principles for the development of NICE guidance (Second edn.). London: National Institute for Health and Care Excellence.
- A note on the relationship between age and health-related quality of life assessment
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