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A Shortcut to Mean-Based Time Tradeoff Tariffs for the EQ-5D?

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  • Kim Rand-Hendriksen
  • Liv Ariane Augestad
  • Fredrik A. Dahl
  • Ivar Sønbø Kristiansen
  • Knut Stavem

Abstract

Background EQ-5D valuation studies are usually performed using the time tradeoff (TTO) method, which is costly and time consuming. We focused on 2 properties that particularly characterize TTO: the initial choice task categorizing health states as better than death (BTD), worse than death (WTD), or equal to death (ETD), and unwillingness to trade (UTT) lifetime to improve health. The aim of this study was to estimate the value of the information to be gained from continuing the conventional TTO tasks beyond the initial question and the extent to which mean-based EQ-5D tariff values could be predicted through a simplified method of categorizing health states into BTD, WTD, ETD, and UTT. Methods We used data from the UK EQ-5D valuation study ( n = 2997). We designed an abbreviated system with only 4 values (collapsed TTO [cTTO]) based on the 4 response categories and assigned values as follows: WTD = −.5, ETD = 0, BTD = .5, and UTT = 1. Based on the mean cTTO scores for the valued health states, we created a regression-based cTTO tariff, which was compared with the conventional (full) TTO tariff (fTTO) by regressing 1) the fTTO means on cTTO means and 2) the fTTO tariff on the cTTO tariff. Results WTD values were unrelated to health state severity. Correlation between the means of fTTO and means of cTTO was >.999, and tariff values from fTTO correlated with tariff values from cTTO at r > .999. Conclusions Once respondents have classified health states as UTT, BTD, ETD, or WTD, the TTO procedure adds little further information to the tariff values. The WTD task fails to discriminate between good and bad health states. TTO valuation could likely be simplified using cTTO.

Suggested Citation

  • Kim Rand-Hendriksen & Liv Ariane Augestad & Fredrik A. Dahl & Ivar Sønbø Kristiansen & Knut Stavem, 2012. "A Shortcut to Mean-Based Time Tradeoff Tariffs for the EQ-5D?," Medical Decision Making, , vol. 32(4), pages 569-577, July.
    • Handle: RePEc:sae:medema:v:32:y:2012:i:4:p:569-577
    DOI: 10.1177/0272989X11431607
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    References listed on IDEAS

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    1. Robinson, Angela & Dolan, Paul & Williams, Alan, 1997. "Valuing health status using VAS and TTO: What lies behind the numbers?," Social Science & Medicine, Elsevier, vol. 45(8), pages 1289-1297, October.
    2. Peep F. M. Stalmeier & Jan J. V. Busschbach & Leida M. Lamers & Paul F. M. Krabbe, 2005. "The gap effect: discontinuities of preferences around dead," Health Economics, John Wiley & Sons, Ltd., vol. 14(7), pages 679-685, July.
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    Cited by:

    1. Erik Nord & Rune Johansen, 2015. "Transforming EQ-5D utilities for use in cost–value analysis of health programs," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(3), pages 313-328, April.
    2. Franz Ombler & Michael Albert & Paul Hansen, 2017. "The true significance of ‘high’ correlations between EQ-5D value sets," Working Papers 1704, University of Otago, Department of Economics, revised Mar 2017.
    3. Franz Ombler & Michael Albert & Paul Hansen, 2018. "How Significant Are “High†Correlations Between EQ-5D Value Sets?," Medical Decision Making, , vol. 38(6), pages 635-645, August.

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