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To what extent can we explain time trade-off values from other information about respondents?

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  • Dolan, Paul
  • Roberts, Jennifer

Abstract

The time trade-off (TTO) is one of the most widely used health state valuation methods and was recently used to develop a set of values for the EQ-5D descriptive system from 3000 members of the UK general population. However, there is currently very little understanding of precisely what determines responses to TTO questions. The data that were used to generate this set of values are ideal for addressing this question since they contain a plethora of information relating to the respondents and their cognition during the TTO exercise. A particularly useful characteristic of this dataset is the existence of visual analogue scale (VAS) valuations on the same states for the same respondents. The results suggest that age, sex and marital status are the most important respondent characteristics determining health state valuations. The VAS valuations were found to add very little to the explanatory power of the models.

Suggested Citation

  • Dolan, Paul & Roberts, Jennifer, 2002. "To what extent can we explain time trade-off values from other information about respondents?," Social Science & Medicine, Elsevier, vol. 54(6), pages 919-929, March.
  • Handle: RePEc:eee:socmed:v:54:y:2002:i:6:p:919-929
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    References listed on IDEAS

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    Cited by:

    1. Arthur Attema & Werner Brouwer, 2012. "The way that you do it? An elaborate test of procedural invariance of TTO, using a choice-based design," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 491-500, August.
    2. repec:spr:aphecp:v:15:y:2017:i:3:d:10.1007_s40258-016-0282-x is not listed on IDEAS
    3. John Brazier & Jennifer Roberts & Donna Rowen, 2012. "Methods for Developing Preference-based Measures of Health," Chapters,in: The Elgar Companion to Health Economics, Second Edition, chapter 37 Edward Elgar Publishing.
    4. Brazier, J, 2005. "Current state of the art in preference-based measures of health and avenues for further research," MPRA Paper 29762, University Library of Munich, Germany.
    5. Rodríguez-Míguez, E. & Abellán-Perpiñán, J.M. & Alvarez, X.C. & González, X.M. & Sampayo, A.R., 2016. "The DEP-6D, a new preference-based measure to assess health states of dependency," Social Science & Medicine, Elsevier, pages 210-219.
    6. 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.
    7. R. Hoorn & A. Donders & M. Oppe & P. Stalmeier, 2014. "The Better than Dead Method: Feasibility and Interpretation of a Valuation Study," PharmacoEconomics, Springer, vol. 32(8), pages 789-799, August.
    8. Karimi, M. & Brazier, J. & Paisley, S., 2017. "How do individuals value health states? A qualitative investigation," Social Science & Medicine, Elsevier, pages 80-88.
    9. F. E. van Nooten & X. Koolman & W. B. F. Brouwer, 2009. "The influence of subjective life expectancy on health state valuations using a 10 year TTO," Health Economics, John Wiley & Sons, Ltd., vol. 18(5), pages 549-558.
    10. Sharma, Rajiv & Stano, Miron, 2010. "Implications of an economic model of health states worse than dead," Journal of Health Economics, Elsevier, vol. 29(4), pages 536-540, July.
    11. Méndez, Ildefonso & Abellán Perpiñán, Jose M. & Sánchez Martínez, Fernando I. & Martínez Pérez, Jorge E., 2011. "Inverse probability weighted estimation of social tariffs: An illustration using the SF-6D value sets," Journal of Health Economics, Elsevier, vol. 30(6), pages 1280-1292.
    12. Kharroubi, Samer & Brazier, John E. & O'Hagan, Anthony, 2007. "Modelling covariates for the SF-6D standard gamble health state preference data using a nonparametric Bayesian method," Social Science & Medicine, Elsevier, vol. 64(6), pages 1242-1252, March.
    13. Anja Schwalm & You-Shan Feng & Jörn Moock & Thomas Kohlmann, 2015. "Differences in EQ-5D-3L health state valuations among patients with musculoskeletal diseases, health care professionals and healthy volunteers," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(8), pages 865-877, November.

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