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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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    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. 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.
    3. 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.
    4. 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, May.
    5. 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.
    6. 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.
    7. Tara A. Lavelle & Milton C. Weinstein & Joseph P. Newhouse & Kerim Munir & Karen A. Kuhlthau & Lisa A. Prosser, 2019. "Parent Preferences for Health Outcomes Associated with Autism Spectrum Disorders," PharmacoEconomics, Springer, vol. 37(4), pages 541-551, April.
    8. John Brazier & Jennifer Roberts & Donna Rowen, 2012. "Methods for Developing Preference-based Measures of Health," Chapters, in: Andrew M. Jones (ed.),The Elgar Companion to Health Economics, Second Edition, chapter 37, Edward Elgar Publishing.
    9. Arthur E. Attema & Matthijs M. Versteegh & Mark Oppe & Werner B. F. Brouwer & Elly A. Stolk, 2013. "Lead Time Tto: Leading To Better Health State Valuations?," Health Economics, John Wiley & Sons, Ltd., vol. 22(4), pages 376-392, April.
    10. Katharine S. Gries & Dean A. Regier & Scott D. Ramsey & Donald L. Patrick, 2017. "Utility Estimates of Disease-Specific Health States in Prostate Cancer from Three Different Perspectives," Applied Health Economics and Health Policy, Springer, vol. 15(3), pages 375-384, June.
    11. 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, vol. 153(C), pages 210-219.
    12. Karimi, M. & Brazier, J. & Paisley, S., 2017. "How do individuals value health states? A qualitative investigation," Social Science & Medicine, Elsevier, vol. 172(C), pages 80-88.
    13. 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.
    14. Nicolas A. Menzies & Joshua A. Salomon, 2011. "Non‐monotonicity in the episodic random utility model," Health Economics, John Wiley & Sons, Ltd., vol. 20(12), pages 1523-1531, December.
    15. Richard Norman & Rebecca Mercieca‐Bebber & Donna Rowen & John E. Brazier & David Cella & A. Simon Pickard & Deborah J. Street & Rosalie Viney & Dennis Revicki & Madeleine T. King & On behalf of the Eu, 2019. "U.K. utility weights for the EORTC QLU‐C10D," Health Economics, John Wiley & Sons, Ltd., vol. 28(12), pages 1385-1401, December.
    16. Zsombor Zrubka & Zoltán Hermann & László Gulácsi & Valentin Brodszky & Fanni Rencz & Márta Péntek, 2019. "Determinants of the acceptability of health problems in different ages: exploring a new application of the EQ VAS," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 31-41, June.
    17. 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.
    18. Anne Spencer & Ewan Tomeny & Ruben E. Mujica-Mota & Angela Robinson & Judith Covey & Jose Luis Pinto-Prades, 2019. "Do time trade-off values fully capture attitudes that are relevant to health-related choices?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(4), pages 559-568, June.
    19. Floortje Nooten & Jan Busschbach & Michel Agthoven & Job Exel & Werner Brouwer, 2018. "What should we know about the person behind a TTO?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(9), pages 1207-1211, December.
    20. 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.

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