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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.

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Bibliographic Info

Article provided by Elsevier in its journal Social Science & Medicine.

Volume (Year): 54 (2002)
Issue (Month): 6 (March)
Pages: 919-929

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Handle: RePEc:eee:socmed:v:54:y:2002:i:6:p:919-929

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Related research

Keywords: Health state valuation Time trade-off Visual analogue scale EQ-5D;

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Cited by:
  1. 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.
  2. 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, vol. 13(4), pages 491-500, August.
  3. 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.
  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.
  5. 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.
  6. 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.

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