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The time trade‐off method: Results from a general population study

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  • Paul Dolan
  • Claire Gudex
  • Paul Kind
  • Alan Williams

Abstract

An important consideration when establishing priorities in health care is the likely effects that alternative allocations of resources will have on health‐related quality‐of‐life (HRQoL). This paper reports on a large‐scale national study that elicited the relative valuations attached by the general public to different states of health (defined in HRQoL terms). Health state valuations were derived using the time trade‐off (TTO) method. The data from 3395 respondents were highly consistent, suggesting that it is feasible to use the TTO method to elicit valuations from the general public. The paper shows that valuations for severe health states appear to be affected by the age and the sex of the respondent; those aged 18–59 have higher valuations than those aged 60 or over and men have higher valuations than women. These results contradict those reported elsewhere and suggest that the small samples used in other studies may be concealing real differences that exist between population sub‐groups. This has important implications for public policy decisions.

Suggested Citation

  • Paul Dolan & Claire Gudex & Paul Kind & Alan Williams, 1996. "The time trade‐off method: Results from a general population study," Health Economics, John Wiley & Sons, Ltd., vol. 5(2), pages 141-154, March.
    • Handle: RePEc:wly:hlthec:v:5:y:1996:i:2:p:141-154
    DOI: 10.1002/(SICI)1099-1050(199603)5:23.0.CO;2-N
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    Cited by:

    1. David J. Mott & Iain Leslie & Koonal Shah & Jennifer Rowell & Nicolas Scheuer, 2021. "Impact of Including Carer Information in Time Trade-Off Tasks: Results from a Pilot Study," PharmacoEconomics - Open, Springer, vol. 5(4), pages 665-675, December.
    2. Marieke Krol & Arthur E. Attema & Job van Exel & Werner Brouwer, 2016. "Altruistic Preferences in Time Tradeoff," Medical Decision Making, , vol. 36(2), pages 187-198, February.
    3. Martyn Lewis & Linda S Chesterton & Julius Sim & Christian D Mallen & Elaine M Hay & Daniëlle A van der Windt, 2015. "An Economic Evaluation of TENS in Addition to Usual Primary Care Management for the Treatment of Tennis Elbow: Results from the TATE Randomized Controlled Trial," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-14, August.
    4. Mônica Viegas Andrade & Kenya Noronha & Paul Kind & Carla de Barros Reis & Lucas Resende de Carvalho, 2016. "Logical Inconsistencies in 3 Preference Elicitation Methods for EQ-5D Health States," Medical Decision Making, , vol. 36(2), pages 242-252, February.
    5. Liv Ariane Augestad & Kim Rand-Hendriksen & Ivar Sønbø Kristiansen & Knut Stavem, 2012. "Impact of Transformation of Negative Values and Regression Models on Differences Between the UK and US EQ-5D Time Trade-Off Value Sets," PharmacoEconomics, Springer, vol. 30(12), pages 1203-1214, December.
    6. Spencer, Anne & Rivero-Arias, Oliver & Wong, Ruth & Tsuchiya, Aki & Bleichrodt, Han & Edwards, Rhiannon Tudor & Norman, Richard & Lloyd, Andrew & Clarke, Philip, 2022. "The QALY at 50: One story many voices," Social Science & Medicine, Elsevier, vol. 296(C).
    7. Robert M. Kaplan & Catherine M. Crespi & Ely Dahan & Josemanuel D. Saucedo & Casey Pagan & Christopher S. Saigal, 2019. "Comparison of Rating Scale, Time Tradeoff, and Conjoint Analysis Methods for Assessment of Preferences in Prostate Cancer," Medical Decision Making, , vol. 39(7), pages 816-826, October.
    8. Louis S. Matza & L. Clark Paramore & Katie D. Stewart & Hayley Karn & Minesh Jobanputra & Andrew C. Dietz, 2020. "Health state utilities associated with treatment for transfusion-dependent β-thalassemia," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(3), pages 397-407, April.
    9. Bernt Kartman & Gudrun Gatz & Magnus Johannesson, 2004. "Health State Utilities in Gastroesophageal Reflux Disease Patients with Heartburn: A Study in Germany and Sweden," Medical Decision Making, , vol. 24(1), pages 40-52, January.

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