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Valuing SF-6D Health States Using a Discrete Choice Experiment

Author

Listed:
  • Richard Norman
  • Rosalie Viney
  • John Brazier
  • Leonie Burgess
  • Paula Cronin
  • Madeleine King
  • Julie Ratcliffe
  • Deborah Street

Abstract

Background. SF-6D utility weights are conventionally produced using a standard gamble (SG). SG-derived weights consistently demonstrate a floor effect not observed with other elicitation techniques. Recent advances in discrete choice methods have allowed estimation of utility weights. The objective was to produce Australian utility weights for the SF-6D and to explore the application of discrete choice experiment (DCE) methods in this context. We hypothesized that weights derived using this method would reflect the largely monotonic construction of the SF-6D. Methods . We designed an online DCE and administered it to an Australia-representative online panel ( n = 1017). A range of specifications investigating nonlinear preferences with respect to additional life expectancy were estimated using a random-effects probit model. The preferred model was then used to estimate a preference index such that full health and death were valued at 1 and 0, respectively, to provide an algorithm for Australian cost-utility analyses. Results . Physical functioning, pain, mental health, and vitality were the largest drivers of utility weights. Combining levels to remove illogical orderings did not lead to a poorer model fit. Relative to international SG-derived weights, the range of utility weights was larger with 5% of health states valued below zero. Conclusion s. DCEs can be used to investigate preferences for health profiles and to estimate utility weights for multi-attribute utility instruments. Australian cost-utility analyses can now use domestic SF-6D weights. The comparability of DCE results to those using other elicitation methods for estimating utility weights for quality-adjusted life-year calculations should be further investigated.

Suggested Citation

  • Richard Norman & Rosalie Viney & John Brazier & Leonie Burgess & Paula Cronin & Madeleine King & Julie Ratcliffe & Deborah Street, 2014. "Valuing SF-6D Health States Using a Discrete Choice Experiment," Medical Decision Making, , vol. 34(6), pages 773-786, August.
    • Handle: RePEc:sae:medema:v:34:y:2014:i:6:p:773-786
    DOI: 10.1177/0272989X13503499
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    References listed on IDEAS

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    1. Brazier, John & Ratcliffe, Julie & Salomon, Joshua & Tsuchiya, Aki, 2016. "Measuring and Valuing Health Benefits for Economic Evaluation," OUP Catalogue, Oxford University Press, edition 2, number 9780198725923.
    2. Arne Risa Hole, 2007. "A comparison of approaches to estimating confidence intervals for willingness to pay measures," Health Economics, John Wiley & Sons, Ltd., vol. 16(8), pages 827-840, August.
    3. Madeleine T. King & Jane Hall & Emily Lancsar & Denzil Fiebig & Ishrat Hossain & Jordan Louviere & Helen K. Reddel & Christine R. Jenkins, 2007. "Patient preferences for managing asthma: results from a discrete choice experiment," Health Economics, John Wiley & Sons, Ltd., vol. 16(7), pages 703-717, July.
    4. Richard Norman & Paula Cronin & Rosalie Viney, 2013. "A Pilot Discrete Choice Experiment to Explore Preferences for EQ-5D-5L Health States," Applied Health Economics and Health Policy, Springer, vol. 11(3), pages 287-298, June.
    5. Rosalie Viney & Richard Norman & John Brazier & Paula Cronin & Madeleine T. King & Julie Ratcliffe & Deborah Street, 2014. "An Australian Discrete Choice Experiment To Value Eq‐5d Health States," Health Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 729-742, June.
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    2. Nicolet, Anna & Perraudin, Clémence & Krucien, Nicolas & Wagner, Joël & Peytremann-Bridevaux, Isabelle & Marti, Joachim, 2023. "Preferences of older adults for healthcare models designed to improve care coordination: Evidence from Western Switzerland," Health Policy, Elsevier, vol. 132(C).
    3. Yiu, Hei Hang Edmund & Buckell, John & Petrou, Stavros & Stewart-Brown, Sarah & Madan, Jason, 2023. "Derivation of a UK preference-based value set for the Short Warwick-Edinburgh Mental Well-being Scale (SWEMWBS) to allow estimation of Mental Well-being Adjusted Life Years (MWALYs)," Social Science & Medicine, Elsevier, vol. 327(C).
    4. Kathleen Manipis & Brendan Mulhern & Philip Haywood & Rosalie Viney & Stephen Goodall, 2023. "Estimating the willingness-to-pay to avoid the consequences of foodborne illnesses: a discrete choice experiment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(5), pages 831-852, July.
    5. Marcel F. Jonker & Richard Norman, 2022. "Not all respondents use a multiplicative utility function in choice experiments for health state valuations, which should be reflected in the elicitation format (or statistical analysis)," Health Economics, John Wiley & Sons, Ltd., vol. 31(2), pages 431-439, February.
    6. Osman, Ahmed M.Y. & Wu, Jing & He, Xiaoning & Chen, Gang, 2021. "Eliciting SF-6Dv2 health state utilities using an anchored best-worst scaling technique," Social Science & Medicine, Elsevier, vol. 279(C).

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