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Creating an SF-6Dv2 social value set for New Zealand

Author

Listed:
  • Sullivan, Trudy
  • McCarty, Georgia
  • Ombler, Franz
  • Turner, Robin
  • Mulhern, Brendan
  • Hansen, Paul

Abstract

The SF-6D health descriptive system and its second version published in 2020, the SF-6Dv2, is used worldwide for valuing health-related quality of life (HRQoL) for economic evaluation and measuring patient-reported health outcomes. In this study, a valuation tool was developed and applied to create a social value set, comprising 18,750 health state values, for the SF-6Dv2 for New Zealand (NZ). This tool was adapted and extended from the one used to create a social value set for the EQ-5D-5L, a simpler health descriptive system with fewer dimensions and health states. The tool implements the PAPRIKA method, a type of adaptive discrete choice experiment, and a binary search algorithm to identify health states worse than dead and has extensive data quality controls to ensure the validity and reliability of the social value set derived from participants' personal value sets. The tool, accompanied by a short introductory video designed specifically for the SF-6Dv2, was distributed via an online survey to a large representative sample of adult New Zealanders in June–July 2022. The tool's data quality controls enabled participants who failed to understand or sincerely engage with the valuation tasks to be identified and excluded, resulting in the participants being pared down to a sub-sample of 2985 ‘high-quality’ participants whose personal value sets were averaged for the social value set. These results, including participants' positive feedback, demonstrate the feasibility and acceptability of using the tool to value larger health descriptive systems such as the SF-6Dv2. Having successfully created an SF-6Dv2 social value set for NZ, the valuation tool can be readily applied to other countries, used to generate personal value sets for personalised medicine and adapted to create value sets for other health descriptive systems.

Suggested Citation

  • Sullivan, Trudy & McCarty, Georgia & Ombler, Franz & Turner, Robin & Mulhern, Brendan & Hansen, Paul, 2024. "Creating an SF-6Dv2 social value set for New Zealand," Social Science & Medicine, Elsevier, vol. 354(C).
    • Handle: RePEc:eee:socmed:v:354:y:2024:i:c:s0277953624005264
    DOI: 10.1016/j.socscimed.2024.117073
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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, Decembrie.
    2. Haode Wang & Donna L. Rowen & John E. Brazier & Litian Jiang, 2023. "Discrete Choice Experiments in Health State Valuation: A Systematic Review of Progress and New Trends," Applied Health Economics and Health Policy, Springer, vol. 21(3), pages 405-418, May.
    3. Brazier, John & Roberts, Jennifer & Deverill, Mark, 2002. "The estimation of a preference-based measure of health from the SF-36," Journal of Health Economics, Elsevier, vol. 21(2), pages 271-292, March.
    4. Brendan Mulhern & Richard Norman & John Brazier, 2021. "Valuing SF-6Dv2 in Australia Using an International Protocol," PharmacoEconomics, Springer, vol. 39(10), pages 1151-1162, October.
    5. Potoglou, Dimitris & Burge, Peter & Flynn, Terry & Netten, Ann & Malley, Juliette & Forder, Julien & Brazier, John E., 2011. "Best-worst scaling vs. discrete choice experiments: An empirical comparison using social care data," Social Science & Medicine, Elsevier, vol. 72(10), pages 1717-1727, May.
    6. Burge, Peter & Netten, Ann & Gallo, Federico, 2010. "Estimating the value of social care," Journal of Health Economics, Elsevier, vol. 29(6), pages 883-894, December.
    7. 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).
    8. Franz Ombler & Michael Albert & Paul Hansen, 2018. "How Significant Are “High†Correlations Between EQ-5D Value Sets?," Medical Decision Making, , vol. 38(6), pages 635-645, August.
    9. Sullivan, Trudy & Hansen, Paul & Ombler, Franz & Derrett, Sarah & Devlin, Nancy, 2020. "A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’," Social Science & Medicine, Elsevier, vol. 246(C).
    10. Nancy J. Devlin & Paul Hansen & Paul Kind & Alan Williams, 2003. "Logical inconsistencies in survey respondents' health state valuations ‐ a methodological challenge for estimating social tariffs," Health Economics, John Wiley & Sons, Ltd., vol. 12(7), pages 529-544, July.
    11. Brendan Mulhern & Richard Norman & Deborah J. Street & Rosalie Viney, 2019. "One Method, Many Methodological Choices: A Structured Review of Discrete-Choice Experiments for Health State Valuation," PharmacoEconomics, Springer, vol. 37(1), pages 29-43, January.
    12. Jing Wu & Shitong Xie & Xiaoning He & Gang Chen & Gengliang Bai & Da Feng & Ming Hu & Jie Jiang & Xiaohui Wang & Hongyan Wu & Qunhong Wu & John E. Brazier, 2021. "Valuation of SF-6Dv2 Health States in China Using Time Trade-off and Discrete-Choice Experiment with a Duration Dimension," PharmacoEconomics, Springer, vol. 39(5), pages 521-535, May.
    13. Meyerhoff, Jürgen & Oehlmann, Malte, 2023. "The performance of full versus partial profile choice set designs in environmental valuation," Ecological Economics, Elsevier, vol. 204(PA).
    14. Jack Powers & James M. McGree & David Grieve & Ratna Aseervatham & Suzanne Ryan & Paul Corry, 2023. "Managing surgical waiting lists through dynamic priority scoring," Health Care Management Science, Springer, vol. 26(3), pages 533-557, September.
    15. Srikumar, Gajan & Eglinton, Tim & MacCormick, Andrew D., 2020. "Development of the General surgery prioritisation tool implemented in New Zealand in 2018," Health Policy, Elsevier, vol. 124(10), pages 1043-1049.
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