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A new tool for creating personal and social EQ-5D-5L value sets, including valuing ‘dead’

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  • Sullivan, Trudy
  • Hansen, Paul
  • Ombler, Franz
  • Derrett, Sarah
  • Devlin, Nancy

Abstract

The EuroQol Group's health descriptive systems, the EQ-5D-3L and its successor introduced in 2009, the EQ-5D-5L, are widely used worldwide for valuing health-related quality of life for cost-utility analysis and patient-reported health outcome measures. A new online tool for creating personal and social EQ-5D-5L value sets was recently developed and trialled in New Zealand (NZ). The tool, which includes extensive checks of the quality of participants' data, implements the PAPRIKA method – a novel type of adaptive discrete choice experiment in the present context – and a binary search algorithm to identify any health states worse than dead. After development and testing, the tool was distributed in an online survey in February and March 2018 to a representative sample of NZ adults (N = 5112), whose personal value sets were created. The tool's extensive data quality checks resulted in a ‘high-quality’ sub-sample of 2468 participants whose personal value sets were, in effect, averaged to create a social value set for NZ. These results overall as well as feedback from participants indicates that the new valuation tool is feasible and acceptable to participants, enabling valuation data to be relatively easily and cheaply collected. The tool could also be used in other countries, tested against other methods for creating EQ-5D-5L value sets, applied in personalised medicine and adapted to create value sets for other health descriptive systems.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:socmed:v:246:y:2020:i:c:s0277953619307026
    DOI: 10.1016/j.socscimed.2019.112707
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    2. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    3. María Carmen Carnero, 2020. "Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method," Mathematics, MDPI, vol. 8(8), pages 1-29, August.
    4. 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).
    5. Babashahi, Saeideh & Hansen, Paul & Sullivan, Trudy, 2021. "Creating a priority list of non-communicable diseases to support health research funding decision-making," Health Policy, Elsevier, vol. 125(2), pages 221-228.
    6. Mark McGillivray & Simon Feeny & Paul Hansen & Stephen Knowles & Franz Ombler, 2023. "What are Valid Weights for the Human Development Index? A Discrete Choice Experiment for the United Kingdom," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 679-694, January.

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