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Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluation at end of life

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  • Huynh, Elisabeth
  • Coast, Joanna
  • Rose, John
  • Kinghorn, Philip
  • Flynn, Terry

Abstract

End of life care may have elements of value that go beyond health. A generic measure of the benefits of end of life care could be helpful to decision makers. Such a measure, based on the capability approach, has recently been developed: the ICECAP Supportive Care Measure. This paper reports the first valuation exercise for that measure, with data from 6020 individuals collected from an on-line general population panel during June 2013. Individuals were asked to complete a stated choice experiment that combined best-worst scaling and a standard discrete choice experiment. Analysis of the best-worst data used limited dependent variable models within the random utility framework including the multinomial logit models and latent class choice model analysis. Exploratory steps were taken to determine the similarity of the best-worst and DCE data before formal testing and pooling of the two data sources. Combined data were analysed in a heteroscedastic conditional logit model adjusting for continuous scale. Two sets of tariffs were generated, one from the best-worst data capturing only main effects, and a second from the pooled data allowing for two-way interactions. Either tariff could be used in economic evaluation of interventions at the end of life, although there are advantages and disadvantages with each. This extensive valuation exercise for the ICECAP Supportive Care Measure, with a large number of members of the general public, could be complemented in the future with best-worst scaling studies amongst those experiencing the end of life.

Suggested Citation

  • Huynh, Elisabeth & Coast, Joanna & Rose, John & Kinghorn, Philip & Flynn, Terry, 2017. "Values for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluation at end of life," Social Science & Medicine, Elsevier, vol. 189(C), pages 114-128.
  • Handle: RePEc:eee:socmed:v:189:y:2017:i:c:p:114-128
    DOI: 10.1016/j.socscimed.2017.07.012
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    5. Paul Mark Mitchell & Samantha Husbands & Sarah Byford & Philip Kinghorn & Cara Bailey & Tim J. Peters & Joanna Coast, 2021. "Challenges in developing capability measures for children and young people for use in the economic evaluation of health and care interventions," Health Economics, John Wiley & Sons, Ltd., vol. 30(9), pages 1990-2003, September.
    6. Joanna Coast, 2019. "Assessing capability in economic evaluation: a life course approach?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 779-784, August.
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    8. Judith Dams & Elisabeth Huynh & Steffi Riedel-Heller & Margrit Löbner & Christian Brettschneider & Hans-Helmut König, 2021. "German tariffs for the ICECAP-Supportive Care Measure (ICECAP-SCM) for use in economic evaluations at the end of life," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(3), pages 365-380, April.
    9. Mina Bahrampour & Joshua Byrnes & Richard Norman & Paul A. Scuffham & Martin Downes, 2020. "Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(7), pages 983-992, September.
    10. Philip Kinghorn & Joanna Coast, 2018. "Assessing the capability to experience a 'good death': A qualitative study to directly elicit expert views on a new supportive care measure grounded in Sen's capability approach," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-14, February.
    11. Joanna Coast & Cara Bailey & Rosanna Orlando & Kathy Armour & Rachel Perry & Louise Jones & Philip Kinghorn, 2018. "Adaptation, Acceptance and Adaptive Preferences in Health and Capability Well-Being Measurement Amongst Those Approaching End of Life," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 11(5), pages 539-546, October.
    12. Joanna Coast & Cara Bailey & Alastair Canaway & Philip Kinghorn, 2021. "“It is not a scientific number it is just a feeling”: Populating a multi‐dimensional end‐of‐life decision framework using deliberative methods," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1033-1049, May.
    13. 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.
    14. Kibel, Mia & Vanstone, Meredith, 2017. "Reconciling ethical and economic conceptions of value in health policy using the capabilities approach: A qualitative investigation of Non-Invasive Prenatal Testing," Social Science & Medicine, Elsevier, vol. 195(C), pages 97-104.
    15. Coast, Joanna, 2018. "A history that goes hand in hand: Reflections on the development of health economics and the role played by Social Science & Medicine, 1967–2017," Social Science & Medicine, Elsevier, vol. 196(C), pages 227-232.
    16. Hajji, Assma & Trukeschitz, Birgit & Malley, Juliette & Batchelder, Laurie & Saloniki, Eirini & Linnosmaa, Ismo & Lu, Hui, 2020. "Population-based preference weights for the Adult Social Care Outcomes Toolkit (ASCOT) for service users for Austria: Findings from a best-worst experiment," Social Science & Medicine, Elsevier, vol. 250(C).

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