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Societal Preferences for Interventions with the Same Efficiency: Assessment and Application to Decision Making

Author

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  • Takeru Shiroiwa

    (National Institute of Public Health)

  • Shinya Saito

    (Graduate School of Health Sciences, Okayama University)

  • Kojiro Shimozuma

    (College of Life Sciences, Ritsumeikan University)

  • Satoshi Kodama

    (Graduate School of Letters, Kyoto University)

  • Shinichi Noto

    (Niigata University of Health and Welfare)

  • Takashi Fukuda

    (National Institute of Public Health)

Abstract

Background and Objectives Although quality-adjusted life-years (QALYs) may not completely reflect the value of a healthcare technology, it remains unclear how to adjust the cost per QALY threshold. First, the present study compares two survey methods of measuring people’s preferences for a specific healthcare technology when each choice has the same efficiency. The second objective was to consider how this information regarding preferences could be used in decision making. Methods We conducted single-attribute (budget allocation) and multi-attribute (discrete-choice) experiments to survey public medical care preferences. Approximately 1000 respondents were sampled for each experiment. Six questions were prepared to address the attributes included in the study: (a) age; (b) objective of care; (c) disease severity; (d) prior medical care; (e) cause of disease; and (f) disease frequency. For the discrete-choice experiment (a) age, (b) objective of care, (c) disease severity, and (d) prior medical care were orthogonally combined. All assumed medical care had the same costs and incremental cost-effectiveness ratio (ICER; cost per life-year or QALY). We also calculated the preference-adjusted threshold (PAT) to reflect people’s preferences in a threshold range. Results The results of both experiments revealed similar preferences: intervention for younger patients was strongly preferred, followed by interventions for treatment and severe disease states being preferred, despite the same cost per life-year or QALY. The single-attribute experiment revealed that many people prefer an option in which resources are equally allocated between two interventions. Marginal PATs were calculated for age, objective of care, disease severity, and prior medical care. Conclusion The single- and multi-attribute experiments revealed similar preferences. PAT can reflect people’s preferences within the decision-maker’s threshold range in a numerical manner.

Suggested Citation

  • Takeru Shiroiwa & Shinya Saito & Kojiro Shimozuma & Satoshi Kodama & Shinichi Noto & Takashi Fukuda, 2016. "Societal Preferences for Interventions with the Same Efficiency: Assessment and Application to Decision Making," Applied Health Economics and Health Policy, Springer, vol. 14(3), pages 375-385, June.
    • Handle: RePEc:spr:aphecp:v:14:y:2016:i:3:d:10.1007_s40258-016-0236-3
    DOI: 10.1007/s40258-016-0236-3
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    References listed on IDEAS

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    1. Nord, Erik & Richardson, Jeff & Street, Andrew & Kuhse, Helga & Singer, Peter, 1995. "Who cares about cost? Does economic analysis impose or reflect social values?," Health Policy, Elsevier, vol. 34(2), pages 79-94, November.
    2. Shah, Koonal K., 2009. "Severity of illness and priority setting in healthcare: A review of the literature," Health Policy, Elsevier, vol. 93(2-3), pages 77-84, December.
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    Cited by:

    1. Smeele, Nicholas V.R. & Chorus, Caspar G. & Schermer, Maartje H.N. & de Bekker-Grob, Esther W., 2023. "Towards machine learning for moral choice analysis in health economics: A literature review and research agenda," Social Science & Medicine, Elsevier, vol. 326(C).
    2. Bae, Eun-Young & Lim, Min Kyoung & Lee, Boram & Bae, Green & Hong, Jihyung, 2023. "Public preferences in healthcare resource allocation: A discrete choice experiment in South Korea," Health Policy, Elsevier, vol. 138(C).
    3. Vikas Soekhai & Esther W. Bekker-Grob & Alan R. Ellis & Caroline M. Vass, 2019. "Discrete Choice Experiments in Health Economics: Past, Present and Future," PharmacoEconomics, Springer, vol. 37(2), pages 201-226, February.

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