IDEAS home Printed from https://ideas.repec.org/a/spr/aphecp/v14y2016i3d10.1007_s40258-016-0236-3.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40258-016-0236-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40258-016-0236-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    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. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Gu, Yuanyuan & Lancsar, Emily & Ghijben, Peter & Butler, James RG & Donaldson, Cam, 2015. "Attributes and weights in health care priority setting: A systematic review of what counts and to what extent," Social Science & Medicine, Elsevier, vol. 146(C), pages 41-52.
    2. Matthijs M. Versteegh & Isaac Corro Ramos & Nasuh C. Buyukkaramikli & Amir Ansaripour & Vivian T. Reckers-Droog & Werner B. F. Brouwer, 2019. "Severity-Adjusted Probability of Being Cost Effective," PharmacoEconomics, Springer, vol. 37(9), pages 1155-1163, September.
    3. Erik Nord, 2015. "Cost-Value Analysis of Health Interventions: Introduction and Update on Methods and Preference Data," PharmacoEconomics, Springer, vol. 33(2), pages 89-95, February.
    4. McHugh, Neil & Pinto-Prades, José Luis & Baker, Rachel & Mason, Helen & Donaldson, Cam, 2020. "Exploring the relative value of end of life QALYs: Are the comparators important?," Social Science & Medicine, Elsevier, vol. 245(C).
    5. Richardson, Jeff & Sinha, Kompal & Iezzi, Angelo & Maxwell, Aimee, 2012. "Maximising health versus sharing: Measuring preferences for the allocation of the health budget," Social Science & Medicine, Elsevier, vol. 75(8), pages 1351-1361.
    6. Anna Nicolet & Antoinette D I van Asselt & Karin M Vermeulen & Paul F M Krabbe, 2020. "Value judgment of new medical treatments: Societal and patient perspectives to inform priority setting in The Netherlands," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-18, July.
    7. Peter A. Ubel & Jeff Richardson & Paul Menzel, 2000. "Societal value, the person trade‐off, and the dilemma of whose values to measure for cost‐effectiveness analysis," Health Economics, John Wiley & Sons, Ltd., vol. 9(2), pages 127-136, March.
    8. John A. Nyman, 2006. "More on survival consumption costs in cost‐utility analysis," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 319-322, March.
    9. Donna Rowen & John Brazier & Anju Keetharuth & Aki Tsuchiya & Clara Mukuria, 2016. "Comparison of Modes of Administration and Alternative Formats for Eliciting Societal Preferences for Burden of Illness," Applied Health Economics and Health Policy, Springer, vol. 14(1), pages 89-104, February.
    10. Liesbet Wetering & Job Exel & Ana Bobinac & Werner Brouwer, 2015. "Valuing QALYs in Relation to Equity Considerations Using a Discrete Choice Experiment," PharmacoEconomics, Springer, vol. 33(12), pages 1289-1300, December.
    11. Donna Rowen & John Brazier & Clara Mukuria & Anju Keetharuth & Arne Risa Hole & Aki Tsuchiya & Sophie Whyte & Phil Shackley, 2016. "Eliciting Societal Preferences for Weighting QALYs for Burden of Illness and End of Life," Medical Decision Making, , vol. 36(2), pages 210-222, February.
    12. Hannah Christensen & Hareth Al-Janabi & Pierre Levy & Maarten J. Postma & David E. Bloom & Paolo Landa & Oliver Damm & David M. Salisbury & Javier Diez-Domingo & Adrian K. Towse & Paula K. Lorgelly & , 2020. "Economic evaluation of meningococcal vaccines: considerations for the future," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(2), pages 297-309, March.
    13. Kevin Marsh & Nicolas Krucien, 2022. "Evaluating the Consistency of Patient Preference Estimates: Systematic Variation in Survival—Adverse Event Trade-Offs in Patients with Cancer or Cardiovascular Disease," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(1), pages 69-75, January.
    14. Lesley Chim & Glenn Salkeld & Patrick Kelly & Wendy Lipworth & Dyfrig A Hughes & Martin R Stockler, 2017. "Societal perspective on access to publicly subsidised medicines: A cross sectional survey of 3080 adults in Australia," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-24, March.
    15. Koonal Shah & Aki Tsuchiya & Allan Wailoo, 2014. "Valuing health at the end of life: an empirical study of public preferences," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 15(4), pages 389-399, May.
    16. Broqvist, Mari & Sandman, Lars & Garpenby, Peter & Krevers, Barbro, 2018. "The meaning of severity – do citizenś views correspond to a severity framework based on ethical principles for priority setting?," Health Policy, Elsevier, vol. 122(6), pages 630-637.
    17. Joseph Millum, 2023. "Should health research funding be proportional to the burden of disease?," Politics, Philosophy & Economics, , vol. 22(1), pages 76-99, February.
    18. Jeremiah Hurley & Neil Buckley & Katherine Cuff & Mita Giacomini & David Cameron, 2011. "Judgments regarding the fair division of goods: the impact of verbal versus quantitative descriptions of alternative divisions," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 37(2), pages 341-372, July.
    19. Jennifer Whitty & Paul Scuffham & Sharyn Rundle-Thielee, 2011. "Public and decision maker stated preferences for pharmaceutical subsidy decisions," Applied Health Economics and Health Policy, Springer, vol. 9(2), pages 73-79, March.
    20. Erik Nord & Jose Luis Pinto & Jeff Richardson & Paul Menzel & Peter Ubel, 1999. "Incorporating societal concerns for fairness in numerical valuations of health programmes," Health Economics, John Wiley & Sons, Ltd., vol. 8(1), pages 25-39, February.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:aphecp:v:14:y:2016:i:3:d:10.1007_s40258-016-0236-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.