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Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium

Author

Listed:
  • Margaret Holmes-Rovner

    (College of Human Medicine, Michigan State University, East Lansing, mholmes@msu.edu)

  • Wendy L. Nelson

    (Behavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, Maryland)

  • Michael Pignone

    (University of North Carolina, Chapel Hill)

  • Glyn Elwyn

    (Department of Primary Care and Public Health, Cardiff University, UK)

  • David R. Rovner

    (College of Human Medicine, Michigan State University, East Lansing)

  • Annette M. O'Connor

    (Ottawa Health Research Institute and University of Ottawa, Ontario, Canada)

  • Angela Coulter

    (Picker Institute Europe, Oxford, UK)

  • Rosaly Correa-de-Araujo

    (Office of Global Health Affairs, Department of Health and Human Services, Rockville, Maryland)

Abstract

This article reports on the International Patient Decision Aid Standards Symposium held in 2006 at the annual meeting of the Society for Medical Decision Making in Cambridge, Massachusetts. The symposium featured a debate regarding the proposition that ``decision aids are the best way to improve clinical decision making.'' The formal debate addressed the theoretical problem of the appropriate gold standard for an improved decision, efficacy of decision aids, and prospects for implementation. Audience comments and questions focused on both theory and practice: the often unacknowledged roots of decision aids in expected utility theory and the practical problems of limited patient decision aid implementation in health care. The participants' vote on the proposition was approximately half for and half against.

Suggested Citation

  • Margaret Holmes-Rovner & Wendy L. Nelson & Michael Pignone & Glyn Elwyn & David R. Rovner & Annette M. O'Connor & Angela Coulter & Rosaly Correa-de-Araujo, 2007. "Are Patient Decision Aids the Best Way to Improve Clinical Decision Making? Report of the IPDAS Symposium," Medical Decision Making, , vol. 27(5), pages 599-608, September.
    • Handle: RePEc:sae:medema:v:27:y:2007:i:5:p:599-608
    DOI: 10.1177/0272989X07307272
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    References listed on IDEAS

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    1. Wennberg, John E. & Barnes, Benjamin A. & Zubkoff, Michael, 1982. "Professional uncertainty and the problem of supplier-induced demand," Social Science & Medicine, Elsevier, vol. 16(7), pages 811-824, January.
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    Cited by:

    1. Sergey Motorny & Surendra Sarnikar & Cherie Noteboom, 2022. "Design of an Intelligent Patient Decision aid Based on Individual Decision-Making Styles and Information Need Preferences," Information Systems Frontiers, Springer, vol. 24(4), pages 1249-1264, August.
    2. repec:cup:judgdm:v:4:y:2009:i:2:p:141-146 is not listed on IDEAS
    3. Armstrong, David, 2023. "The social life of risk probabilities in medicine," Social Science & Medicine, Elsevier, vol. 323(C).
    4. Edi Karni & Moshe Leshno & Sivan Rapaport, 2014. "Helping patients and physicians reach individualized medical decisions: theory and application to prenatal diagnostic testing," Theory and Decision, Springer, vol. 76(4), pages 451-467, April.
    5. Mehmet Eren Ahsen & Mehmet Ulvi Saygi Ayvaci & Srinivasan Raghunathan, 2019. "When Algorithmic Predictions Use Human-Generated Data: A Bias-Aware Classification Algorithm for Breast Cancer Diagnosis," Service Science, INFORMS, vol. 30(1), pages 97-116, March.
    6. Victoria A. Shaffer & Lukas Hulsey, 2009. "Are patient decision aids effective? Insight from revisiting the debate between correspondence and coherence theories of judgment," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(2), pages 141-146, March.

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