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Communicating the Uncertainty of Harms and Benefits of Medical Interventions

Author

Listed:
  • Mary C. Politi

    (Brown Medical School/Rhode Island Hospital, Providence, Rhode Island)

  • Paul K. J. Han

    (Outcomes Research Branch, Applied Research Program, Division of Cancer Control and Population Sciences National Cancer Institute, Rockville, Maryland)

  • Nananda F. Col

    (Brown Medical School/Rhode Island Hospital, Providence, Rhode Island, coln@mmc.org)

Abstract

Background. There is growing interest in shared medical decision making among patients, physicians, and policy makers. This requires patients to interpret increasing amounts of medical information, much of which is uncertain. Little is known about the optimal approaches to or outcomes of communicating uncertainty about the risks and benefits of treatments. Methods. The authors reviewed the literature on various issues related to uncertainty in decision making: conceptualizing uncertainty, identifying its potential sources, assessing uncertainty, potential methods of communicating uncertainty, potential outcomes of communicating uncertainty, and current practices and recommendations by expert groups on communicating uncertainty. Results. There are multiple sources of uncertainty in most medical decisions. There are conceptual differences in how researchers define uncertainty and its sources, as well as in its measurement. The few studies that have assessed alternate means of communicating uncertainty dealt mostly with presenting uncertainty about probabilities. Both patients' and physicians' interpretation of and responses to uncertainty may depend on their personal characteristics and values and may be affected by the manner in which uncertainty is communicated. Conclusions. Research has not yet identified best practices for communicating uncertainty to patients about harms and benefits of treatment. More conceptual, qualitative, and quantitative studies are needed to explore fundamental questions about how people process, interpret, and respond to various types of uncertainty inherent in clinical decisions.

Suggested Citation

  • Mary C. Politi & Paul K. J. Han & Nananda F. Col, 2007. "Communicating the Uncertainty of Harms and Benefits of Medical Interventions," Medical Decision Making, , vol. 27(5), pages 681-695, September.
  • Handle: RePEc:sae:medema:v:27:y:2007:i:5:p:681-695
    DOI: 10.1177/0272989X07307270
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    References listed on IDEAS

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    Cited by:

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    2. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Dean, Marleah, 2016. "“It’s not if I get cancer, it’s when I get cancer”: BRCA-positive patients’ (un)certain health experiences regarding hereditary breast and ovarian cancer risk," Social Science & Medicine, Elsevier, vol. 163(C), pages 21-27.
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    5. McCormack, Lauren A. & Treiman, Katherine & Rupert, Douglas & Williams-Piehota, Pamela & Nadler, Eric & Arora, Neeraj K. & Lawrence, William & Street Jr., Richard L., 2011. "Measuring patient-centered communication in cancer care: A literature review and the development of a systematic approach," Social Science & Medicine, Elsevier, vol. 72(7), pages 1085-1095, April.
    6. Ruonan Jia & Ellen Furlong & Sean Gao & Laurie R Santos & Ifat Levy, 2020. "Learning about the Ellsberg Paradox reduces, but does not abolish, ambiguity aversion," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-24, March.
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    8. Jakob D. Jensen & Manusheela Pokharel & Courtney L. Scherr & Andy J. King & Natasha Brown & Christina Jones, 2017. "Communicating Uncertain Science to the Public: How Amount and Source of Uncertainty Impact Fatalism, Backlash, and Overload," Risk Analysis, John Wiley & Sons, vol. 37(1), pages 40-51, January.

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