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Communicating Relative Risk Changes with Baseline Risk

Author

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  • Nicolai Bodemer
  • Björn Meder
  • Gerd Gigerenzer

Abstract

Background. Treatment benefits and harms are often communicated as relative risk reductions and increases, which are frequently misunderstood by doctors and patients. One suggestion for improving understanding of such risk information is to also communicate the baseline risk. We investigated 1) whether the presentation format of the baseline risk influences understanding of relative risk changes and 2) the mediating role of people’s numeracy skills. Method. We presented laypeople ( N = 1234) with a hypothetical scenario about a treatment that decreased (Experiments 1a, 2a) or increased (Experiments 1b, 2b) the risk of heart disease. Baseline risk was provided as a percentage or a frequency. In a forced-choice paradigm, the participants’ task was to judge the risk in the treatment group given the relative risk reduction (or increase) and the baseline risk. Numeracy was assessed using the Lipkus 11-item scale. Results. Communicating baseline risk in a frequency format facilitated correct understanding of a treatment’s benefits and harms, whereas a percentage format often impeded understanding. For example, many participants misinterpreted a relative risk reduction as referring to an absolute risk reduction. Participants with higher numeracy generally performed better than those with lower numeracy, but all participants benefitted from a frequency format. Limitations are that we used a hypothetical medical scenario and a nonrepresentative sample. Conclusions. Presenting baseline risk in a frequency format improves understanding of relative risk information, whereas a percentage format is likely to lead to misunderstandings. People’s numeracy skills play an important role in correctly understanding medical information. Overall, communicating treatment benefits and harms in the form of relative risk changes remains problematic, even when the baseline risk is explicitly provided.

Suggested Citation

  • Nicolai Bodemer & Björn Meder & Gerd Gigerenzer, 2014. "Communicating Relative Risk Changes with Baseline Risk," Medical Decision Making, , vol. 34(5), pages 615-626, July.
  • Handle: RePEc:sae:medema:v:34:y:2014:i:5:p:615-626
    DOI: 10.1177/0272989X14526305
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    References listed on IDEAS

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    1. Gabriele Paolacci & Jesse Chandler & Panagiotis G. Ipeirotis, 2010. "Running experiments on Amazon Mechanical Turk," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 5(5), pages 411-419, August.
    2. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
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    Cited by:

    1. Suk, Kwanho & Hwang, Sanyoung & Jeong, Yunjoo, 2022. "The 1-in-X effect in perceptions of risk likelihood differences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
    2. Tentori, K. & Passerini, A. & Timberlake, B. & Pighin, S., 2021. "The misunderstanding of vaccine efficacy," Social Science & Medicine, Elsevier, vol. 289(C).
    3. Sandro Zacher & Birte Berger-Höger & Julia Lühnen & Anke Steckelberg, 2022. "Development and Piloting of a Web-Based Tool to Teach Relative and Absolute Risk Reductions," IJERPH, MDPI, vol. 19(23), pages 1-18, December.
    4. repec:plo:pone00:0138364 is not listed on IDEAS

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