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The Precision-Bias Distinction for Evaluating Visual Decision Aids for Risk Perception

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  • Jessica K. Witt

Abstract

Risk communication is critically important, for both patients and providers. However, people struggle to understand risks because there are inherent biases and limitations to reasoning under uncertainty. A common strategy to enhance risk communication is the use of decision aids, such as charts or graphs, that depict the risk visually. A problem with prior research on visual decision aids is that it used a metric of performance that confounds 2 underlying constructs: precision and bias. Precision refers to a person’s sensitivity to the information, whereas bias refers to a general tendency to overestimate (or underestimate) the level of risk. A visual aid is effective for communicating risk only if it enhances precision or, once precision is suitably high, reduces bias. This article proposes a methodology for evaluating the effectiveness of visual decision aids. Empirical data further illustrate how the new methodology is a significant advancement over more traditional research designs.

Suggested Citation

  • Jessica K. Witt, 2020. "The Precision-Bias Distinction for Evaluating Visual Decision Aids for Risk Perception," Medical Decision Making, , vol. 40(6), pages 846-853, August.
    • Handle: RePEc:sae:medema:v:40:y:2020:i:6:p:846-853
    DOI: 10.1177/0272989X20943516
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    References listed on IDEAS

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    1. Garcia-Retamero, Rocio & Hoffrage, Ulrich, 2013. "Visual representation of statistical information improves diagnostic inferences in doctors and their patients," Social Science & Medicine, Elsevier, vol. 83(C), pages 27-33.
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