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Who proficts from visual aids: Overcoming challenges in people's understanding of risks

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  • Garcia-Retamero, Rocio
  • Galesic, Mirta

Abstract

Many people have difficulties grasping numerical concepts that are prerequisites for understanding treatment risk reduction. Visual aids have been proposed as a promising method for enhancing comprehension. In a survey of probabilistic, nationally representative samples in two different countries (United States and Germany), we compared the effectiveness of adding different types of visual aids (icon arrays and bar graphs representing either affected individuals only or the entire population at risk) to the numerical information in either an absolute or a relative risk reduction format. We also analyzed whether people's numeracy and graphical literacy skills affected the efficacy of the visual aids. Our results showed large improvements in accuracy both when icon arrays and when bar graphs were added to numerical information. Highest increases were achieved when the visual aids depicted the entire population at risk. Importantly, visual aids were most useful for the participants who had low numeracy but relatively high graphical literacy skills. Building on previous research showing that problems with understanding numerical information often do not reside in people's minds, but in the representation of the problem, our results show that visual aids help to modify incorrect expectations about treatment risk reduction. Our results have important implications for medical practice.

Suggested Citation

  • Garcia-Retamero, Rocio & Galesic, Mirta, 2010. "Who proficts from visual aids: Overcoming challenges in people's understanding of risks," Social Science & Medicine, Elsevier, vol. 70(7), pages 1019-1025, April.
  • Handle: RePEc:eee:socmed:v:70:y:2010:i:7:p:1019-1025
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    1. Deb Feldman-Stewart & Nancy Kocovski & Beth A. McConnell & Michael D. Brundage & William J. Mackillop, 2000. "Perception of Quantitative Information for Treatment Decisions," Medical Decision Making, , vol. 20(2), pages 228-238, April.
    2. William G. Jacoby, 2006. "Value Choices and American Public Opinion," American Journal of Political Science, John Wiley & Sons, vol. 50(3), pages 706-723, July.
    3. Stone, Eric R. & Sieck, Winston R. & Bull, Benita E. & Frank Yates, J. & Parks, Stephanie C. & Rush, Carolyn J., 2003. "Foreground:background salience: Explaining the effects of graphical displays on risk avoidance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 90(1), pages 19-36, January.
    4. Isaac M. Lipkus & Greg Samsa & Barbara K. Rimer, 2001. "General Performance on a Numeracy Scale among Highly Educated Samples," Medical Decision Making, , vol. 21(1), pages 37-44, February.
    5. Marilyn M. Schapira & Ann B. Nattinger & Colleen A. McHorney, 2001. "Frequency or Probability? A Qualitative Study of Risk Communication Formats Used in Health Care," Medical Decision Making, , vol. 21(6), pages 459-467, December.
    6. Isaac M. Lipkus, 2007. "Numeric, Verbal, and Visual Formats of Conveying Health Risks: Suggested Best Practices and Future Recommendations," Medical Decision Making, , vol. 27(5), pages 696-713, September.
    7. Angela Fagerlin & Catharine Wang & Peter A. Ubel, 2005. "Reducing the Influence of Anecdotal Reasoning on People’s Health Care Decisions: Is a Picture Worth a Thousand Statistics?," Medical Decision Making, , vol. 25(4), pages 398-405, July.
    8. Elke U. Weber & Christopher Hsee, 1998. "Cross-Cultural Differences in Risk Perception, but Cross-Cultural Similarities in Attitudes Towards Perceived Risk," Management Science, INFORMS, vol. 44(9), pages 1205-1217, September.
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