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Communicating About Xenotransplantation: Models and Scenarios

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  • Wändi Bruine De Bruin
  • Ümit Güvenç
  • Baruch Fischhoff
  • Christopher M. Armstrong
  • Denise Caruso

Abstract

Xenotransplantation entails using organs from genetically modified animals as a way to solve the shortage of human organs for transplantation. As with other novel technologies, if xenotransplantation is to be judged fairly, proponents must explain its complex, uncertain, and unfamiliar risks and benefits. Xenotransplantation's risks include the possibility of a recombinant virus infecting human transplant recipients, potentially causing an epidemic of an unfamiliar disease. Using materials vetted by scientific experts, we communicated the variables and relationships determining this risk in three formally equivalent formats: (a) a graphic model, (b) scenarios structured by the graphic model, and (c) both the model and the scenarios. Participants were randomly assigned to receiving one set of materials. They rated them as equally clear and studied them equally long, suggesting similar ease of cognitive processing. Compared to participants receiving the scenarios, those who received the graphic model better identified causes and effects of the risk, and saw less risk of xenotransplantation. Participants who received both the model and the scenarios generally showed intermediate responses. The study demonstrates a general procedure for developing and evaluating formally equivalent graphic and scenario communications regarding highly uncertain risks. In this application to xenotransplantation, presenting a graphic representation improved people's understanding of the risk.

Suggested Citation

  • Wändi Bruine De Bruin & Ümit Güvenç & Baruch Fischhoff & Christopher M. Armstrong & Denise Caruso, 2009. "Communicating About Xenotransplantation: Models and Scenarios," Risk Analysis, John Wiley & Sons, vol. 29(8), pages 1105-1115, August.
  • Handle: RePEc:wly:riskan:v:29:y:2009:i:8:p:1105-1115
    DOI: 10.1111/j.1539-6924.2009.01241.x
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    References listed on IDEAS

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    1. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    2. Baruch Fischhoff & Wändi Bruin & Ümit Güvenç & Denise Caruso & Larry Brilliant, 2006. "Analyzing disaster risks and plans: An avian flu example," Journal of Risk and Uncertainty, Springer, vol. 33(1), pages 131-149, September.
    3. Andrea D. Gurmankin & Jonathan Baron & Katrina Armstrong, 2004. "The Effect of Numerical Statements of Risk on Trust and Comfort with Hypothetical Physician Risk Communication," Medical Decision Making, , vol. 24(3), pages 265-271, June.
    4. Michael Maharik & Baruch Fischhoff, 1993. "Risk Knowledge and Risk Attitudes Regarding Nuclear Energy Sources in Space," Risk Analysis, John Wiley & Sons, vol. 13(3), pages 345-353, June.
    5. G. Kuder & M. Richardson, 1937. "The theory of the estimation of test reliability," Psychometrika, Springer;The Psychometric Society, vol. 2(3), pages 151-160, September.
    6. Ronald A. Howard & James E. Matheson, 2005. "Influence Diagram Retrospective," Decision Analysis, INFORMS, vol. 2(3), pages 144-147, September.
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    Cited by:

    1. Theresa A. K. Knoblauch & Michael Stauffacher & Evelina Trutnevyte, 2018. "Communicating Low‐Probability High‐Consequence Risk, Uncertainty and Expert Confidence: Induced Seismicity of Deep Geothermal Energy and Shale Gas," Risk Analysis, John Wiley & Sons, vol. 38(4), pages 694-709, April.
    2. Nick Boase & Mathew White & William Gaze & Clare Redshaw, 2017. "Evaluating the Mental Models Approach to Developing a Risk Communication: A Scoping Review of the Evidence," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2132-2149, November.
    3. Terry Walshe & Mark Burgman, 2010. "A Framework for Assessing and Managing Risks Posed by Emerging Diseases," Risk Analysis, John Wiley & Sons, vol. 30(2), pages 236-249, February.

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