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Lay and Expert Interpretations of Cancer Cluster Evidence

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  • Andrea Gurmankin Levy
  • Neil Weinstein
  • Erin Kidney
  • Suzanne Scheld
  • Peter Guarnaccia

Abstract

Conflict frequently occurs between community members and environmental/public health officials when an unusual number of cancer cases is reported. This conflict may result from different ways in which laypeople and experts interpret facts to judge whether there is an environmental cause of the cancer cases, but little is known about this issue. Volunteer laypeople (N= 551) and epidemiologists (N= 105) read a hypothetical scenario about cases of cancer on one neighborhood block. Participants judged whether each of the 23 facts about the situation made it “much more likely” to “much less likely” that something in town was causing the cancer cases (7‐point scale). The facts were designed to be “alarming,”“reassuring,” or “neutral” (i.e., according to epidemiological principles, should increase, decrease, or have no impact on the likelihood of an environmental cause). The laypeople were alarmed by most of the facts (mean response significantly greater than the scale midpoint), including all of the neutral facts and over half of the reassuring facts. The experts were more balanced: they were alarmed by none of the neutral or reassuring facts. Their responses showed significantly less alarm than the laypeople's responses (p

Suggested Citation

  • Andrea Gurmankin Levy & Neil Weinstein & Erin Kidney & Suzanne Scheld & Peter Guarnaccia, 2008. "Lay and Expert Interpretations of Cancer Cluster Evidence," Risk Analysis, John Wiley & Sons, vol. 28(6), pages 1531-1538, December.
  • Handle: RePEc:wly:riskan:v:28:y:2008:i:6:p:1531-1538
    DOI: 10.1111/j.1539-6924.2008.01110.x
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    References listed on IDEAS

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    1. Paul Slovic & Torbjörn Malmfors & Daniel Krewski & C. K. Mertz & Nancy Neil & Sheryl Bartlett, 1995. "Intuitive Toxicology. II. Expert and Lay Judgments of Chemical Risks in Canada," Risk Analysis, John Wiley & Sons, vol. 15(6), pages 661-675, December.
    2. Trumbo, C.W., 2000. "Public requests for cancer cluster investigations: A survey of state health departments," American Journal of Public Health, American Public Health Association, vol. 90(8), pages 1300-1302.
    3. Lucia Savadori & Stefania Savio & Eraldo Nicotra & Rino Rumiati & Melissa Finucane & Paul Slovic, 2004. "Expert and Public Perception of Risk from Biotechnology," Risk Analysis, John Wiley & Sons, vol. 24(5), pages 1289-1299, October.
    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. James Flynn & Paul Slovic & C. K. Mertz, 1993. "Decidedly Different: Expert and Public Views of Risks from a Radioactive Waste Repository," Risk Analysis, John Wiley & Sons, vol. 13(6), pages 643-648, December.
    6. Michael Siegrist & George T. Cvetkovich & Heinz Gutscher, 2001. "Shared Values, Social Trust, and the Perception of Geographic Cancer Clusters," Risk Analysis, John Wiley & Sons, vol. 21(6), pages 1047-1054, December.
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