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Mental Models in Risk Assessment: Informing People About Drugs

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  • Helmut Jungermann
  • Holger Schütz
  • Manfred Thüring

Abstract

One way to communicate about the risks of drugs is through the use of package inserts. The problems associated with this medium of informing patients have been investigated by several researchers who found that people require information about drugs they are using, including extensive risk information, and that they are willing to take this information into account in their usage of drugs. But empirical results also show that people easily misinterpret the information given. A conceptual framework is proposed that might be used for better understanding the cognitive processes involved in such a type of risk assessment and communication. It is based on the idea that people develop, through experience, a mental model of how a drug works, which effects it might produce, that contraindications have to be considered, etc. This mental model is “run” when a specific package insert has been read and a specific question arises such as, for example, whether certain symptoms can be explained as normal or whether they require special attention and action. We argue that the mental model approach offers a useful perspective for examining how people understand package inserts, and consequently for improving their content and design. The approach promises to be equally useful for other aspects of risk analysis that are dependent upon human judgment and decision making, e.g., threat diagnosis and human reliability analysis.

Suggested Citation

  • Helmut Jungermann & Holger Schütz & Manfred Thüring, 1988. "Mental Models in Risk Assessment: Informing People About Drugs," Risk Analysis, John Wiley & Sons, vol. 8(1), pages 147-155, March.
  • Handle: RePEc:wly:riskan:v:8:y:1988:i:1:p:147-155
    DOI: 10.1111/j.1539-6924.1988.tb01161.x
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    Cited by:

    1. Patrick Cox & Jörg Niewöhner & Nick Pidgeon & Simon Gerrard & Baruch Fischhoff & Donna Riley, 2003. "The Use of Mental Models in Chemical Risk Protection: Developing a Generic Workplace Methodology," Risk Analysis, John Wiley & Sons, vol. 23(2), pages 311-324, April.
    2. Michael Maharik & Baruch Fischhoff, 1992. "The Risks of Using Nuclear Energy Sources in Space: Some Lay Activists’Perceptions," Risk Analysis, John Wiley & Sons, vol. 12(3), pages 383-392, September.
    3. Manika, Danae & Dickert, Stephan & Golden, Linda L., 2021. "Check (it) yourself before you wreck yourself: The benefits of online health information exposure on risk perception and intentions to protect oneself," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    4. Catherine E. LePrevost & Margaret R. Blanchard & W. Gregory Cope, 2011. "The Pesticide Risk Beliefs Inventory: A Quantitative Instrument for the Assessment of Beliefs about Pesticide Risks," IJERPH, MDPI, vol. 8(6), pages 1-13, June.
    5. Jörg Niewöhner & Patrick Cox & Simon Gerrard & Nick Pidgeon, 2004. "Evaluating the Efficacy of a Mental Models Approach for Improving Occupational Chemical Risk Protection," Risk Analysis, John Wiley & Sons, vol. 24(2), pages 349-361, April.
    6. Donald G. MacGregor & Raymond Fleming, 1996. "Risk Perception and Symptom Reporting," Risk Analysis, John Wiley & Sons, vol. 16(6), pages 773-783, December.
    7. Choicharoon, Aritad & Hodgett, Richard & Summers, Barbara & Siraj, Sajid, 2024. "Hit or miss: A decision support system framework for signing new musical talent," European Journal of Operational Research, Elsevier, vol. 312(1), pages 324-337.

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