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Decision Aids

Author

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  • James G. Dolan
  • Olena A. Cherkasky
  • Nancy Chin
  • Peter J. Veazie

Abstract

Background. Conscious and unconscious biases can influence how people interpret new information and make decisions. Current standards for creating decision aids, however, do not address this issue. Method. Using a 2×2 factorial design, we developed surveys that contained a decision scenario (involving a choice between aspirin or a statin drug to lower risk of heart attack) and a decision aid. Each aid presented identical information about reduction in heart attack risk and likelihood of a major side effect. They differed in whether the options were labeled and the amount of decisional guidance: information only (a balance sheet) versus information plus values clarification (a multicriteria decision analysis). We sent the surveys to members of 2 Internet survey panels. After using the decision aid, participants indicated their preferred medication. Those using a multicriteria decision aid also judged differences in the comparative outcome data provided for the 2 options and the relative importance of achieving benefits versus avoiding risks in making the decision. Results. The study sample size was 536. Participants using decision aids with unlabeled options were more likely to choose a statin: 56% versus 25% ( P

Suggested Citation

  • James G. Dolan & Olena A. Cherkasky & Nancy Chin & Peter J. Veazie, 2015. "Decision Aids," Medical Decision Making, , vol. 35(8), pages 979-986, November.
    • Handle: RePEc:sae:medema:v:35:y:2015:i:8:p:979-986
    DOI: 10.1177/0272989X15598532
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    References listed on IDEAS

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    1. Saaty, Thomas L., 1990. "How to make a decision: The analytic hierarchy process," European Journal of Operational Research, Elsevier, vol. 48(1), pages 9-26, September.
    2. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
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