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Rationality in medical treatment decisions: is there a sunk-cost effect?

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  • Bornstein, Brian H.
  • Christine Emler, A.
  • Chapman, Gretchen B.

Abstract

Objective: To assess residents' propensity to display the sunk-cost effect, an irrational decision-making bias, in medical treatment decisions; and to compare residents' and undergraduates' susceptibility to the bias in non-medical, everyday behaviors. Design: Cross-sectional, in-person survey. Setting: Louisiana State University, two locations: Medical Center-Baton Rouge and Main Campus-Psychology Department. Participants: Internal medicine and family practice residents (N=36, Mdn age=27) and college undergraduates (N=40, Mdn age=20). Measurements and main results: Residents evaluated medical and non-medical situations that varied the amount of previous investment and whether the present decision maker was the same or different from the person who had made the initial investment. They rated reasons both for continuing the initial decision (e.g., stay with the medication already in use) and for switching to a new alternative (e.g., a different medication). There were two main findings: First, the residents' ratings of whether to continue or switch medical treatments were not influenced by the amount of the initial investment (p's>0.05). Second, residents' reasoning was more normative in medical than in non-medical situations, in which it paralleled that of undergraduates (p's

Suggested Citation

  • Bornstein, Brian H. & Christine Emler, A. & Chapman, Gretchen B., 1999. "Rationality in medical treatment decisions: is there a sunk-cost effect?," Social Science & Medicine, Elsevier, vol. 49(2), pages 215-222, July.
  • Handle: RePEc:eee:socmed:v:49:y:1999:i:2:p:215-222
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    Cited by:

    1. J. S. Blumenthal-Barby & Heather Krieger, 2015. "Cognitive Biases and Heuristics in Medical Decision Making," Medical Decision Making, , vol. 35(4), pages 539-557, May.
    2. Braverman, Jennifer A. & Blumenthal-Barby, J.S., 2012. "Assessment of the sunk-cost effect in clinical decision-making," Social Science & Medicine, Elsevier, vol. 75(1), pages 186-192.
    3. Nuno Camacho & Bas Donkers & Stefan Stremersch, 2011. "Predictably Non-Bayesian: Quantifying Salience Effects in Physician Learning About Drug Quality," Marketing Science, INFORMS, vol. 30(2), pages 305-320, 03-04.
    4. Richet, Jean-Loup & Currás-Móstoles, Rosa & Martín, José María Martín, 2024. "Complexity in online collective assessments: Implications for the wisdom of the crowd," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

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