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Cure Me Even If It Kills Me: Preferences for Invasive Cancer Treatment

Author

Listed:
  • Angela Fagerlin

    (VA Health Services Research & Development Center of Excellence, VA Ann Arbor Healthcare System, Ann Arbor, MI, Division of General Internal Medicine, University of Michigan, Ann Arbor, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, MI, fagerlin@med.umich.edu)

  • Brian J. Zikmund-Fisher

    (VA Health Services Research & Development Center of Excellence, VA Ann Arbor Healthcare System, Ann Arbor, MI, Division of General Internal Medicine, University of Michigan, Ann Arbor, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, MI)

  • Peter A. Ubel

    (VA Health Services Research & Development Center of Excellence, VA Ann Arbor Healthcare System, Ann Arbor, MI, Division of General Internal Medicine, University of Michigan, Ann Arbor, Center for Behavioral and Decision Sciences in Medicine, Ann Arbor, MI, Department of Psychology, University of Michigan, Ann Arbor)

Abstract

Purpose . When making medical decisions, people often care not only about what happens but also about whether the outcome was a result of actions voluntarily taken or a result of inaction. This study assessed the proportion of people choosing nonoptimal treatments (treatments which reduced survival chances) when presented with hypothetical cancer scenarios which varied by outcome cause. Methods . A randomized survey experiment tested preferences for curing an existent cancer with 2 possible treatments (medication or surgery) and 2 effects of treatment (beneficial or harmful). Participants were 112 prospective jurors in the Philadelphia County Courthouse and 218 visitors to the Detroit-Wayne County Metropolitan Airport. Results . When treatment was beneficial, 27% of participants rejected medication, whereas only 10% rejected surgery with identical outcomes ( 2 = 5.87, P

Suggested Citation

  • Angela Fagerlin & Brian J. Zikmund-Fisher & Peter A. Ubel, 2005. "Cure Me Even If It Kills Me: Preferences for Invasive Cancer Treatment," Medical Decision Making, , vol. 25(6), pages 614-619, November.
  • Handle: RePEc:sae:medema:v:25:y:2005:i:6:p:614-619
    DOI: 10.1177/0272989X05282639
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    Citations

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    Cited by:

    1. Patricio S. Dalton & Sayantan Ghosal, 2011. "Behavioral Decisions and Policy," CESifo Economic Studies, CESifo Group, vol. 57(4), pages 560-580, December.
    2. Galizzi, Matteo M. & Miraldo, Marisa & Stavropoulou, Charitini & van der Pol, Marjon, 2016. "Doctor–patient differences in risk and time preferences: A field experiment," Journal of Health Economics, Elsevier, vol. 50(C), pages 171-182.
    3. Heather P. Lacey & Steven C. Lacey & Prerna Dayal & Caroline Forest & Dana Blasi, 2023. "Context Matters: Emotional Sensitivity to Probabilities and the Bias for Action in Cancer Treatment Decisions," Medical Decision Making, , vol. 43(4), pages 417-429, May.
    4. Duberstein, Paul R. & Hoerger, Michael & Norton, Sally A. & Mohile, Supriya & Dahlberg, Britt & Hyatt, Erica Goldblatt & Epstein, Ronald M. & Wittink, Marsha N., 2023. "The TRIBE model: How socioemotional processes fuel end-of-life treatment in the United States," Social Science & Medicine, Elsevier, vol. 317(C).

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