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Medical Maximizing-Minimizing Preferences Predict Responses to Information about Prostate-Specific Antigen Screening

Author

Listed:
  • Laura D. Scherer

    (Department of Psychological Sciences, University of Missouri, Columbia MO, USA)

  • Jeffrey T. Kullgren

    (VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
    Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
    Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, USA
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA)

  • Tanner Caverly

    (VA Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
    Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
    Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, USA
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA)

  • Aaron M. Scherer

    (Division of General Internal Medicine, University of Iowa, Iowa City, IA, USA)

  • Victoria A. Shaffer

    (Department of Psychological Sciences, University of Missouri, Columbia MO, USA)

  • Angela Fagerlin

    (VA Salt Lake City Center for Informatics Decision Enhancement and Surveillance (IDEAS), Salt Lake City, UT, USA
    Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA)

  • Brian J. Zikmund-Fisher

    (Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
    Center for Bioethics and Social Sciences in Medicine, University of Michigan, Ann Arbor, MI, USA
    Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
    Department of Health Behavior and Health Education, University of Michigan, Ann Arbor, MI, USA)

Abstract

Purpose: The recently developed Medical Maximizer-Minimizer Scale (MMS) assesses individual differences in preferences for active v. passive medical treatment. We hypothesized that men’s maximizing-minimizing preferences might have relevance in the case of prostate-specific antigen (PSA) screening, since there is considerable variability in men’s preference for being screened even among men who are informed that harm is more likely than benefit. The current research examined whether MMS preferences predict how men respond to didactic information and narrative stories about PSA screening. Design: US men 40+ years old ( N = 1208) participated in an online survey. Men viewed information about PSA screening in 3 phases and provided their preference for screening after each phase. Phase 1 described what PSA screening is. Phase 2 added didactic information about screening risks and benefits. Phase 3 added narrative stories; men were randomized to receive stories about 1) physical harm, 2) emotional harm, 3) overdiagnosis, or 4) all 3 stories. Participants also completed the validated MMS. Results: After receiving basic information, 76.8% of men wanted PSA screening. After receiving information about risks and benefits, 54.8% wanted screening (a significant reduction, P

Suggested Citation

  • Laura D. Scherer & Jeffrey T. Kullgren & Tanner Caverly & Aaron M. Scherer & Victoria A. Shaffer & Angela Fagerlin & Brian J. Zikmund-Fisher, 2018. "Medical Maximizing-Minimizing Preferences Predict Responses to Information about Prostate-Specific Antigen Screening," Medical Decision Making, , vol. 38(6), pages 708-718, August.
    • Handle: RePEc:sae:medema:v:38:y:2018:i:6:p:708-718
    DOI: 10.1177/0272989X18782199
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    References listed on IDEAS

    as
    1. Winterbottom, Anna & Bekker, Hilary L. & Conner, Mark & Mooney, Andrew, 2008. "Does narrative information bias individual's decision making? A systematic review," Social Science & Medicine, Elsevier, vol. 67(12), pages 2079-2088, December.
    2. Holly O. Witteman & Laura D. Scherer & Teresa Gavaruzzi & Arwen H. Pieterse & Andrea Fuhrel-Forbis & Selma Chipenda Dansokho & Nicole Exe & Valerie C. Kahn & Deb Feldman-Stewart & Nananda F. Col & Ale, 2016. "Design Features of Explicit Values Clarification Methods," Medical Decision Making, , vol. 36(4), pages 453-471, May.
    3. Holly O. Witteman & Teresa Gavaruzzi & Laura D. Scherer & Arwen H. Pieterse & Andrea Fuhrel-Forbis & Selma Chipenda Dansokho & Nicole Exe & Valerie C. Kahn & Deb Feldman-Stewart & Nananda F. Col & Ale, 2016. "Effects of Design Features of Explicit Values Clarification Methods," Medical Decision Making, , vol. 36(6), pages 760-776, August.
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    Cited by:

    1. Victoria A. Shaffer & Suzanne Brodney & Teresa Gavaruzzi & Yaara Zisman-Ilani & Sarah Munro & Sian K. Smith & Elizabeth Thomas & Katherine D. Valentine & Hilary L. Bekker, 2021. "Do Personal Stories Make Patient Decision Aids More Effective? An Update from the International Patient Decision Aids Standards," Medical Decision Making, , vol. 41(7), pages 897-906, October.
    2. K. D. Valentine & Pete Wegier & Victoria A. Shaffer & Laura D. Scherer, 2022. "The Impact of 4 Risk Communication Interventions on Cancer Screening Preferences and Knowledge," Medical Decision Making, , vol. 42(3), pages 387-397, April.

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