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Understanding High-Stakes Consumer Decisions: Mammography Adherence Following False-Alarm Test Results

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  • Barbara E. Kahn

    (The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, Pennsylvania 19104)

  • Mary Frances Luce

    (The Wharton School, University of Pennsylvania, 3730 Walnut Street, Philadelphia, Pennsylvania 19104)

Abstract

Consumers often have to decide whether to acquire information in high-stakes decision domains. We study women in mammography waiting rooms to test how a “false-alarm” result (i.e., an indication that a malady is present when a “more accurate” follow-up test reveals it is not) affects willingness to get retested. In Study 1 we show that, given a false-alarm result, life-threatening test consequences are associated with more disutility for future testing than when test consequences are less significant; this does not hold for normal test results. In Study 2 in the mammography context, we show that patients receiving a false-alarm result experienced more stress, were less likely to believe that a positive mammography result indicated cancer, and more likely to delay mammography than patients receiving normal results unless they were also told that they may be vulnerable to breast cancer in the future. We show that delays in planned adherence following a false-alarm result can be mitigated by an information intervention. Finally, we have preliminary evidence that a previous history of false-positive results can cause a consumer to both react more negatively to emotional stress and respond more positively to coping information.

Suggested Citation

  • Barbara E. Kahn & Mary Frances Luce, 2003. "Understanding High-Stakes Consumer Decisions: Mammography Adherence Following False-Alarm Test Results," Marketing Science, INFORMS, vol. 22(3), pages 393-410, April.
  • Handle: RePEc:inm:ormksc:v:22:y:2003:i:3:p:393-410
    DOI: 10.1287/mksc.22.3.393.17737
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    4. Carolina Werle, 2011. "The Determinants of Preventive Health Behavior: Literature Review and Research Perspectives," Working paper serie RMT - Grenoble Ecole de Management hal-00638266, HAL.
    5. Aaker, Jennifer L. & Lee, Angela Y., 2006. "Understanding Regulatory Fit," Research Papers 1910, Stanford University, Graduate School of Business.
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    14. Araña, Jorge E. & León, Carmelo J., 2009. "Understanding the use of non-compensatory decision rules in discrete choice experiments: The role of emotions," Ecological Economics, Elsevier, vol. 68(8-9), pages 2316-2326, June.
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