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The Application of the Heuristic-Systematic Processing Model to Treatment Decision Making about Prostate Cancer

Author

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  • Suzanne K. Steginga

    (Queensland Cancer Fund and the School of Applied Psychology, Griffith University, Queensland, Australia)

  • Stefano Occhipinti

    (School of Applied Psychology, Griffith University, Queensland, Australia)

Abstract

The study investigated the utility of the Heuristic-Systematic Processing Model as a framework for the investigation of patient decision making. A total of 111 men recently diagnosed with localized prostate cancer were assessed using Verbal Protocol Analysis and self-report measures. Study variables included men’s use of nonsystematic and systematic information processing, desire for involvement in decision making, and the individual differences of health locus of control, tolerance of ambiguity, and decision-related uncertainty. Most men (68%) preferred that decision making be shared equally between them and their doctor. Men’s use of the expert opinion heuristic was related to men’s verbal reports of decisional uncertainty and having a positive orientation to their doctor and medical care; a desire for greater involvement in decision making was predicted by a high internal locus of health control. Trends were observed for systematic information processing to increase when the heuristic strategy used was negatively affect laden and when men were uncertain about the probabilities for cure and side effects. There was a trend for decreased systematic processing when the expert opinion heuristic was used. Findings were consistent with the Heuristic-Systematic Processing Model and suggest that this model has utility for future research in applied decision making about health.

Suggested Citation

  • Suzanne K. Steginga & Stefano Occhipinti, 2004. "The Application of the Heuristic-Systematic Processing Model to Treatment Decision Making about Prostate Cancer," Medical Decision Making, , vol. 24(6), pages 573-583, November.
    • Handle: RePEc:sae:medema:v:24:y:2004:i:6:p:573-583
    DOI: 10.1177/0272989X04271044
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    References listed on IDEAS

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    1. Hack, Thomas F. & Degner, Lesley F. & Dyck, Dennis G., 1994. "Relationship between preferences for decisional control and illness information among women with breast cancer: A quantitative and qualitative analysis," Social Science & Medicine, Elsevier, vol. 39(2), pages 279-289, July.
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    Cited by:

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    2. Hazen, Benjamin T. & Overstreet, Robert E. & Jones-Farmer, L. Allison & Field, Hubert S., 2012. "The role of ambiguity tolerance in consumer perception of remanufactured products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 781-790.
    3. Durand, Robert B. & Limkriangkrai, Manapon & Fung, Lucia, 2014. "The behavioral basis of sell-side analysts’ herding," Journal of Contemporary Accounting and Economics, Elsevier, vol. 10(3), pages 176-190.
    4. Camacho, N.M.A. & de Jong, M.G. & Stremersch, S., 2014. "The Effect of Customer Empowerment on Adherence to Expert Advice," ERIM Report Series Research in Management ERS-2014-005-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Craig W. Trumbo & Lori Peek & Michelle A. Meyer & Holly L. Marlatt & Eve Gruntfest & Brian D. McNoldy & Wayne H. Schubert, 2016. "A Cognitive‐Affective Scale for Hurricane Risk Perception," Risk Analysis, John Wiley & Sons, vol. 36(12), pages 2233-2246, December.
    6. Huai-Chun Lo & Chia-Ying Chan, 2023. "Mean reverting in stock ratings distribution," Review of Quantitative Finance and Accounting, Springer, vol. 60(3), pages 1065-1097, April.
    7. Camacho, Nuno & De Jong, Martijn & Stremersch, Stefan, 2014. "The effect of customer empowerment on adherence to expert advice," International Journal of Research in Marketing, Elsevier, vol. 31(3), pages 293-308.

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