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An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions

Author

Listed:
  • M. Gabriela Sava

    (Clemson University)

  • Luis G. Vargas

    (University of Pittsburgh)

  • Jerrold H. May

    (University of Pittsburgh)

  • James G. Dolan

    (University of Rochester Medical Center)

Abstract

Patients are faced with multiple alternatives when selecting the preferred method for colorectal cancer screening, and there are multiple criteria to be considered in the decision-making process. We model patients’ choices using a multicriteria decision model, specifically an Analytic Hierarchy Process-based model, and propose a new approach for characterizing the idiosyncratic preference regions for individual patients. The new approach involves the development of a personalized sensitivity and stability analysis of preferences that provides pertinent insights about the changes that occur in a patient’s preferences, as he/she learns additional relevant medical information. We show how the insights derived from the sensitivity and stability of patients’ preferences could be used by a healthcare provider within the medical decision-making process.

Suggested Citation

  • M. Gabriela Sava & Luis G. Vargas & Jerrold H. May & James G. Dolan, 2020. "An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions," Annals of Operations Research, Springer, vol. 293(2), pages 863-901, October.
  • Handle: RePEc:spr:annopr:v:293:y:2020:i:2:d:10.1007_s10479-018-3109-3
    DOI: 10.1007/s10479-018-3109-3
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    References listed on IDEAS

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    1. James G. Dolan & Emily Boohaker & Jeroan Allison & Thomas F. Imperiale, 2014. "Can Streamlined Multicriteria Decision Analysis Be Used to Implement Shared Decision Making for Colorectal Cancer Screening?," Medical Decision Making, , vol. 34(6), pages 746-755, August.
    2. May, Jerrold H. & Shang, Jennifer & Tjader, Youxu Cai & Vargas, Luis G., 2013. "A new methodology for sensitivity and stability analysis of analytic network models," European Journal of Operational Research, Elsevier, vol. 224(1), pages 180-188.
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    6. Liberatore, Matthew J. & Nydick, Robert L., 2008. "The analytic hierarchy process in medical and health care decision making: A literature review," European Journal of Operational Research, Elsevier, vol. 189(1), pages 194-207, August.
    7. James G. Dolan & Susan Frisina, 2002. "Randomized Controlled Trial of a Patient Decision Aid for Colorectal Cancer Screening," Medical Decision Making, , vol. 22(2), pages 125-139, April.
    8. Corrente, Salvatore & Figueira, José Rui & Greco, Salvatore, 2014. "The SMAA-PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 239(2), pages 514-522.
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    Cited by:

    1. Leon, Ramona Diana, 2023. "Employees’ reskilling and upskilling for industry 5.0: Selecting the best professional development programmes," Technology in Society, Elsevier, vol. 75(C).

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