An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions
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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.
KeywordsMulticriteria decision-making Analytic Network Process (ANP) Analytic Hierarchy Process (AHP) Sensitivity and stability analysis Medical decision-making
We thank the two anonymous reviewers for their helpful comments and suggestions.
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