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

Sava, M. Gabriela ; Vargas, Luis G. ; May, Jerrold H. ; Dolan, James G.

Annals of operations research, 2020-10, Vol.293 (2), p.863-901 [Periódico revisado por pares]

New York: Springer US

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Título:
An analysis of the sensitivity and stability of patients’ preferences can lead to more appropriate medical decisions
Autor: Sava, M. Gabriela ; Vargas, Luis G. ; May, Jerrold H. ; Dolan, James G.
Assuntos: Analysis ; Analytic hierarchy process ; Business and Management ; Cancer patients ; Colorectal cancer ; Combinatorics ; Decision analysis ; Decision making ; Decision making models ; Diagnosis ; Medical examination ; Medical screening ; Multiple criterion ; Operations research ; Operations Research/Decision Theory ; Patients ; Personal preferences (Social sciences) ; S.i.: Mcdm 2017 ; Sensitivity analysis ; Stability analysis ; Theory of Computation
É parte de: Annals of operations research, 2020-10, Vol.293 (2), p.863-901
Descrição: 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.
Editor: New York: Springer US
Idioma: Inglês

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

Sava, M. Gabriela ; Vargas, Luis G. ; May, Jerrold H. ; Dolan, James G.

New York: Springer US

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