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Feasibility of Measuring Preferences for Chemotherapy Among Early-Stage Breast Cancer Survivors Using a Direct Rank Ordering Multicriteria Decision Analysis Versus a Time Trade-Off
Author(s) -
Laura Panattoni,
Charles E. Phelps,
Tracy A. Lieu,
Stacey Alexeeff,
Suzanne C. O’Neill,
Jeanne S. Mandelblatt,
Scott D. Ramsey
Publication year - 2020
Publication title -
patient
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.269
H-Index - 33
eISSN - 1178-1661
pISSN - 1178-1653
DOI - 10.1007/s40271-020-00423-w
Subject(s) - medicine , odds ratio , multiple criteria decision analysis , breast cancer , confidence interval , population , oncology , cancer , environmental health , operations research , mathematics
Chemotherapy is increasingly a preference-based choice among women diagnosed with early-stage breast cancer. Multicriteria decision analysis (MCDA) is a promising but underutilized method to facilitate shared decision making. We explored the feasibility of conducting an MCDA using direct rank ordering versus a time trade-off (TTO) to assess chemotherapy choice in a large population-based sample.

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