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 | Zendy

Laura Panattoni | Zendy; Charles E. Phelps | Zendy; Tracy A. Lieu | Zendy; Stacey E. Alexeeff | Zendy; Suzanne C. O’Neill | Zendy; Jeanne S. Mandelblatt | Zendy; Scott D. Ramsey | Zendy

Open Access

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 E. 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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