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“It's important to me”: A qualitative analysis on shared decision‐making and patient preferences in older adults with early‐stage breast cancer
Author(s) -
Lawhon Valerie M.,
England Rebecca E.,
Wallace Audrey S.,
Williams Courtney P.,
Williams Beverly R.,
Niranjan Soumya J.,
Ingram Stacey A.,
Rocque Gabrielle B.
Publication year - 2021
Publication title -
psycho‐oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.41
H-Index - 137
eISSN - 1099-1611
pISSN - 1057-9249
DOI - 10.1002/pon.5545
Subject(s) - preference , selection (genetic algorithm) , breast cancer , qualitative research , patient participation , scale (ratio) , psychology , medicine , family medicine , cancer , medline , computer science , sociology , social science , physics , quantum mechanics , artificial intelligence , political science , law , economics , microeconomics
Objective Shared decision‐making (SDM) occurs when physicians and patients jointly select treatment that aligns with patient care goals. Incorporating patient preferences into the decision‐making process is integral to successful decision‐making. This study explores factors influencing treatment selection in older patients with early‐stage breast cancer (EBC). Methods This qualitative study included women age ≥65 years with EBC. To understand role preferences, patients completed the Control Preferences Scale. Semi‐structured interviews were conducted to explore patients' treatment selection rationale. Interview transcripts were analyzed using a constant comparative method identifying major themes related to treatment selection. Results Of 33 patients, the majority (48%) desired shared responsibility in treatment decision‐making. Interviews revealed that EBC treatment incorporated three domains: Intrinsic and extrinsic influences, clinical characteristics, and patient values. Patients considered 19 treatment selection themes, the most prioritized including physician trust and physical side effects. Conclusions Because preferences and approach to treatment selection varied widely in this sample of older, EBC patients, more research is needed to determine best practices for preference incorporation to optimize SDM at the time of treatment decisions.