Abstract

228 Background: Shared decision-making (SDM) occurs when informed patients partner with their oncologists to incorporate personal preferences into treatment. Even before engaging with an oncologist about treatment options, patients may have personal experiences or knowledge of other’s experiences with breast cancer that frame their decision-making. This study sought to understand how prior experiences and knowledge drive preferences in early stage breast cancer treatment approaches. Methods: This qualitative study included early stage breast cancer (BC) patients at an academic medical center in the Deep South. Women age ≥18 with an AJCC stage I-III BC diagnosis were invited to complete semi-structured interviews with a trained interviewer. Interviews were audio-recorded, transcribed, and analyzed by two independent coders utilizing a constant comparative method from an a priori conceptual model based on the Ottawa Framework. Major themes and exemplary quotes related to decision-making preferences were extracted. Results: Women (n = 33) interviewed were an average age of 74 (4.2 SD), and 19% of participants were African American. Many women were given the option to omit treatments, such as chemotherapy or radiation therapy, based on hormone receptor status and axillary node involvement. Major themes related to a desire for more treatment were past experiences with family members having cancer or an impression that additional treatment would be more effective. For women that opted out of treatments, prior knowledge of potential physical side effects from friends, family, and other cancer survivors were cited as a major deterrent. Perceptions of low recurrence risk also influenced desire to forgo treatments. Conclusions: Women presenting with early stage BC had varied healthcare experiences, which resulted in preconceived ideas about receiving breast cancer treatments. Consideration of these themes may aid physicians’ ability to address individual concerns to further personalize patient care, thus enhancing the patient-physician partnership. These findings will ultimately assist in improving patient engagement in SDM.

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