Risk-management decision-making data from a community-based sample of racially diverse women at high risk of breast cancer: rationale, methods, and sample characteristics of the Daughter Sister Mother Project survey.

BACKGROUND: To understand the dynamics that limit use of risk-management options by women at high risk of breast cancer, there is a critical need for research that focuses on patient perspectives. Prior research has left important gaps: exclusion of high-risk women not in risk-related clinical care, exclusion of non-white populations, and lack of attention to the decision-making processes that underlie risk-management choices. Our objective was to create a more inclusive dataset to facilitate research to address disparities related to decision making for breast cancer risk management. METHODS: The Daughter Sister Mother Project survey collects comprehensive information about the experiences of women at high risk of breast cancer. We collected novel measures of feelings about and reactions to cancer screenings; knowledge, barriers, and facilitators of risk-management options; beliefs related to cancer risk and risk management; and involvement with loved ones who had cancer. Eligible individuals were non-Hispanic white and non-Hispanic Black adult women who self-identified as having high risk of breast cancer and had no personal history of cancer. Between October 2018 and August 2019, 1053 respondents completed the online survey. Of these, 717 were confirmed through risk prediction modeling to have a lifetime breast cancer risk of ≥ 20%. Sociodemographic characteristics of this sample were compared to those of nationally representative samples of the US population: the 2019 Health Information National Trends Survey and the Pew Research Center report: Jewish Americans in 2020. RESULTS: The sample of 717 women at objectively high risk of breast cancer was largely (95%) recruited from non-clinical sources. Of these respondents, only 31% had seen a genetic counselor, 34% had had genetic testing specific to breast cancer risk, and 35% had seen at least one breast or cancer care specialist. The sample includes 35% Black respondents and 8% with Ashkenazi Jewish ancestry. Although encompassing a substantial range of ages, incomes, and education levels, respondents are overall somewhat younger, higher-income, and more educated than the US population as a whole. CONCLUSIONS: The DSM dataset offers comprehensive data from a community-based, diverse sample of women at high risk of breast cancer. The dataset includes substantial proportions of Black and Ashkenazi Jewish women and women who are not already in clinical care related to their breast cancer risk. This sample will facilitate future studies of risk-management behaviors among women who are and are not receiving high-risk care, and of variations in risk-management experiences across race and ethnicity.

Patient-driven decisions and perceptions of the 'safest possible choice': insights from patient-provider conversations about how some breast cancer patients choose contralateral prophylactic mastectomy.

OBJECTIVE: Observe patient-clinician communication to gain insight about the reasons underlying the choice of patients with unilateral breast cancer to undergo contralateral prophylactic mastectomy (CPM), despite lack of survival benefit, risk of harms, and cautions expressed by surgical guidelines and clinicians. METHODS & MEASURES: WORDS is a prospective study that explored patient-clinician communication and patient decision making. Participants recorded clinical visits through a downloadable mobile application. We analyzed 44 recordings from 22 patients: 9 who chose CPM, 8 who considered CPM but decided against it, and 5 who never considered CPM. We used abductive analysis combined with constructivist grounded theory methods. RESULTS: Decisions to undergo CPM are patient-driven and motivated by perceptions that CPM is the most aggressive, and therefore safest, treatment option available. These decisions are shaped not primarily by the content of conversations with clinicians, but by the history of cancer in patients' families, their own first-hand experiences with cancers among loved ones, fear for their children, and anxiety about cancer recurrence. CONCLUSION: The perception that CPM is the safest, most aggressive option strongly influences patients, despite scientific evidence to the contrary. Future efforts to address high CPM rates should focus on patient-driven decision making and cancer-related fears.