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Background: Literature on decision making about breast cancer prevention focuses on individual perceptions and attitudes that predict chemoprevention use, rather than the process by which women decide whether to take risk-reducing medications. This secondary analysis aimed to understand how women's perceptions of breast cancer risk and locus of control influence their decision making., Methods: Women were accrued as part of the NRG Oncology/National Surgical Adjuvant Breast and Bowel Project Decision-Making Project 1, a study aimed at understanding contributors to chemoprevention uptake. Thirty women participated in qualitative in-depth interviews after being counseled about chemoprevention. Deductive codes grouped women based on dimensions of risk perception and locus of control. We used a constant comparative method to make connections among inductive themes focused on decision making, deductive codes for perceived risk and perceived locus of control, and the influence of explanatory models within and across participants., Results: Participants were predominantly non-Hispanic white (63%), with an average age of 50.9 years. Decision making varied across groups: the high-perceived risk/high-perceived control group used "social evidence" to model the behaviors of others. High-perceived risk/low-perceived control women made decisions based on beliefs about treatment, rooted in the experiences of social contacts. The low-perceived risk/low-perceived control group interpreted signs of risk as part of the normal continuum of bodily changes in comparison to others. Low-perceived risk/high-perceived control women focused on maintaining a current healthy trajectory., Conclusion: "Social evidence" plays an important role in the decision-making process that is distinct from emotional aspects. Attending to patients' perceptions of risk and control in conjunction with social context is key to caring for patients at high risk in a way that is evidence based and sensitive to patient preferences.

Objectives: The presentation of risks and benefits in clinical practice is common particularly in situations in which treatment recommendations involve trade-offs. The treatment of breast cancer risk with selective estrogen receptor modulators (SERMs) is such a decision. We investigated the influence of health care provider (HCP) counseling on women's decision-making., Methods: Thirty breast cancer risk counseling sessions were recorded from April 2012-August 2013 at a comprehensive cancer center and at a safety-net, community hospital in the US. Participating women and HCPs were interviewed. A cross-case synthesis was used for analysis., Results: Of 30 participants 21 received a SERM-recommendation, 11 decided to take SERMs. Counseling impacted decision-making, but did not determine it. Three categories emerged: 1.) ability to change the decision anytime, 2.) perceptions on medications, and 3.) proximity of cancer., Conclusion: Decision-making under conditions of a risk diagnosis such as increased breast cancer risk is a continuous process in which risk information is transformed into practical and experiential considerations., Practice Implications: Individuals' health care decision-making is only marginally dependent on the interactions in the clinic. Accepting patients' experiences and beliefs in their own right and letting them guide the discussion may be important for a satisfying decision-making process., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Current breast cancer screening guidelines promote the use of shared decision making for women younger than 50 years of age, yet their effect on mammography utilization is largely unknown. This study aimed to examine the effect of two elements of shared decision making on the use of mammogram screening: patient-perceived choice and patient-provider communication. Data were obtained from HINTS 4, a nationally representative survey of the U.S. population, administered from 2011 to 2013. Choice was measured with the question "Has a doctor ever told you that you could choose whether or not to have a mammogram?" Communication was measured using a 7-item scale (range: 7-28; higher scores denote better communication). Binary logistic regression models assessed the effect of patient choice and communication on ever having a mammogram using weighted sample data. The sample included 1,085 women younger than 50 years of age: 31% of women perceived having a choice to undergo mammography. The mean patient-provider communication score was 22.8. Those who thought they were given a choice regarding mammography were more likely to have a mammogram relative to those who did not think a choice was given by the provider. Patient-provider communication had no significant association with mammography utilization. Patient perceived choice, but not patient-provider communication, is positively associated with mammography utilization in women younger than 50 years of age.