Developing a website to help women aged 55 + incorporate risk in decision-making about breast cancer screening and prevention medications.

Schonberg, Mara A, Jessica Jushchyshyn, Ria Shah, Long Ngo, and Emily A Wolfson. 2025. “Developing a Website to Help Women Aged 55 + incorporate Risk in Decision-Making about Breast Cancer Screening and Prevention Medications.”. Patient Education and Counseling 137: 108819.

Abstract

OBJECTIVES: Guidelines recommend women consider their breast cancer risk and life expectancy when deciding on breast cancer screening (e.g., intervals, when to stop) and prevention medication. We previously developed a competing-risk model to predict 10-year breast cancer risk and non-breast cancer death in women > 55 years to support decision-making. Here, we aimed to develop a decision aid (DA) website incorporating our model's risk estimates.

METHODS: We designed the DA based on international standards using the free R package Shiny. We included a risk-assessment page, risk estimates, and decision support on breast cancer screening and prevention medications. We recruited national experts, Boston-area primary care practitioners (PCPs), and female patients > 55 years without breast cancer history to provide feedback on the DA via questionnaire or personal interview. We used thematic analysis to identify themes in participants' open-ended comments until reaching thematic saturation. Study questionnaires assessed DA helpfulness and ease-of-use.

RESULTS: Forty-five (53.6 %) of 84 eligible patients approached participated. Their mean age was 65.9 years (SD 7.9), 31 (68.9 %) were non-Hispanic White, and 31 (68.9 %) graduated college. Of 52 experts/PCPs contacted, 30 participated. Participants found the DA helpful (35/44 patients [79.5 %] and 28/29 [96.6 %] experts/PCPs) and easy-to-use (39/45 patients [86.7 %] and 28/29 PCPs/experts, [96.6 %]). They described the DA as "informative" and liked the "tailored-risk information." They suggested changes to simplify the DA and to better individualize the decision-support. We iteratively revised the website. We could not program some recommended changes using the free R application.

CONCLUSIONS: We developed an informative and easy-to-use breast cancer screening and prevention medication DA website (https://bcrisk55plus.shinyapps.io/risktool/) for women > 55 using free software. Next, we will program the website using HTML code and test its effects prospectively.

PRACTICE IMPLICATIONS: We anticipate that use of the DA will help women > 55 with breast cancer screening and prevention decisions.

Last updated on 06/02/2025
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