Breast Density / Breast Cancer Female
This trial will test a decision support web based intervention for women at increased risk for breast cancer due to breast density and other risk factors (age, race/ethnicity, family history of breast cancer, history of prior breast biopsies), and to consider MRI and/or chemoprevention to manage their breast cancer risk.
- Behavioral: Usual Care ArmHealth information provided by the American Cancer Society Website
- Behavioral: Personalized Web Intervention ArmWomen will be assigned to view a tailored website featuring their personalized risk information for breast cancer related to breast density and other factors.
|Ages eligible for Study||40 Years to 69 Years|
|Genders eligible for Study||Female|
|Accepts Healthy Volunteers||No|
- Women, aged 40-69
- Enrolled at Group Health
- Have had a negative mammogram as part of their routine care
- Either (a) an intermediate 5-year risk (>1.67%-2.49%) and extremely dense breasts or (b) a high 5-year risk (≥2.50%) and either heterogeneously dense or extremely dense breasts utilizing the Breast Cancer Surveillance Consortium Risk Calculator (http://tools.bcsc-scc.org/BC5yearRisk/)
- Women must also have a valid email address.
- Not able to speak and read English
- History of LCIS
- Prior cancer diagnosis (including DCIS)
- Known BRCA1/2 family mutation, or previous receipt of cancer genetic counseling
- Do not want to be contacted for research
- Have previously participated in intervention development activities
- Dis-enrolled from health plan between mammogram and start of recruitment.
Along with better-known risk factors such as family history having dense breasts is one of the strongest breast cancer risk factors. Extremely dense breast tissue affects about 10% of women, with an additional third having heterogeneously dense breasts. Women in these categories have 3-6 times the risk of breast cancer as compared to women with least density. Although breast density is measured on routine screening mammograms, it is not typically communicated to patients. This is changing as a result of legal mandates and approaches need to be tested to effectively integrate this clinical information in care. Therefore,we have developed an intervention to support decision making about cancer risk management (MRI and chemoprevention) for women at clinically elevated risk using a web-based intervention that will evaluate the efficacy of a web based intervention with personalized risk information communication versus usual care.
United States (1)
- Kaiser Permanente Washington Health Research InstituterecruitingSeattle, Washington, United States, 28124
14 February, 2017
29 August, 2017