Adapting a Mammography Decision Aid to Support Women Living in a Community Contaminated by Per- and Polyfluoroalkyl Substances (PFAS)

Environmental contamination is increasingly recognized as a critical driver of cancer disparities, and communities impacted by industrial pollution experience greater risk of cancer and higher cancer worry which complicates health decision making. Recently the National Academies of Science Engineering and Medicine (NASEM) released guidance suggesting that per- and polyfluoroalkyl substances (PFAS) are suggestively associated with breast cancer risk and that individuals with moderate to high blood concentrations of these chemicals should screen for breast cancer according to age and other risk factors as recommended by the US Preventive Services Task Force (USPSTF). Mammography screening guidelines for women in their 40s increasingly call for the use of risk assessment tools to guide screening initiation and imaging intervals (e.g. every year vs. every two years), but current tools do not address environmental risk factors that can contribute to breast cancer risk. This poses a particular challenge in communities where there is a real or perceived increased risk of breast cancer stemming from an environmental contamination concern. There are currently no decision tools tailored to help women living in such communities with their decisions about breast cancer screening. Therefore, the goal of the proposed work is to test an adapted online decision aid to incorporate environmental risk messaging to increase informed breast cancer screening decisions for women 40-49 years of age living in the greater Merrimack, New Hampshire area, where known and ongoing PFAS contamination exists. In partnership with Merrimack Citizens for Clean Water, we will distribute a community survey among screening-eligible women to test the new risk messaging within the decision aid (n=100) and establish acceptability in an open-label, single arm trial. The proposed research will contribute novel data on community-driven priorities for information about environmental contaminants that may affect breast cancer risk assessment and screening decisions.