Implementation of an integrated framework for a breast cancer screening and navigation program for women from underresourced communities

Background Trends in breast cancer mortality in the United States are decreasing, but racial disparities persist. Using an implementation science framework to inform evidence-based breast cancer screening and navigation within federally qualified health centers (FQHCs) with community stakeholders can mitigate barriers to screening. Methods Using an integrated theoretical framework of the Practical, Robust Implementation and Sustainability Model and the Social Ecological Model, the University of Illinois Cancer Center and Mile Square Health Centers (MSHC) FQHC developed a breast cancer screening and navigation program, known as the Mile Square Accessible Mammogram Outreach and Engagement (Mi-MAMO) program, to tackle breast cancer disparities in Chicago among underresourced communities. To increase access to screening, patient navigators conducted community outreach activities. Partnerships were forged with community-based organizations, health care systems, and insurers. Outcomes were monitored with standardized performance measures. Results Between January and December 2017, 103 women received a screening mammogram at MSHC. To increase screening rates, Mi-MAMO was started in August 2017. Between January and December 2018, the number of women who received a screening mammogram increased to 567. From August 2017 to December 2018, 779 women received navigation to screening and/or diagnostic services through the Mi-MAMO program. The majority of women were uninsured (63.9%), and 95.5% were racial/ethnic minorities. Twenty-four percent (n = 185) completed diagnostic services, and 10 women received positive breast cancer diagnoses (mean age, 49.7 years); all successfully navigated to treatment. The Mi-MAMO program is ongoing. Conclusions Deploying an integrated framework for patient navigation programs can increase breast cancer screening utilization and awareness among underresourced populations at higher risk for breast cancer.