Significance. Although national and philanthropic efforts have sought to reduce and eliminate breast cancer (BC) mortality disparities over the past few decades, they have not only persisted?but widened. Additionally, due to incomplete capture of recurrence data, no previous investigation has identified drivers of disparities in BC recurrence following a diagnosis of early-stage (I?IIIA) disease. In Georgia, where economic and racial/ethnic disparities are among the greatest in the United States, the sources of BC outcome disparities are unresolved, and likely arise from the interplay of causal and contributing factors at multiple levels?from cell to society. Approximately 40% of all BC survivors will suffer a recurrence during their lifetime, and clinical data suggest a higher risk of recurrence in minority and low-income women. Given the high lifetime risk of recurrence, posited race/ethnic disparities in recurrent BC, and documented mortality disparities across demographic domains, now is the pivotal time to characterize underlying pathways contributing to inequities in BC prognosis. Innovation. Our proposal is innovative in that it will be the first to estimate risks and rates of BC recurrence by demographic characteristics, consider intersectionality in BC outcome disparities, and use a multilevel decomposition approach to identify potential targets for intervention. Approach. Integrating multiple data streams (e.g., discharge, administrative claims, hospital, and census data) with cancer registry data from a large, diverse population, we will identify proximal, intermediate, and distal determinants of race/ethnic, SES, and urban/rural disparities in both recurrence and BC-specific mortality, as well as examine recurrence and its treatments as mediators of disparities in mortality rates by race, SES, and urban/rural characteristics. Data will be from approximately 30,000 women diagnosed with a first primary stage I?IIIA BC in Georgia (2013?2017) and followed for up to 12 years. Impact. Previous research in this area has had consistent shortcomings including (1) insufficient ascertainment of recurrence at the population level; (2) examining one or few factors without accounting for shared contributions across multiple levels; and (3) inadequate power to explore intersections of identity. Our study, for the first time, will examine multi-level contributors to race/ethnic, SES, and urban/rural disparities in both BC recurrence and mortality among women with early-stage disease. Our innovative multi- level decomposition approach will move us beyond merely documenting disparities, to identifying modifiable targets within the social contexts of affected communities, facilitating prioritization of interventions.
Breast cancer mortality disparities remains an important public health and clinical challenge. Understanding breast cancer recurrence is a critical target in reducing disparities, but a lack of population-based data limit inferences. The proposed study will advance our understanding of multi-level drivers of demographic disparities in recurrence and breast cancer-specific mortality, and facilitate prioritization of intervention targets.