Improving our understanding of breast cancer mortality disparities through recurrence: a multi-level approach among women in Georgia

通过复发提高我们对乳腺癌死亡率差异的理解：格鲁吉亚妇女的多层次方法

• 批准号: 10573305
• 负责人: Lauren E McCullough
• 金额: $ 56.68万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-03-04 至 2026-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10573305
• 关键词: Accounting; Adopted; Affect; Area; Black Populations; Black race; Breast Cancer Patient; Breast Cancer survivor; Cancer Prognosis; Caring; Cells; Censuses; Characteristics; Clinical; Clinical Data; Clinical Research; Communities; Data; Diagnosis; Disease; Disparate; Disparity; Distal; Distant; Early Diagnosis; Epidemiologic Methods; Ethnic Origin; Event; Funding Opportunities; Guidelines; Hospitals; Individual; Inequity; Institution; Intervention; Investigation; Low income; Mediating; Mediator; Minority; Nonmetastatic; Not Hispanic or Latino; Outcome; Outcomes Research; Pathway interactions; Pattern; Policies; Population; Population Heterogeneity; Population-Based Registry; Positioning Attribute; Prevalence; Prognosis; Public Health; Race; Recurrence; Recurrent Malignant Neoplasm; Research; Risk Estimate; Role; Rural; Social Environment; Societies; Source; Statistical Methods; Survivors; Time; Tumor Biology; United States; Woman; Work; breast cancer diagnosis; cancer health disparity; cancer recurrence; cancer survival; data registry; data streams; demographic disparity; demographics; disparity reduction; economic disparity; ethnic disparity; evidence base; experience; high risk; improved; innovation; intersectionality; lifetime risk; low socioeconomic status; malignant breast neoplasm; mortality; mortality disparity; multidisciplinary; multilevel analysis; neoplasm registry; outcome disparities; population based; racial determinant; racial disparity; rural disparities; rural residence; social epidemiology; survival disparity

PROJECT SUMMARY/ABSTRACT 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.

项目总结/文摘