Breast Cancer Data Tracking Impact in South Carolina
GrantID: 76337
Grant Funding Amount Low: $50,000
Deadline: Ongoing
Grant Amount High: $50,000
Summary
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Grant Overview
South Carolina’s breast cancer subtype incidence data remain fragmented across seven separate hospital systems and the state central cancer registry, producing gaps that exceed 18 percent for triple-negative cases in rural counties. The absence of a unified, real-time linkage between pathology reports and treatment outcomes prevents investigators from isolating subtype-specific trends that differ from national Surveillance, Epidemiology, and End Results patterns. This fragmentation is most pronounced in the I-95 corridor counties where African American women constitute 42 percent of cases yet contribute only 19 percent of linked records.
The one-year award targets investigators who can build a minimum viable dataset covering at least four of the state’s five public health regions. Eligible applicants must demonstrate access to the South Carolina Data Oversight Council’s limited dataset and to at least two pathology departments that already perform HER2 and Ki-67 testing under CLIA certification. Budgets that allocate more than 30 percent of funds to new hardware purchases are routinely declined; reviewers instead favor proposals that lease existing server capacity at the Clemson University Genomics Institute.
Successful projects link registry records to insurance claims within twelve months, enabling calculation of subtype-specific survival differentials that currently rely on five-year lagged reports. The resulting dataset must be deposited in a state-approved repository with documented de-identification protocols that satisfy both HIPAA and South Carolina’s stricter vital records statutes. Applicants who already hold active data-use agreements with the Department of Health and Environmental Control receive an expedited compliance review.
Unlike neighboring Georgia, South Carolina statutes require explicit county-level reporting thresholds before data can be released; proposals must therefore include a county-coverage matrix showing that at least 70 percent of expected triple-negative cases will be captured. This requirement eliminates generic multi-state registry requests and forces applicants to articulate precise recruitment targets for the Upstate, Midlands, Pee Dee, Lowcountry, and Savannah River regions.
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