Large Datasets for Disparities Research in Breast Cancer

AbstractPurpose of ReviewBreast cancer disparities affect how different populations are impacted by breast cancer incidence, mortality, and survival. We provide an overview of large datasets that scientists can use to study disparities in breast cancer outcomes.Recent FindingsMany large datasets are accessible to disparities researchers with a project plan and little or no cost. Yet only two datasets have been significantly used in breast cancer disparities publications. Other datasets combine administrative claim, molecular, electronic health record, patient reported, imaging, and clinical trial data in a way that could benefit disparities research.SummaryMany existing datasets lack sufficient diversity or detail in key disparity variables. With this review of the different datasets available and their potential pitfalls, researchers will be better equipped to conduct studies that can identify and solve the problems that lead to health outcome disparities for breast cancer patients.
Source: Current Breast Cancer Reports - Category: Cancer & Oncology Source Type: research