Identifying Women at High Risk for Breast Cancer Using Data From the Electronic Health Record Compared With Self-Report.

ABSTRACT:

Purpose

A barrier to chemoprevention uptake among high-risk women is the lack of routine breast cancer risk assessment in the primary care setting. We calculated breast cancer risk using the Breast Cancer Surveillance Consortium (BCSC) model, accounting for age, race/ethnicity, first-degree family history of breast cancer, benign breast disease, and mammographic density, using data collected from the electronic health records (EHRs) and self-reports.

Patients and methods

Among women undergoing screening mammography, we enrolled those age 35 to 74 years without a prior history of breast cancer. Data on demographics, first-degree family history, breast radiology, and pathology reports were extracted from the EHR. We assessed agreement between the EHR and self-report on informa

SUBMITTER: Jiang X 

PROVIDER: S-EPMC6874029 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature