Acceptability and usability of iPrevent, a web-based decision support tool for assessment and management of breast cancer risk
Accepted version
Peer-reviewed
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Abstract
Body: Background: iPrevent estimates an individual's personal BC risk, using either the IBIS or BOADICEA algorithms, and provides tailored risk management information on screening, lifestyle modifications, risk-reducing surgery and risk-reducing medication. It is designed to be used collaboratively by women and their clinicians. The purpose of this pre-implementation pilot study was to assess the clinical usability and acceptability of the iPrevent prototype, and to identify barriers to clinical implementation. Exploratory aims investigated patients' BC worry, anxiety, risk perception and knowledge before and after using iPrevent.
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Journal Title
CANCER RESEARCH
Conference Name
San Antonio Breast Cancer Symposium
Journal ISSN
0008-5472
1538-7445
1538-7445
Volume Title
78