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Acceptability and usability of iPrevent, a web-based decision support tool for assessment and management of breast cancer risk

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Phillips, Kelly-Anne 
Lo, Louisa 
Bressel, Mathias 
Collins, Ian M 
Emery, Jon 

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.

Description

Keywords

Journal Title

CANCER RESEARCH

Conference Name

San Antonio Breast Cancer Symposium

Journal ISSN

0008-5472
1538-7445

Volume Title

78

Publisher