Journal article
iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management
IM Collins, A Bickerstaffe, T Ranaweera, S Maddumarachchi, L Keogh, J Emery, GB Mann, P Butow, P Weideman, E Steel, A Trainer, M Bressel, JL Hopper, J Cuzick, AC Antoniou, KA Phillips
Breast Cancer Research and Treatment | Published : 2016
Abstract
We aimed to develop a user-centered, web-based, decision support tool for breast cancer risk assessment and personalized risk management. Using a novel model choice algorithm, iPrevent® selects one of two validated breast cancer risk estimation models (IBIS or BOADICEA), based on risk factor data entered by the user. Resulting risk estimates are presented in simple language and graphic formats for easy comprehension. iPrevent® then presents risk-adapted, evidence-based, guideline-endorsed management options. Development was an iterative process with regular feedback from multidisciplinary experts and consumers. To verify iPrevent®, risk factor data for 127 cases derived from the Australian B..
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Grants
Awarded by National Health and Medical Research Council
Funding Acknowledgements
This research was funded by the Australian National Health and Medical Research Council (NHMRC) (#1064244) and by the Australia and New Zealand Breast Cancer Trials Group from public donations made to the Breast Cancer Institute of Australia. KAP is an Australian National Breast Cancer Foundation Practitioner Fellow. JLH is a NHMRC Senior Principal Research Fellow. ACA is a Cancer Research - UK Senior Cancer Research Fellow.