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iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management

Collins, Ian M., Bickerstaffe, Adrian, Ranaweera, Thilina, Maddumarachchi, Sanjaya, Keogh, Louise, Emery, Jon, Mann, G. Bruce, Butow, Phyllis, Weideman, Prue, Steel, Emily, Trainer, Alison, Bressel, Mathias, Hopper, John L., Cuzick, Jack, Antoniou, Antonis C. and Phillips, Kelly-Anne 2016, iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management, Breast cancer research and treatment, vol. 156, no. 1, pp. 171-182, doi: 10.1007/s10549-016-3726-y.

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Title iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management
Author(s) Collins, Ian M.ORCID iD for Collins, Ian M. orcid.org/0000-0001-6936-0942
Bickerstaffe, Adrian
Ranaweera, Thilina
Maddumarachchi, Sanjaya
Keogh, Louise
Emery, Jon
Mann, G. Bruce
Butow, Phyllis
Weideman, Prue
Steel, Emily
Trainer, Alison
Bressel, Mathias
Hopper, John L.
Cuzick, Jack
Antoniou, Antonis C.
Phillips, Kelly-Anne
Journal name Breast cancer research and treatment
Volume number 156
Issue number 1
Start page 171
End page 182
Total pages 12
Publisher Springer
Place of publication New York, N.Y.
Publication date 2016-02
ISSN 0167-6806
1573-7217
Keyword(s) breast cancer
risk
decision support
BRCA1
chemoprevention
Summary 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 Breast Cancer Family Study were entered into iPrevent(®), IBIS (v7.02), and BOADICEA (v3.0). Consistency of the model chosen by iPrevent(®) (i.e., IBIS or BOADICEA) with the programmed iPrevent(®) model choice algorithm was assessed. Estimated breast cancer risks from iPrevent(®) were compared with those attained directly from the chosen risk assessment model (IBIS or BOADICEA). Risk management interventions displayed by iPrevent(®) were assessed for appropriateness. Risk estimation model choice was 100 % consistent with the programmed iPrevent(®) logic. Discrepant 10-year and residual lifetime risk estimates of >1 % were found for 1 and 4 cases, respectively, none was clinically significant (maximal variation 1.4 %). Risk management interventions suggested by iPrevent(®) were 100 % appropriate. iPrevent(®) successfully integrates the IBIS and BOADICEA risk assessment models into a decision support tool that provides evidence-based, risk-adapted risk management advice. This may help to facilitate precision breast cancer prevention discussions between women and their healthcare providers.
Language eng
DOI 10.1007/s10549-016-3726-y
Field of Research 1112 Oncology And Carcinogenesis
Socio Economic Objective 920102 Cancer and Related Disorders
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
Free to Read? Yes
Use Rights Creative Commons Attribution non-commercial licence
Persistent URL http://hdl.handle.net/10536/DRO/DU:30081882

Document type: Journal Article
Collections: Faculty of Health
School of Medicine
Open Access Collection
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.