| Title |
iPrevent®: a tailored, web-based, decision support tool for breast cancer risk assessment and management
|
|---|---|
| Published in |
Breast Cancer Research and Treatment, February 2016
|
| DOI | 10.1007/s10549-016-3726-y |
| Pubmed ID | |
| Authors |
Ian M. Collins, Adrian Bickerstaffe, Thilina Ranaweera, Sanjaya Maddumarachchi, Louise Keogh, Jon Emery, G. Bruce Mann, Phyllis Butow, Prue Weideman, Emma Steel, Alison Trainer, Mathias Bressel, John L. Hopper, Jack Cuzick, Antonis C. Antoniou, Kelly-Anne Phillips |
| 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 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. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 1% |
| Canada | 1 | 1% |
| Unknown | 95 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 14% |
| Student > Master | 12 | 12% |
| Student > Bachelor | 10 | 10% |
| Student > Doctoral Student | 7 | 7% |
| Student > Ph. D. Student | 7 | 7% |
| Other | 21 | 22% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 24% |
| Nursing and Health Professions | 9 | 9% |
| Biochemistry, Genetics and Molecular Biology | 6 | 6% |
| Agricultural and Biological Sciences | 5 | 5% |
| Psychology | 5 | 5% |
| Other | 19 | 20% |
| Unknown | 30 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 November 2016.
All research outputs
#16,327,221
of 24,059,832 outputs
Outputs from Breast Cancer Research and Treatment
#3,438
of 4,819 outputs
Outputs of similar age
#181,384
of 303,275 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#35
of 72 outputs
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