دورية أكاديمية

Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study.

التفاصيل البيبلوغرافية
العنوان: Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: A multi-methods study.
المؤلفون: Archer, Stephanie, Babb de Villiers, Chantal, Scheibl, Fiona, Carver, Tim, Hartley, Simon, Lee, Andrew, Cunningham, Alex P, Easton, Douglas F, McIntosh, Jennifer G, Emery, Jon, Tischkowitz, Marc, Antoniou, Antonis C, Walter, Fiona M
المصدر: PLoS One ; ISSN:1932-6203 ; Volume:15 ; Issue:3
بيانات النشر: Public Library of Science
سنة النشر: 2020
المجموعة: PubMed Central (PMC)
الوصف: There is a growing focus on the development of multi-factorial cancer risk prediction algorithms alongside tools that operationalise them for clinical use. BOADICEA is a breast and ovarian cancer risk prediction model incorporating genetic and other risk factors. A new user-friendly Web-based tool (CanRisk.org) has been developed to apply BOADICEA. This study aimed to explore the acceptability of the prototype CanRisk tool among two healthcare professional groups to inform further development, evaluation and implementation.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.1371/journal.pone.0229999Test; https://pubmed.ncbi.nlm.nih.gov/32142536Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059924Test/
DOI: 10.1371/journal.pone.0229999
الإتاحة: https://doi.org/10.1371/journal.pone.0229999Test
https://pubmed.ncbi.nlm.nih.gov/32142536Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7059924Test/
رقم الانضمام: edsbas.851F23D
قاعدة البيانات: BASE