Use of the BOADICEA Web Application in clinical practice: appraisals by clinicians from various countries

Research output: Contribution to journalArticle


The ‘BOADICEA’ Web Application (BWA) used to assess breast cancer risk, is currently being further developed, to integrate additional genetic and non-genetic factors. We surveyed clinicians’ perceived acceptability of the existing BWA v3. An online survey was conducted through the BOADICEA website, and the British, Dutch, French and Swedish genetics societies. Cross-sectional data from 443 participants who provided at least 50% responses were analysed. Respondents varied in age and, clinical seniority, but mainly comprised women (77%) and genetics professionals (82%). Some expressed negative opinions about the scientific validity of BOADICEA (9%) and BWA v3 risk presentations (7–9%). Data entry time (62%), clinical utility (22%) and ease of communicating BWA v3 risks (13–17%) received additional negative appraisals. In multivariate analyses, controlling for gender and country, data entry time was perceived as longer by genetic counsellors than clinical geneticists (p < 0.05). Respondents who (1) considered hormonal BC risk factors as more important (p < 0.01), and (2) communicated numerical risk estimates more frequently (p < 0.001), judged BWA v3 of lower clinical utility. Respondents who carried out less frequent clinical activity (p < 0.01) and respondents with ‘11 to 15 years’ seniority (p < 0.01) had less favourable opinions of BWA v3 risk presentations. Seniority of ‘6 to 10 years’ (p < 0.05) and more frequent numerical risk communication (p < 0.05) were associated with higher fear of communicating the BWA v3 risks to patients. The level of genetics training did not affect opinions. Further development of BWA should consider technological, genetics service delivery and training initiatives.


  • Anne Brédart
  • Jean Luc Kop
  • Antonis C. Antoniou
  • Alex P. Cunningham
  • Antoine de Pauw
  • Marc Tischkowitz
  • Hans Ehrencrona
  • Sylvie Dolbeault
  • Léonore Robieux
  • Kerstin Rhiem
  • Douglas F. Easton
  • Peter Devilee
  • Dominique Stoppa-Lyonnet
  • Rita Schmutlzer
External organisations
  • Curie Institute, Paris
  • Paris Descartes University
  • University of Lorraine
  • University of Cambridge
  • University of Paris-Sud
  • University Hospital of Cologne
  • Leiden University Medical Centre
  • Skåne University Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology


  • Appraisal, Breast cancer, Clinical practice, Risk prediction model, Survey, Tool
Original languageEnglish
Pages (from-to)31-41
JournalFamilial Cancer
Issue number1
Early online date2017 Jun 16
Publication statusPublished - 2018
Publication categoryResearch