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...
e20660 Background: End user input into the design of decision support tools is critical to enhance ...
BACKGROUND: Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADI...
Abstract BOADICEA is a comprehensive risk prediction model for breast and/or ovarian cancer (BC/OC) ...
The ‘BOADICEA’ Web Application (BWA) used to assess breast cancer risk, is currently being further d...
International audienceThe ‘BOADICEA’ Web Application (BWA) used to assess breast cancer risk, is cur...
The 'BOADICEA' Web Application (BWA) used to assess breast cancer risk, is currently being further d...
The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) to...
International audienceThe BOADICEA breast cancer (BC) risk assessment model and its associated Web A...
The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) to...
BACKGROUND:There is a growing focus on the development of multi-factorial cancer risk prediction alg...
BACKGROUND: There is a growing focus on the development of multi-factorial cancer risk prediction al...
BACKGROUND: In the past 20 years, society has witnessed the following landmark scientific advances: ...
Objective: To develop and evaluate a prototype tool, with two different types of user interface, des...
Background There is a growing focus on the development of multi-factorial cancer risk prediction alg...
International audienceCounseling for familial breast cancer focuses on communicating the gene test r...
e20660 Background: End user input into the design of decision support tools is critical to enhance ...
BACKGROUND: Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADI...
Abstract BOADICEA is a comprehensive risk prediction model for breast and/or ovarian cancer (BC/OC) ...
The ‘BOADICEA’ Web Application (BWA) used to assess breast cancer risk, is currently being further d...
International audienceThe ‘BOADICEA’ Web Application (BWA) used to assess breast cancer risk, is cur...
The 'BOADICEA' Web Application (BWA) used to assess breast cancer risk, is currently being further d...
The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) to...
International audienceThe BOADICEA breast cancer (BC) risk assessment model and its associated Web A...
The BOADICEA breast cancer (BC) risk assessment model and its associated Web Application v3 (BWA) to...
BACKGROUND:There is a growing focus on the development of multi-factorial cancer risk prediction alg...
BACKGROUND: There is a growing focus on the development of multi-factorial cancer risk prediction al...
BACKGROUND: In the past 20 years, society has witnessed the following landmark scientific advances: ...
Objective: To develop and evaluate a prototype tool, with two different types of user interface, des...
Background There is a growing focus on the development of multi-factorial cancer risk prediction alg...
International audienceCounseling for familial breast cancer focuses on communicating the gene test r...
e20660 Background: End user input into the design of decision support tools is critical to enhance ...
BACKGROUND: Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADI...
Abstract BOADICEA is a comprehensive risk prediction model for breast and/or ovarian cancer (BC/OC) ...