Background: The CanRisk tool enables the collection of risk factor information and calculation of estimated future breast cancer risks based on the multifactorial Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model. Despite BOADICEA being recommended in National Institute for Health and Care Excellence (NICE) guidelines and CanRisk being freely available for use, the CanRisk tool has not yet been widely implemented in primary care.
Aim: To explore the barriers to and facilitators of the implementation of the CanRisk tool in primary care.
Design And Setting: A multi-methods study was conducted with primary care practitioners (PCPs) in the East of England.
Method: Participants used the CanRisk tool to complete two vignette-based case studies; semi-structured interviews gained feedback about the tool; and questionnaires collected demographic details and information about the structural characteristics of the practices.
Results: Sixteen PCPs (eight GPs and eight nurses) completed the study. The main barriers to implementation included: time needed to complete the tool; competing priorities; IT infrastructure; and PCPs' lack of confidence and knowledge to use the tool. Main facilitators included: easy navigation of the tool; its potential clinical impact; and the increasing availability of and expectation to use risk prediction tools.
Conclusion: There is now a greater understanding of the barriers and facilitators that exist when using CanRisk in primary care. The study has highlighted that future implementation activities should focus on reducing the time needed to complete a CanRisk calculation, integrating the CanRisk tool into existing IT infrastructure, and identifying appropriate contexts in which to conduct a CanRisk calculation. PCPs may also benefit from information about cancer risk assessment and CanRisk-specific training.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285688 | PMC |
| http://dx.doi.org/10.3399/BJGP.2022.0643 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating Real World Health System Resource Utilization and Costs for a Risk-Based Breast Cancer Screening Approach in the Canadian PERSPECTIVE Integration and Implementation Project.
Cancers (Basel)
September 2024
Ontario Health, 525 University Avenue, 5th Floor, Toronto, ON M5G 2L3, Canada.
Background: A prospective cohort study was undertaken within the PERSPECTIVE I&I project to evaluate healthcare resource utilization and costs associated with breast cancer risk assessment and screening and overall costs stratified by risk level, in Ontario, Canada.
Methods: From July 2019 to December 2022, 1997 females aged 50 to 70 years consented to risk assessment and received their breast cancer risk level and personalized screening action plan in Ontario. The mean costs for risk-stratified screening-related activities included risk assessment, screening and diagnostic costs.
Joint ABS-UKCGG-CanGene-CanVar consensus regarding the use of CanRisk in clinical practice.
Br J Cancer
June 2024
Translational Genetics Team, Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
Background: The CanRisk tool, which operationalises the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) is used by Clinical Geneticists, Genetic Counsellors, Breast Oncologists, Surgeons and Family History Nurses for breast cancer risk assessments both nationally and internationally. There are currently no guidelines with respect to the day-to-day clinical application of CanRisk and differing inputs to the model can result in different recommendations for practice.
Methods: To address this gap, the UK Cancer Genetics Group in collaboration with the Association of Breast Surgery and the CanGene-CanVar programme held a workshop on 16 of May 2023, with the aim of establishing best practice guidelines.
Validation of the BOADICEA model in a prospective cohort of pathogenic variant carriers.
J Med Genet
July 2024
Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge, UK.
Article Synopsis
- The study checked how well the BOADICEA model predicts breast cancer risk for people who carry certain gene changes (called pathogenic variants).
- They looked at information from a group of over 1,600 participants and found that the model worked really well, especially when considering family history and other risk factors.
- The results can help doctors and patients make better choices about cancer management, and the model can be accessed for free on the CanRisk website.
Regulating cancer risk prediction: legal considerations and stakeholder perspectives on the Canadian context.
Hum Genet
July 2023
Centre of Genomics and Policy, Faculty of Medicine, McGill University, Montréal, Québec, Canada.
Risk prediction models hold great promise to reduce the impact of cancer in society through advanced warning of risk and improved preventative modalities. These models are evolving and becoming more complex, increasingly integrating genetic screening data and polygenic risk scores as well as calculating risk for multiple types of a disease. However, unclear regulatory compliance requirements applicable to these models raise significant legal uncertainty and new questions about the regulation of medical devices.
View Article and Find Full Text PDFExploring the barriers to and facilitators of implementing CanRisk in primary care: a qualitative thematic framework analysis.
Br J Gen Pract
August 2023
Wolfson Institute of Population Health, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, UK.
Background: The CanRisk tool enables the collection of risk factor information and calculation of estimated future breast cancer risks based on the multifactorial Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model. Despite BOADICEA being recommended in National Institute for Health and Care Excellence (NICE) guidelines and CanRisk being freely available for use, the CanRisk tool has not yet been widely implemented in primary care.
Aim: To explore the barriers to and facilitators of the implementation of the CanRisk tool in primary care.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!