Numerous risk assessment tools have been developed which predict either current or future risk of a cancer diagnosis yet very few are used in routine clinical practice. These tools could be used for tailored disease prevention, more efficient use of cancer screening tests and to promote behavioural change to reduce cancer risk. We have a growing number of cancer risk-prediction models which incorporate phenotypic, behavioural and, increasingly, genomic variables; these models require simple-to-use risk assessment tools for their implementation into clinical practice, and in particular ones which can be incorporated into primary care. In this presentation I will present a recent systematic review of RCTs in primary care of cancer risk assessment tools. This will highlight some of the key issues which remain for successful implementation of these tools into primary care practice. Selecting which cancer risk prediction model to incorporate into a tool will depend not only the predictive utility of the model but also the feasibility of collecting more complex predictive variables in clinical practice. We should design tools that can be incorporated into the clinical consultation, and which present cancer risks in meaningful ways that are more likely to lead to appropriate behaviour change. I will present research on the development of the CRISP tool to demonstrate how we are applying these principles and trialing its effect on risk-stratified colorectal cancer screening in Australian primary care.
Citation Format: Jon Emery. Developing and evaluating cancer risk assessment tools for primary care. [abstract]. In: Proceedings of the AACR Special Conference: Improving Cancer Risk Prediction for Prevention and Early Detection; Nov 16-19, 2016; Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(5 Suppl):Abstract nr IA24.