Helping Patients and Providers Make Better Decisions About Colorectal Cancer Screening

The research team has developed and pilot tested a decision aid and provider message that discloses the patient's current risk of ACN, based on a prediction rule developed and validated by Dr. Thomas Imperiale, a member of the study team. The Imperiale Prediction Rule uses five variables (gender, age, CRC family history, waist circumference, and smoking history) and identifies a wide range of risk for current ACN among average risk patients. For patients with "high-average" risk (22%), personalized messages in the decision aid and provider notification highlight the advantage of colonoscopy because of the likelihood of finding and removing an ACN. For patients at low risk for ACN (2% or 4%), personalized messages highlight the advantage of stool testing, due to the relatively low chance of failing to detect ACN. The investigators' long-term goal is to increase uptake of CRC screening by informing and improving patient and provider discussion and decisions. The main objective of this project is to test whether providing patients and their providers with personalized messages about ACN risk results in higher screening uptake and higher decision quality, compared to an approach that does not utilize ACN risk.