A Cognitive Risk Calculator and Screening Tool for Primary Care Settings

This mixed-methods pragmatic trial will use a stepped wedge cluster randomized design to implement a cognitive risk-calculator and automated cognitive screening tool (BACH) in eight internal medicine clinics in the Cleveland Clinic Health System. Administrative and EHR data will provide quantitative metrics of adoption (tool use) and effectiveness (change in provider behavior) while observations, interviews, and questionnaires will assess fidelity, acceptability, and feasibility for all stakeholders. Analyses will consider provider characteristics, clinic attributes, and regional variations in patient characteristics (e.g., SES, race/ethnicity).