The objectives of this proposal are to evaluate the eSTEPS CDS (eSTEPS) in a cluster randomized controlled trial. The intervention includes the following: 1) A machine learning-based fall injury risk screening algorithm to improve traditional fall risk screening. 2) Provider BPA and/or Care Gap and Smart Set to provide CDS that helps primary care providers develop a tailored fall prevention exercise plan in the context of a Medicare Wellness Visit and 3) eSTEPS Patient App and exercise tools to provide older patients continued access to their interactive, tailored exercise plan.
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
To determine the effect of the eSTEPS intervention on the rate of falls
Timeframe: Up to 23 months