Falls Clinical Trial
Official title:
Electronic Strategies for Tailored Exercise to Prevent FallS
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.
This project will use traditional fall risk screening and machine learning approaches to accurately identify older adults at risk for falls. Investigators will then develop CDS that will be implemented into the electronic health record that helps primary care providers and older patients develop a tailored fall prevention exercise plan (eSTEPS). The eSTEPS CDS will be integrated into the widely implemented Epic EHR which will be accessible through the Care Gap and SmartSet to provide actionable CDS within primary care clinic workflows and facilitate the use of CDS with older patients during their annual wellness visit, ensuring that evidence-based recommendations are tailored to patients' preferences. The tailored exercise prescription will also be available through printouts, a website, and an app for use by patients at home. The eSTEPS intervention includes the provider CDS and the patient resources (printouts, website, exercise app) that will support primary care providers and patients with personalized exercise care planning during an annual Medicare Wellness visit. Investigators will conduct a cluster randomized controlled trial in urban primary care clinics to test the efficacy of the eSTEPS CDS intervention. Development of the eSTEPS CDS within the widely adopted Epic Electronic Health Record will support dissemination of evidence for older adults. ;
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