Digital STEADI Efficacy
Sponsor: Friendi.fi Corporation • ClinicalTrials.gov ID: NCT07852650
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The aging of the U.S. population, combined with health care workforce shortages and insufficient access to effective fall prevention and exercise programs, has contributed to a high burden of fall-related injuries in older adults, especially in those with Mild Cognitive Impairment (MCI), a precursor of Alzheimer's dementia (AD) and related dementias (ADRD). There is an urgent need for scalable, evidence-based interventions that can be delivered efficiently in the home setting. This study aims to evaluate the efficacy and impact of a comprehensive digital fall prevention program (Digital STEADI) delivered through a technology platform with two conversational agents that leverage generative artificial intelligence (gen-AI) with human oversight to increase program access, enhance adherence to clinical fall prevention protocols and best practices, and reduce fall risk among community-dwelling older adults.
Interventions
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Digital STEADI-1
(Behavioral)
STEADI fall risk screening, monitoring and exercise program delivered and coordinated via tablet-based avatar.
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STEADI Standard of Care
(Behavioral)
STEADI fall risk screening, monitoring, and exercise program delivered and coordinated via paper and pencil and humans.
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Digital STEADI-2
(Behavioral)
STEADI fall risk screening, monitoring and exercise program delivered and coordinated via SMS chat.
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Attentional control
(Behavioral)
Receiving CDC Healthy Living content unrelated to fall prevention plus usual geriatric care.
Eligibility criteria
Conditions
Locations
- Emory University School of Medicine — Atlanta, Georgia, United States
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Learn MoreOfficial Source
Data sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
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