Actively Recruiting
ALERT-ED: Awareness and Linkage to Resources for At-Risk Emergency Department Patients
Led by University of Colorado, Denver · Updated on 2026-05-01
20700
Participants Needed
1
Research Sites
79 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
Falls are the leading reason for injury-related emergency department (ED) visits in older adults with high rates of ED revisits for falls. Evidence-based fall prevention programs can reduce falls by 30%, but older adults commonly describe limited awareness of resources. Currently, all UCHealth ED patients receive fall risk screening on ED arrival, but patients are rarely made aware of their screening results or referred to resources. To address this gap, our team developed ALERT-ED, an intervention where study patients receive automated notification of fall risk screening results and referral via Livi to evidence-based fall prevention programs near their homes. If ALERT-ED is successful, we will demonstrate that UCHealth can improve patient health via pragmatic, automated notification of screening results and referral to resources. Although we designed ALERT-ED to intervene on fall risk in EDs, the intervention could be used for other health concerns central to UCHealth's mission including for patients seeking care for transplants, cancer, brain health, or orthopedic concerns.
CONDITIONS
Official Title
ALERT-ED: Awareness and Linkage to Resources for At-Risk Emergency Department Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- 65 years or older
- Screens high risk for falls on the Geriatric Fall assessment tool
You will not qualify if you...
- Does not consent to follow up interview
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
UCHealth
Aurora, Colorado, United States, 80045
Actively Recruiting
Research Team
E
Elizabeth M Goldberg, MD, ScM
CONTACT
K
Kathryn Erickson, MS
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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