ALERT-ED: Awareness and Linkage to Resources for At-Risk Emergency Department Patients

NCT ID: NCT07028463

Last Updated: 2025-12-04

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

20700 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-12-01

Study Completion Date

2027-07-31

Brief Summary

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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.

Detailed Description

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Conditions

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High Fall Risk

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

PREVENTION

Blinding Strategy

NONE

Study Groups

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Receives online educational recourses

Group Type NO_INTERVENTION

No interventions assigned to this group

ALERT-ED

Patient receives link to the Livi Chatbot in After Visit Summary

Group Type EXPERIMENTAL

ALERT-ED

Intervention Type BEHAVIORAL

Patient receives link to the Livi Chatbot in After Visit Summary

Interventions

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ALERT-ED

Patient receives link to the Livi Chatbot in After Visit Summary

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

* 65 years or older
* Screens high risk falls on the Geriatric Fall assessment tool (as shown in protocol and used as standard practice in study ED)

Exclusion Criteria

* Does not consent to follow up interview
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University of Colorado, Denver

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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UCHealth

Aurora, Colorado, United States

Site Status

Countries

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United States

Central Contacts

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Elizabeth M Goldberg, MD, ScM

Role: CONTACT

3037244712

Kathryn Erickson, MS

Role: CONTACT

Facility Contacts

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Elizabeth M Goldberg, MD, ScM

Role: primary

303-724-4712

Kathryn Erickson, MS

Role: backup

Other Identifiers

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24-1263

Identifier Type: -

Identifier Source: org_study_id

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