A Trial to Reduce Inappropriate Prescribing to Older Adults Visiting the Emergency Department

NCT ID: NCT07146763

Last Updated: 2025-11-13

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

200 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-11-18

Study Completion Date

2027-03-31

Brief Summary

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Cluster-randomized trial assessing the impact of interventions on guideline-concordant prescribing in Emergency Departments (ED). The study compares the effectiveness of feedback messages about potentially inappropriate medications (PIMs) delivered by peer clinician prescribers or anonymous systems, compared to standard of care. The goal is to reduce PIM prescribing for older adults discharged from emergency departments.

Detailed Description

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The goal of this trial is to compare the effectiveness of prescribing feedback delivered by a credible peer messenger and by an anonymous messaging system against standard of care in emergency departments. This intervention to Emergency Department (ED) clinician prescribers is a modification of previous studies that optimizes feedback about Potentially Inappropriate Medications (PIMs) using findings from behavioral science. Clinician prescribers who meet eligibility criteria and provide digital affirmative consent will be enrolled if they have encounters in a participating ED facility. The Joint Data Analytics Team (JDAT) will identify patients aged 65 years and older who were seen in the ED to evaluate prescribing outcomes. The focus of this registration is the randomized trial.

Conditions

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Inappropriate Prescribing

Keywords

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Older Adults Emergency Department Inappropriate Prescribing

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

The study population are Emergency Medicine prescribers practicing in the Yale New Haven Health System with at least 30 visits with patients over age 65.

Patients are not target subjects but that their data will be utilized from the medical record, pre- and post-intervention.
Primary Study Purpose

PREVENTION

Blinding Strategy

SINGLE

Outcome Assessors

Study Groups

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Credible Peer Messenger

Providers receive automated prescribing feedback messages from a credible peer messenger, including aspirational norms and benchmark comparisons based on Geriatric Emergency Medication Safety Recommendations (GEMS-Rx) recommendations, to promote safer prescribing practices.

Group Type EXPERIMENTAL

Prescribing Feedback

Intervention Type BEHAVIORAL

Automated prescribing feedback messages are delivered to clinician prescribers in participating emergency departments. Messages are based on Geriatric Emergency Medication Safety Recommendations (GEMS-Rx) recommendations and include aspirational norms and benchmark comparisons. Depending on study arm, feedback is sent either from a credible peer messenger or through an anonymous messenger system.

Anonymous Messenger

Providers receive automated prescribing feedback messages from an anonymous messenger system, including aspirational norms and benchmark comparisons based on Geriatric Emergency Medication Safety Recommendations (GEMS-Rx) recommendations, to promote safer prescribing practices.

Group Type EXPERIMENTAL

Prescribing Feedback

Intervention Type BEHAVIORAL

Automated prescribing feedback messages are delivered to clinician prescribers in participating emergency departments. Messages are based on Geriatric Emergency Medication Safety Recommendations (GEMS-Rx) recommendations and include aspirational norms and benchmark comparisons. Depending on study arm, feedback is sent either from a credible peer messenger or through an anonymous messenger system.

Control group

Providers continue with standard of care. No feedback messages are sent.

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Prescribing Feedback

Automated prescribing feedback messages are delivered to clinician prescribers in participating emergency departments. Messages are based on Geriatric Emergency Medication Safety Recommendations (GEMS-Rx) recommendations and include aspirational norms and benchmark comparisons. Depending on study arm, feedback is sent either from a credible peer messenger or through an anonymous messenger system.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. Licensed clinicians with prescribing authority (physician, advanced practice registered nurse, or physician assistant)
2. Practicing in one of the participating Yale New Haven Health System emergency departments
3. At least 30 Emergency Department (ED) discharge encounters with patients aged 65 years or older in the 12 months preceding study enrollment
4. Provides digital affirmative consent to participate
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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National Institute on Aging (NIA)

NIH

Sponsor Role collaborator

Yale University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Daniella Meeker, PhD

Role: PRINCIPAL_INVESTIGATOR

Yale University

Locations

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Yale New Haven Hospital Emergency Departments

New Haven, Connecticut, United States

Site Status

Countries

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United States

Central Contacts

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Daniella Meeker, PhD

Role: CONTACT

Phone: 213-926-2658

Email: [email protected]

Jennifer Arango, MPH

Role: CONTACT

Phone: 203-415-0918

Email: [email protected]

Other Identifiers

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P30AG024968

Identifier Type: NIH

Identifier Source: secondary_id

View Link

2000036876

Identifier Type: -

Identifier Source: org_study_id