Adaptive Decision Support for Addiction Treatment (ADAPT) Serial Randomized Testing for Usability, Round 2

Part of paid clinical trials in Guilford, Connecticut.

Sponsor
Yale University
Study ID
NCT07602218
Status
Completed

Conditions

  • Clinical Decision Support
  • Opioid Use Disorder

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Interventions

  • Refined EMBED CDS — OTHER
    Refined EMBED CDS
  • Provider alert to order consultation with addiction counselor — OTHER
    Provider alert to order consult with addiction counselor

Study Details

This study is stage 2, round 2 of a larger study which refines and optimizes the EMBED clinical decision support (CDS); see NCT03658642 to increase number of ED physicians following standard of care for the administration of buprenorphine to appropriate patients with opioid use disorder.

Key Dates

First listed
May 22, 2026
Start date
May 26, 2026
Status verified
Aug 2026
Primary completion
Jul 13, 2026
Completion
Jul 13, 2026

Study Design

Enrollment
379 participants (actual)
Allocation
RANDOMIZED
Intervention model
SEQUENTIAL
Primary purpose
TREATMENT

Arms

  • Active Comparator: Refined EMBED CDS
    EMBED CDS refined based on previous results
  • Experimental: Refined EMBED plus provider alert in Epic to order a consult with an addiction counselor
    Provider alert in Epic to order a consult with an addiction counselor to assess for eligibility and initiation of MOUD

Primary Outcome Measure

Proportion of encounters with an order for an addiction counselor consult [ Time Frame: Trial round start to end up to 3 months ]

Locations (3)

FacilityCityStateZIPSite coordinators
Yale New Haven Shoreline Medical CenterGuilfordConnecticut06437-
Yale New Haven HospitalNew HavenConnecticut06510-
Yale New Haven Hospital- St. RaphaelNew HavenConnecticut06510-

Find similar trials in Guilford, CT

By research site
Yale New Haven Shoreline Medical Center· Guilford, CTYale New Haven Hospital· New Haven, CTYale New Haven Hospital- St. Raphael· New Haven, CT

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