Adaptive Decision Support for Addiction Treatment (ADAPT) Factorial Trial

Study overview

This study is stage 1 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. This study does not have open enrollment. Investigators will use a Multiphase Optimization STrategy (MOST) framework study with preparation, optimization, and confirmatory phases. In the current project, optimization phase, stage1 investigators will conduct a 2x2x2 factorial trial in which they expand EMBED to include sustainable implementation strategies: nurse prompt for withdrawal assessment, and targeted clinician prompt to use the CDS along with patient resources to promote equity and motivate readiness to start treatment. Later study phases will include optimization phase, stage 2: rapid-cycle randomized testing, and evaluation phase: a randomized trial of the optimized package compared to the original EMBED and the evaluation phase in which investigators will compare the efficacy of the optimized, multicomponent CDS package to the original EMBED CDS on ED-initiation of buprenorphine rates in patients with OUD in a randomized trial. \*EMBED is a user centered, clinician facing clinical decision support system integrated into the electronic health record workflow to facilitate initiating buprenorphine in the emergency department by: diagnosing opioid use disorder with a checklist based on the diagnostic criteria of the DSM-5 (Diagnostic and Statistical Manual of Mental Disorders, fifth edition), assessing the severity of withdrawal with the Clinical Opioid Withdrawal Scale (COWS), motivating patients to accept treatment with a scripted brief negotiation interview, and automating the electronic health record workflow, including clinical and after visit documentation, order entry, prescribing, and referral for ongoing treatment in the community

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

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Collaborators and Investigators

Yale University,

Edward Melnick, MD, MHS, PRINCIPAL_INVESTIGATOR, Yale University

Study Record Dates

2026-10