Using AI and Peer Coaching to Address Racial Disparities Among People Who Use Opioids
NCT ID: NCT06569667
Last Updated: 2025-08-12
Study Results
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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RECRUITING
NA
292 participants
INTERVENTIONAL
2025-03-28
2026-08-31
Brief Summary
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Detailed Description
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Using a three-arm, comparative effectiveness trial design, the specific aims are to: (1) Assess the efficacy of PRC supported text-based care/services coordination with PWUO + AI-driven SDH-enhanced text messaging (intervention arm-1) vs. AI-driven SDH-enhanced text messaging only (intervention arm-2) vs. Treatment as Usual (TAU) or printed social/medical services referrals (control) to enhance the receipt of buprenorphine in OBOT among community and ED-enrolled Black / Latinx PWUO (N=252); (2) Evaluate the implementation of the multimodal intervention (arm-1) guided by the RE-AIM and CFIR frameworks using in-depth interviews among 3 stakeholder groups: (a) frontline providers (n=10); (b) administrators (n=10); and (c) a subset of the Black and Latinx PWUO from the multimodal intervention arm-1 (n=30); and (3) Identify the resources and estimate the associated cost of implementing and sustaining the multimodal intervention and incorporate this information into a customizable budget-impact tool and conduct a comprehensive economic evaluation to calculate the relative economic value (e.g., cost-per quality-adjusted life years, cost-per OUD treatment days) of each study arm from the healthcare sector, state policymaker, and societal perspectives which will also inform implementation framed by RE-AIM.
Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Intervention Arm-1: PRC supported text+ AI driven SDH-enhanced text
Participants in this arm will receive a combination of Peer Recovery Coaches (PRCs) supported text-based care/services coordination alongside AI-driven SDH-enhanced text messages to enhance the receipt of buprenorphine in Black/ Latin people who use opioids.
PRC supported text + AI driven SDH-enhanced text
This interventional study evaluates an AI-driven texting tool combined with peer recovery coach support to deliver social services, reduce stigma, and provide patient navigation content. The goal is to enhance the receipt of buprenorphine in primary care among emergency department-enrolled Black and Latinx individuals who use opioids, addressing the disproportionate impact of opioid overdose deaths on these communities.
Intervention Arm-2: AI driven SDH-enhanced text only
Participants in this arm will receive AI-driven SDH-enhanced text messages to enhance the receipt of buprenorphine in Black/ Latin people who use opioids. Unlike Arm-1, this intervention does not include the additional support and coordination provided by Peer Recovery Coaches.
AI driven SDH-enhanced text only
This interventional study evaluates an AI-driven SDH-enhanced texting tool to deliver social services, reduce stigma, and provide patient navigation content. The goal is to enhance the receipt of buprenorphine in primary care among emergency department-enrolled Black and Latinx individuals who use opioids, addressing the disproportionate impact of opioid overdose deaths on these communities.
Control Arm 3- Treatment as Usual
Control Arm-3 will receive treatment as usual (i.e., verbal instructions, NYC Dept of Health pamphlets detailing access to OUD and social services, health system smartphone application EMR patient portal).
Treatment as Usual (TAU)
Control Arm-3 will receive treatment as usual (i.e., verbal instructions, NYC Dept of Health pamphlets detailing access to OUD and social services, health system smartphone application EMR patient portal).
Interventions
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PRC supported text + AI driven SDH-enhanced text
This interventional study evaluates an AI-driven texting tool combined with peer recovery coach support to deliver social services, reduce stigma, and provide patient navigation content. The goal is to enhance the receipt of buprenorphine in primary care among emergency department-enrolled Black and Latinx individuals who use opioids, addressing the disproportionate impact of opioid overdose deaths on these communities.
AI driven SDH-enhanced text only
This interventional study evaluates an AI-driven SDH-enhanced texting tool to deliver social services, reduce stigma, and provide patient navigation content. The goal is to enhance the receipt of buprenorphine in primary care among emergency department-enrolled Black and Latinx individuals who use opioids, addressing the disproportionate impact of opioid overdose deaths on these communities.
Treatment as Usual (TAU)
Control Arm-3 will receive treatment as usual (i.e., verbal instructions, NYC Dept of Health pamphlets detailing access to OUD and social services, health system smartphone application EMR patient portal).
Eligibility Criteria
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Inclusion Criteria
2. fluent in English and/or Spanish;
3. self-reported non-prescription opioid use \<30 days prior to consent;
4. provision of informed consent;
5. planned stay in NYC ≥12 month;
6. self-identified Black and/or Latinx race/ethnicity;
7. positive urine toxicology for opioids per EMR records;
8. diagnosis of OUD per the Diagnostic and Statistical Manual of Mental Disorders-5
9. self-reported interest in initiating buprenorphine in primary care
10. must have a mobile phone data plan.
Exclusion Criteria
2. physical or visual disability preventing mobile phone use;
3. self-reported receipt of medications for OUD in past 30 days.
18 Years
99 Years
ALL
No
Sponsors
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Nathan Kline Institute for Psychiatric Research
OTHER
NYU Langone Health
OTHER
Weill Medical College of Cornell University
OTHER
Friends Research Institute, Inc.
OTHER
Responsible Party
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Principal Investigators
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Babak Tofighi, MSc, MD
Role: PRINCIPAL_INVESTIGATOR
Friends Research Institute, Inc.
Locations
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NYC Health + Hospitals
The Bronx, New York, United States
Countries
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Central Contacts
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Facility Contacts
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Provided Documents
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Document Type: Study Protocol and Statistical Analysis Plan
Other Identifiers
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