Using AI and Peer Coaching to Address Racial Disparities Among People Who Use Opioids

Overview

Black and Latinx people who use opioids are disproportionately impacted by opioid overdose deaths. The proposed study assesses the efficacy of an open source, multimodal artificial intelligence-driven texting tool combined with peer recovery coach-supported text contact that delivers social services, stigma reduction, health habitus, and patient navigation content addressing social determinants of health to enhance receipt of buprenorphine in primary care among emergency department-enrolled Black / Latinx people who use opioids.

The investigators have validated a theory-driven, artificial intelligence (AI)-driven texting tool using natural language processing to facilitate real-time text responses to patient queries combined with automated texts facilitating receipt of buprenorphine in office-based opioid treatment (OBOT) and social services that address social determinants of health (SDH). This open-source texting tool offers passive reminders, informational content, and interactive two-way response algorithms without personal staff contact. In addition, the investigators have adapted an efficacious cultural and structural humility training for PRCs that goes beyond SDH to also address stigma reduction, discrimination, health habitus, and patient navigation to enhance uptake of primary care and social services for PWUO. 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.