Reward-based Technology to Improve OUD Treatment

Opioid Use Disorder

Substance Use Disorder, Opioid Use Disorder, Contingency Management, Medication for opioid use disorder, Medication-assisted treatment

Millions of people in the US misuse opioids each year. Medication assisted treatment (MAT) for opioid use disorder (OUD) is highly efficacious, but only a fraction of OUD persons access MAT, and treatment non-adherence is common and associated with poor outcomes. This project will utilize a digital mobile platform, Opioid Addiction Recovery Support with contingency management (OARSCM), to increase MAT treatment initiation and adherence among OUD patients recruited from emergency departments and inpatient acute care.

Millions of people in the US misuse opioids each year, leading to thousands of deaths and costing billions of dollars in total economic burden. Medication assisted treatment (MAT) for opioid use disorder (OUD) is highly efficacious, but only a fraction of OUD persons access MAT, and treatment non-adherence is common and associated with poor outcomes. This STTR Fast Track proposal is designed to increase rates of Suboxone (buprenorphine/naloxone) treatment initiation and adherence among OUD patients recruited from emergency and inpatient acute care. To accomplish these aims, the project will enhance the Opioid Addiction Recovery Support (OARS), an existing Q2i company technology, with a new evidence-based reward, contingency management (CM) function. CM interventions systematically reward (reinforce) specific behaviors like treatment initiation and adherence with therapy attendance and drug-free urine tests and are highly efficacious. An OARS solution enhanced with a CM component (OARSCM) that allows for the automatic calculation, delivery, and redemption of rewards contingent on objective evidence of treatment behaviors may be key to improving Suboxone initiation and adherence. In Phase 1 of this proposal, the existing OARS clinician portal and patient mobile application will be modified to accommodate entry into the software system from an acute care setting and to automatically manage and deliver rewards to create OARSCM using patient-centered design principles. Focus groups with OUD patients and other key stakeholders will inform design. Primary usability outcomes will be examined, and the program iteratively updated. After meeting milestones, there was a proof-of-concept pilot of usability, acceptability, and effects on initial behavior targets with approximately 20 patients and at least 4 providers. After meeting milestones, this RCT will follow, in which acute care OUD patients appropriate for outpatient Suboxone (N = 102) are recruited and allocated to one of two study conditions: 1) treatment as usual (TAU) with MyMAT, comprised of screening, brief intervention, referral to treatment by a trained clinician, and an educational mobile app (MyMAT), 2) OARSCM. The active intervention window for the two intervention groups will be 12 weeks. Patients will be onboarded prior to discharge from acute care. In the outpatient Suboxone setting, data on treatment adherence and opioid use will be captured from clinical records for six months. Telephone follow-up assessments and vital statics registry reviews will be at month 1, month 3 (end-of-study intervention period), and month 6. Primary Suboxone treatment initiation outcomes will be completing the Suboxone intake. Primary Suboxone treatment outcomes will be sustained abstinence at Month 6 and longest duration of abstinence. Analysis will examine data on cost avoidance and cost savings through reduced acute care visits between study conditions.

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United States