N/A
Completed N=49
Consensus-based Algorithms to Address Opioid Misuse Behaviors Among Individuals Prescribed Long-term Opioid Therapy
Opioid Misuse · Postoperative Pain
Source: ClinicalTrials.gov NCT05182606 ↗
Enrolled (actual)
49
Serious AEs
0.0%
Results posted
Jun 2025
Primary outcomePrimary: Feasibility of Algorithms — 7; 13 Participants
Summary
The NIH Helping to End Addiction Long-term (HEAL) initiative has identified a critical next step to addressing the opioid crisis: improving treatments for opioid misuse behaviors (e.g., using more opioids than prescribed, illicit substance use) in patients prescribed long-term opioid therapy for chronic pain. In previous work, the investigators have developed innovative consensus-based algorithms to manage these behaviors. By developing implementation strategies for these algorithms, this project is directly responsive to the HEAL initiative and promises to reduce opioid misuse-related harms.
Outcome Measures
| Outcome | Result | p-value |
|---|---|---|
| PRIMARY Feasibility of Algorithms |
7; 13 | — |
| PRIMARY Acceptability of Algorithms |
19; 7 | — |
| SECONDARY Preliminary Effectiveness of Algorithms - MME Reduction ≥10% |
297; 122; 270 | — |
| SECONDARY Preliminary Effectiveness - Average MME Within Last 90 Days |
105.25; 96.76; 96.48 | — |
| SECONDARY Preliminary Effectiveness of Algorithms - Opioid Discontinuation |
95; 109; 166 | — |
| SECONDARY Preliminary Effectiveness of the Algorithms - New OUD Diagnoses |
0; 0; 0 | — |
Eligibility Criteria
Inclusion Criteria
- Clinicians practicing at UPMC community primary care clinics.
Exclusion Criteria
- Clinicians not practicing at UPMC community primary care clinics.
Data sourced from ClinicalTrials.gov (NCT05182606). Outcome figures and adverse-event rates are extracted automatically from the registry's posted results and are provided for clinician reference, not as a substitute for the primary publication. Informational only — not medical advice.