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Consensus-based Algorithms to Address Opioid Misuse Behaviors Among Individuals Prescribed Long-term Opioid Therapy

NCT05182606 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 49

Last updated 2026-01-08

Study results available
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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.

Conditions

Interventions

BEHAVIORAL

Pilot study of algorithms implementation package

The algorithm implementation package includes a link to the algorithms in the Electronic Health Record, Smartphrases, audited feedback, and instructions.

Sponsors & Collaborators

  • National Institute on Drug Abuse (NIDA)

    collaborator NIH

  • University of Pittsburgh

    lead OTHER

Principal Investigators

  • Jessica Merlin · University of Pittsburgh

Study Design

Allocation
NA
Purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2022-03-01
Primary Completion
2023-09-30
Completion
2024-09-30

Countries

  • United States

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05182606 on ClinicalTrials.gov