Trial reportJAMA internal medicine2025
Clinical Decision Support System for Primary Care of Opioid Use Disorder: A Randomized Clinical Trial.
Trial report in JAMA internal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04198428 (Clinic-Randomized Trial of Clinical Decision Support for Opioid Use Disorders in Medical Settings), which is not on this map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Clinic-Randomized Trial of Clinical Decision Support for Opioid Use Disorders in Medical Settings (COMPUTE 2.0)
Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Real-World Effectiveness of AI-Enabled Clinical Decision Support in Primary Care: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Patient-reported outcomes for monitoring substance use treatment: A systematic review of single-item measures.Addiction (Abingdon, England) · 2026Pooled it
- Methodological innovations to advance substance use disorder research: Proceedings of a NIDA workshop on target trial emulation and translational testing of digital health tools.Journal of substance use and addiction treatment · 2026Article
- Exploring innovation landscapes: a national cross-sectional study of Swedish primary care from the viewpoint of primary care managers.BMC health services research · 2026Article
- Impact of virtual case conferences between primary care clinicians and an interdisciplinary chronic pain clinic.Canadian family physician Medecin de famille canadien · 2026Article
- Machine Learning Prediction and Reducing Overdoses With Electronic Health Record Nudges (mPROVEN) in the Primary Care Setting: Protocol for a Cluster Randomized Controlled Trial.JMIR research protocols · 2026Article
- Comorbidities of substance use: Opportunities realized and future needs.Journal of substance use and addiction treatment · 2026Article
- Peer Prescriber Support Strategies to Increase Buprenorphine Prescribing in Primary Care.Substance use & addiction journal · 2026Article
- Pharmacists in Primary Care: Catalyzing Treatment For Substance Use Disorders.Journal of general internal medicine · 2026Article
- Increasing Opioid Use Disorder Medication Treatment in Primary Care-What Works?JAMA internal medicine · 2025Article
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Importance: Nearly 727 000 individuals in the US died of opioid overdoses between 1999 and 2022. The current workforce of addiction medicine specialists is inadequate to address the scale of this crisis, and primary care clinicians (PCCs) do not feel sufficiently supported to treat opioid use disorder (OUD). Objective: To evaluate whether an electronic health record-integrated clinical decision support system (CDSS) increases OUD diagnosis and treatment in primary care. Design, Setting, and Participants: This pragmatic cluster randomized clinical trial was conducted from April 2021 to December 2023. Primary care clinics in 3 health systems in 4 US states were randomized to receive or not receive an electronic health record-integrated CDSS aimed at improving OUD diagnosis and treatment. Eligible patients were aged 18 to 75 years, visited a randomized clinic, and had an OUD diagnosis in the last 2 years, opioid overdose in the last 6 months, or risk score indicating high risk of OUD or opioid overdose. Data were analyzed from September 2023 to October 2024. Interventions: The OUD CDSS provided personalized treatment recommendations to patients and PCCs in intervention clinics. Main Outcomes and Measures: Primary outcomes were likelihood to receive (1) an OUD diagnosis (among high-risk patients without a baseline OUD diagnosis), (2) a naloxone prescription, or (3) a prescription of a medication for OUD (MOUD) or specialty referral, all within 30 days of first eligible (index) visit, and (4) days covered by a MOUD prescription in the 90 days after index. Results: Among 10 891 patients meeting eligibility criteria, 5918 (54.3%) were female, and the mean (SD) age was 48.0 (13.9) years. There was no difference in OUD diagnoses within 30 days between groups. Patients in the intervention group had more naloxone orders (80 of 5538 [1.4%] vs 40 of 5353 [0.7%]; odds ratio, 1.76; 95% CI, 1.14-2.72) and orders for MOUDs or treatment referral (775 of 5538 [14.0%] vs 503 of 5353 [9.4%]; odds ratio, 1.48; 95% CI, 1.05-2.08) within 30 days. There were no differences in median (IQR) days covered by MOUD over 90 days postindex between intervention (84 [55-90] days) and usual care (83 [55-90] days; rate ratio, 1.00; 95% CI, 0.93-1.08) or in overdose or death rates during the intervention period. Conclusions and Relevance: In this cluster randomized clinical trial, the intervention improved rates of naloxone orders and OUD treatment in primary care but did not affect days covered by a MOUD over 90 days postindex or overdose or death rates. These findings demonstrate an OUD CDSS can help increase access to OUD treatment in primary care. Trial Registration: ClinicalTrials.gov Identifier: NCT04198428.
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