ArticleSubstance use & addiction journal2026
Real-Time Expert Support for Addiction Care Across General Medical Settings: Evaluation of a Chat-Based Intervention.
Article in Substance use & addiction journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundPatients with substance use disorders are often seen by primary care and other frontline clinicians, yet gaps in knowledge, skills, and competing demands limit clinicians' ability to provide evidence-based care. A safety-net system developed a message-based intervention ("Chat") within the electronic health record for clinicians to pose addiction-related queries and receive guidance from addiction medicine experts. We describe the characteristics of Chat queries and the early implementation-related outcomes of the Chat.
methodsWe conducted a multi-method evaluation describing the characteristics of Chat queries and cross-sectional surveys of clinicians and addiction experts assessing implementation-related outcomes. Chat characteristics included volume, response time, and nature of the queries. Implementation outcomes included reach (proportion using the Chat), implementation (responsiveness and helpfulness of responses), usability (System Usability Scale), and acceptability, appropriateness, and feasibility (Acceptability of Intervention Measure, Intervention Appropriateness Measure, and Feasibility of Intervention Measure).
resultsOver 6 months, 84 queries were placed; 98% were answered, with an average response time of 4 (SD 19) minutes; 90% of responses occurred in <15 minutes. We surveyed 218 clinicians (60 responses, 28% response rate) and 28 addiction medicine experts (21 response, 75% response rate) with access to the Chat. Among clinicians, 68% (n = 41) were aware of the Chat, and 40% (n = 24) used it. Average usability scores were 87 (SD 11) among clinicians and 87 (SD 10) among experts, indicating excellent usability. Clinicians rated acceptability, appropriateness, and feasibility highly (average scores 4.5, 4.4, and 4.4, respectively). Key barriers include clinicians relying on other in-clinic support and addiction experts citing insufficient knowledge.
conclusionThe Chat is a pragmatic, usable, and near real-time peer-to-peer solution to support primary care clinicians while they provide care to patients who use substances. The Chat may improve the provision of evidence-based care and can be implemented in systems with existing addiction medicine expertise.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.