ArticleJournal of substance use and addiction treatment2024
Peer-Assisted Telemedicine for Hepatitis C (PATHS): Process evaluation results from a State Opioid Response-funded program.
Article in Journal of substance use and addiction treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Rural community peer partnerships for improving methamphetamine -associated heart failure screening and engagement in cardiology care (PEER-Heart): Study protocol.Drug and alcohol dependence reports · 2026Article
- Facilitated Telemedicine as a Patient-Centered, Sociotechnical Intervention to Integrate Hepatitis C Treatment Into Opioid Treatment Programs and Overcome the Digital Divide Among Underserved Populations: Qualitative Study.JMIR public health and surveillance · 2025Article
- Hepatitis C Treatment Initiation During Hospitalization for People Who Use Drugs: A Narrative Review of the Literature.Open forum infectious diseases · 2025Review
- Approaches to Offering Hepatitis C Treatment at Syringe Services Programs in the United States: A Scoping Review.Open forum infectious diseases · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
introductionThe opioid crisis and the hepatitis C virus epidemic perpetuate and potentiate each other in a syndemic with escalating morbidity. Policy-driven funding can help resolve the syndemic through collaborative solutions that rapidly translate evidence-based interventions into real-world applications.
methodsWe report development and programmatic evaluation of Peer-Assisted Telemedicine for Hepatitis C (PATHS), which utilizes State Opioid Response (SOR) funding to scale-up a positive randomized trial of peer-assisted telemedicine HCV treatment. PATHS employs staff within an academic medical center and partners with people with lived experience of drug use, "peers," to recruit rural-dwelling people who use drugs living with HCV. PATHS staff record patient data by abstracting clinical records or directly communicating with patients and peers. Peers are funded by a separate SOR-supported program administered through the state health authority. Peers support patients through HCV screening, treatment initiation via telemedicine, adherence, and cure.
resultsBetween March 2021 and June 2024, PATHS expanded to 18 of Oregon's 36 counties. In that time, PATHS diagnosed 198 rural PWUD with HCV. One hundred sixty-seven (84.3 %) linked to telemedicine and of these, 145 (86.8 %) initiated treatment. Of those who initiated treatment, 91 (62.8 %) completed treatment, of which 61 (67.0 %) are cured.
conclusionsBy rapidly translating a clinical innovation in HCV treatment to achieve highly effective real-world results, PATHS models how policy-driven funding can facilitate collaboration between community partners, academic medical centers, and state health departments to end the opioid-HCV syndemic.
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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.