ArticleAddiction science & clinical practice2025
Patient centered medication treatment for opioid use disorder in rural Vermont: a qualitative study.
Article in Addiction science & clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Effectiveness of Washington State's hub and spoke model to improve opioid use disorder outcomes.Health affairs scholar · 2025Article
- Lived Experiences of Medication for Opioid Use Disorder: Clients' Perspectives on Formulation and Treatment.Substance use : research and treatmentArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundOpioid-related fatal overdoses are occurring at historically high levels and increasing each year. Accessible social and financial support are imperative to the initiation and success of treatment for Opioid Use Disorder (OUD). Medications for Opioid Use Disorder (MOUD) offer effective treatment but there are many more people with untreated OUD than receiving evidence-based medication. Patient-centered care is associated with increased care utilization for substance use disorders. This qualitative study explored the patient perspective of OUD care through a Patient-Centered Care (PCC) framework to illuminate patients' sense of engagement in care.
methodsFifteen semi-structured telephone interviews were conducted from August through November of 2021 regarding patient experiences receiving MOUD in 13 Vermont Hub and Spoke clinics. Emergent themes were deductively mapped to PCC domains of Therapeutic Alliance, Individualized Care, Shared Decision-Making, and Holistic Care.
resultsParticipants indicated that PCC fostered engagement and often characterized MOUD clinics they no longer attended as lacking in PCC. Themes related to Therapeutic Alliance were the most prevalent and suggest pathways to retention. Individualizing care through flexible appointment scheduling was strongly valued, while inflexible scheduling fostered fear of not getting medication. Some participants indicated they were less likely to remain in care when providers did not include them in decisions about medication type, dose, or formulation. Participants also appreciated holistic biopsychosocial care and care referrals.
conclusionsPatient-centered MOUD care was important to participants and encouraged engagement in care. Prioritizing alliance with patients, adapting care to patient needs and preferences particularly when scheduling, including patients in medication decisions, and biopsychosocial attention to patients are congruent with patient perception of desirable MOUD care. Having this understanding of an established, leading MOUD treatment system may serve to benefit states looking to implement this model, or for states who are looking to improve the model they already have in place, potentially leading to higher treatment and retention rates.
trial registrationThis was not a clinical trial involving an intervention, and therefore registration was not required.
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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.