ArticleJournal of community health2019
Successful Implementation of a Shared Medical Appointment Model for Hepatitis C Treatment at a Community Health Center.
Article in Journal of community health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Infectious Diseases Among People Experiencing Homelessness: A Systematic Review of the Literature in the United States and Canada, 2003-2022.Public health reports (Washington, D.C. : 1974)Pooled it
- Can you be a peer if you don't share the same health or social conditions? A qualitative study on peer integration in a primary care setting.BMC primary care · 2024Article
- Factors Associated with Sustained Virologic Response to Hepatitis C Treatment in a Homeless-Experienced Cohort in Boston, 2014-2020.Journal of general internal medicine · 2023Article
- Article
- A hepatitis C elimination model in healthcare for the homeless organization: A novel reflexive laboratory algorithm and equity assessment.The International journal on drug policy · 2021Article
- Large-Scale, Primary Care-Based Hepatitis C Treatment in an Urban, Medically Underserved Patient Population.Public health reports (Washington, D.C. : 1974)Article
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 at 1 institution in 1 country.
Funding
Abstract
Highly efficacious direct acting antiviral (DAA) therapy for treatment of Hepatitis C Virus (HCV) infection is largely inaccessible to communities facing a shortage of available specialist providers. Though less demanding than previous interferon regimens, DAA therapy requires patients to adhere to 8-12 weeks of daily treatment, which can be challenging for some patient populations. Duffy Health Center, located on Cape Cod, Massachusetts, provides integrated medical, mental health and case management services to people who are homeless or at risk for homelessness. The goal of this manuscript is to evaluate the outcomes of treatment of HCV infection with a shared medical appointment (SMA) model. The primary outcome was sustained virologic response (SVR-12), or HCV RNA ≤ 15 IU/mL at 12 weeks post-treatment. There were 102 patients recruited, with a total of 104 treatments administered. Over three-fourths of patients who attended one SMA visit (78 of 102) continued in SMA for the duration of treatment. Of these patients opting for SMA, 99% (77 of 78) completed the full treatment course, and 91% (71 of 78) of SMA patients achieved SVR-12. DAA therapy provided by non-specialist providers using the SMA model yielded comparable response rates to those achieved by specialist providers, and has the potential to substantially increase access to HCV treatment for patient populations within high-risk communities.
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.