Evidence map›Paper›PMID 38124995›Full record

ArticleLancet regional health. Americas2024

Implementation of a mobile health clinic framework for Hepatitis C virus screening and treatment: a descriptive study.

Lior Rennert, Kerry A Howard, Caitlin M Kickham, Fatih Gezer, Ashley Coleman, Prerana Roth, Kristie Boswell, Ronald W Gimbel, Alain H Litwin

Open access · goldAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. No Roadblocks: How Mobile Primary Care Navigates Barriers to Health Access.International journal of environmental research and public health · 2026
    Article
  3. Optimizing mobile health clinic placement via geospatial modeling.Public health in practice (Oxford, England) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Lior RennertDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Kerry A HowardDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Caitlin M KickhamClemson Rural Health, Clemson University, Clemson, SC, USA.
Fatih GezerDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Ashley ColemanPrisma Health-Upstate, Greenville, SC, USA.
Prerana RothPrisma Health-Upstate, Greenville, SC, USA.
Kristie BoswellClemson Rural Health, Clemson University, Clemson, SC, USA.
Ronald W GimbelDepartment of Public Health Sciences, Clemson University, Clemson, SC, USA.
Alain H LitwinPrisma Health-Upstate, Greenville, SC, USA.
Clemson University · USPrisma Health · US

Funding

Developing a dynamic modeling framework for surveillance, prediction, and real-time resource allocation to reduce health disparities during Covid-19 and future pandemicsR01LM014193 · NLM · CLEMSON UNIVERSITY · PI Lior Rennert · 2023 to 2026
$2.5M
NLM NIH HHS R01 LM014193
6 · The paper itself

Abstract

Background: Although treatment for Hepatitis C Virus (HCV) is effective, individuals face access barriers. The utility of mobile health clinics (MHC), effective mechanisms for providing healthcare to underserved populations, is understudied for HCV-related interventions. We aimed to describe implementation of, and factors associated with, screening and treatment via MHCs. Methods: Clemson Rural Health implemented a novel MHC program to reach and treat populations at-risk for HCV with a focus on care for uninsured individuals. We examined HCV screening and treatment initiation/completion indicators between May 2021 and January 2023. Findings: Among 607 individuals screened across 31 locations, 94 (15.5%) tested positive via antibody and viral load testing. Treatment initiation and completion rates were 49.6% and 86.0%, respectively. Among those screened, the majority were male (57.5%), White (61.3%; Black/Hispanic: 28.2%/7.7%), and without personal vehicle as primary transportation mode (54.4%). Injection drug use (IDU) was 27.2% and uninsured rate was 42.8%. Compared to HCV-negative, those infected included more individuals aged 30-44 (52.1% vs. 36.4%, Interpretation: The MHC framework successfully reaching its target population: at-risk individuals with access barriers to healthcare. The high HCV screening and treatment initiation/completion rates demonstrate the utility of MHCs as effective and acceptable intervention settings among historically difficult-to-treat populations. Funding: Gilead Sciences, Inc., and SC Center for Rural and Primary Healthcare.

Indexed as

Hepatitis C virusMobile health clinicsPeople who inject drugsUnderserved populationsUninsured populations

Identifiers

PMID38124995
PMCPMC10733089
OpenAlexW4389762054

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.