Evidence map›Paper›PMID 34156077›Full record

ArticleJournal of public health (Oxford, England)2022

HepCCATT: a multilevel intervention for hepatitis C among vulnerable populations in Chicago.

Sandra Tilmon, A Aronsohn, B Boodram, L Canary, S Goel, T Hamlish, S Kemble, D S Lauderdale, J Layden, K Lee and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of public health (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 89% 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

2 citing papers in PubMed, 0 citations in OpenAlex.

  1. Review
  2. Article
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

17 authors at 7 institutions in 1 country.

Sandra TilmonAcademic Pediatrics, University of Chicago Medicine, Chicago, IL 60637, USA.ORCID 0000-0002-1990-1197
A AronsohnGastroenterology, University of Chicago Medicine, Chicago, IL 60637, USA.
B BoodramDepartment of Public Health, University of Illinois at Chicago, Chicago, IL 60607, USA.
L CanaryCDC: Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC, Atlanta, GA 30329, USA.
S GoelDivision of General Internal Medicine and Geriatrics, Northwestern University (Medicine), Chicago, IL 60611 USA.
T HamlishCancer Center, University of Illinois at Chicago, Chicago, IL 60612 USA.
S KembleHawaii Department of Health, Honolulu, HI 96813, USA.
D S LauderdalePublic Health Sciences, University of Chicago Medicine, Chicago, IL 60637.
J LaydenIllinois Department of Public Health, West Chicago, IL 60185, USA.
K LeeAcademic Pediatrics, University of Chicago Medicine, Chicago, IL 60637, USA.
A J MillmanCDC: Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC, Atlanta, GA 30329, USA.
N NelsonCDC: Division of Viral Hepatitis, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC, Atlanta, GA 30329, USA.
K RitgerChicago Department of Public Health, Chicago, IL 60604, USA.
I RodriguezAcademic Pediatrics, University of Chicago Medicine, Chicago, IL 60637, USA.
N ShurupovaMedical Research Analytics and Informatics Alliance (MRAIA), Chicago, IL 60606, USA.
J WolfCaring Ambassadors Program, Oregon City, OR 97045, USA.
D JohnsonAcademic Pediatrics, University of Chicago Medicine, Chicago, IL 60637, USA.
University of Chicago · USNational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USChicago Department of Public Health · USUniversity of Illinois Chicago · USHawaii Department of Health · USIllinois Department of Public Health · USNorthwestern University · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI ELBERT S. HUANG · 2011 to 2026
$10.0M
HEPATITIS C COMMUNITY ALLIANCE FOR TESTING AND TREATMENT IN CHICAGO (HepCCATT)U51PS004607 · PS · UNIVERSITY OF CHICAGO · PI JOHNSON, DANIEL · 2014 to 2015
$3.1M
CDC HHS 5U51PS004607-02Intramural CDC HHS CC999999NCHHSTP CDC HHS U51 PS004607NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

backgroundHepatitis C infection could be eliminated. Underdiagnosis and lack of treatment are the barriers to cure, especially for vulnerable populations (i.e. unable to pay for health care).

methodsA multilevel intervention from September 2014 to September 2019 focused on the providers and organizations in 'the safety net' (providing health care to populations unable to pay), including: (i) public education, (ii) training for primary care providers (PCPs) and case managers, (iii) case management for high-risk populations, (iv) policy advice and (v) a registry (Registry) for 13 health centers contributing data. The project tracked the number of PCPs trained and, among Registry sites, the number of people screened, engaged in care (i.e. clinical follow-up after diagnosis), treated and/or cured.

resultsIn Chicago, 215 prescribing PCPs and 56 other health professionals, 86% of whom work in the safety net, were trained to manage hepatitis C. Among Registry sites, there was a 137% increase in antibody screening and a 32% increase in current hepatitis C diagnoses. Engagement in care rose by 18%.

conclusionsHepatitis C Community Alliance to Test and Treat (HepCCATT) successfully targeted safety net providers and organizations with a comprehensive care approach. While there were challenges, HepCCATT observed increased hepatitis C screening, diagnosis and engagement in care in the Chicago community.

Indexed as

Hepatitis CVulnerable PopulationsChicagoHepacivirusHumansMass Screeningdisease registrieshealth servicesliver disorders

Identifiers

PMID34156077
PMCPMC8692481
OpenAlexW3175665577

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.