Evidence map›Paper›PMID 32135398›Full record

ArticleThe International journal on drug policy2020

Individual and network factors associated with HCV treatment uptake among people who inject drugs.

Oluwaseun Falade-Nwulia, Paul Sacamano, Sean D McCormick, Cui Yang, Greg Kirk, David Thomas, Mark Sulkowski, Carl Latkin, Shruti H Mehta

Open access · greenAbstract read
In one paragraph

Article in The International journal on drug policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Will peer-based interventions improve hepatitis C virus treatment uptake among young people who inject drugs?Canadian journal of public health = Revue canadienne de sante publique · 2021
    Article
  17. Article
  18. Article
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Oluwaseun Falade-NwuliaJohns Hopkins University School of Medicine, 725 N. Wolfe Street, Suite 215, Baltimore, MD 21205, USA. Electronic address: ofalade1@jhmi.edu.
Paul SacamanoJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Sean D McCormickJohns Hopkins University School of Medicine, 725 N. Wolfe Street, Suite 215, Baltimore, MD 21205, USA.
Cui YangJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Greg KirkJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
David ThomasJohns Hopkins University School of Medicine, 725 N. Wolfe Street, Suite 215, Baltimore, MD 21205, USA.
Mark SulkowskiJohns Hopkins University School of Medicine, 725 N. Wolfe Street, Suite 215, Baltimore, MD 21205, USA.
Carl LatkinJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Shruti H MehtaJohns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Johns Hopkins University · US

Funding

Vaccine Response and Immunotherapeutics SWGP30AI094189 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Richard E. Chaisson · 2012 to 2026
$67.0M
The AIDS Linked to the Intravenous Experience (ALIVE) StudyU01DA036297 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Gregory D Kirk, Shruti H Mehta · 2014 to 2026
$28.9M
Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Management/Hepatitis C/HIV-infected and Uninfected IDU'sR01DA016065 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2003 to 2018
$8.0M
HIV HCV Coinfection Antiviral Therapy and FibrosisR37DA013806 · NIDA · JOHNS HOPKINS UNIVERSITY · PI THOMAS, DAVID L · 2010 to 2019
$7.0M
Elimination of HCV and related liver disease among HIV-infected and -uninfected people who inject drugsR01DA048063 · NIDA · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta, David L Thomas · 2019 to 2026
$4.2M
Health disparities, stress pathways, and stress-related comorbidities among MSM living with HIVR01MD013495 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A, YANG, CUI · 2018 to 2022
$3.8M
Patient Oriented Research in Hepatitis C-infected Injection Drug UsersK24DA034621 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SULKOWSKI, MARK SEBASTIAN · 2012 to 2022
$1.2M
The impact of social networks on hepatitis C transmission and care access in people who inject drugsK23DA041294 · NIDA · JOHNS HOPKINS UNIVERSITY · PI FALADE-NWULIA, OLUWASEUN · 2016 to 2020
$924k
Patient-Oriented Research and Mentorship in HIV and Non-Communicable DiseasesK24AI118591 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KIRK, GREGORY D · 2015 to 2019
$766k
Using Open Contest and Neuro-Influence Experiment to Develop and Evaluate PrEP Promotion Messages for High Risk MenR34MH116725 · NIMH · RBHS-SCHOOL OF PUBLIC HEALTH · PI YANG, CUI · 2018 to 2020
$696k
NIAID NIH HHS K24 AI118591NIAID NIH HHS P30 AI094189NIDA NIH HHS K23 DA041294NIDA NIH HHS K24 DA034621NIDA NIH HHS R01 DA016065NIDA NIH HHS R01 DA048063NIDA NIH HHS R37 DA013806NIDA NIH HHS U01 DA036297NIDA NIH HHS U01 DA036935NIMHD NIH HHS R01 MD013495NIMH NIH HHS R34 MH116725
6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) treatment uptake among people who inject drugs (PWID), a population with disproportionately high rates of HCV, remains low. Peers have been shown to positively impact a broad range of health outcomes for PWID. There is, however, limited data on the impact of PWID social network members on HCV treatment.

methodsHCV-infected PWID enrolled in an ongoing community-based cohort were recruited as "indexes" to complete an egocentric social network survey. The survey elicited from the index PWID a list of their network members and the index's perception of network member characteristics. Logistic regression analyses were conducted to compare individual and network factors associated with HCV treatment in the index PWID.

resultsAmong 540 HCV-infected PWID, the mean age was 55.7 years and the majority were black (87.2%) and male (69.8%). PWID reported a mean of 4.4 (standard deviation [SD] 3.2) network members, most of whom were relatives (mean 2.2 [SD 1.5]). In multivariable analysis, increasing index age and HIV infection were positively associated with HCV treatment, while drug use and homelessness in the preceding 6 months were negatively associated with HCV treatment. From a network perspective, having at least one network member who regularly talked with the index about seeing their doctor for HIV care was associated with HCV treatment (Adjusted Odds Ratio [AOR] 2.7; 95% Confidence Interval (CI) [1.3, 5.6]). Conversely, PWID who had at least one network member who helped them understand their HCV care were less likely to have been HCV treated (AOR 0.2; CI [0.1, 0.6).

conclusionHCV treatment uptake in this group of PWID appeared to be positively influenced by discussions with network members living with HIV who were in care and negatively influenced by HCV information sharing within PWID networks. These findings underscore the influence of peers on health seeking behaviors of their network members and emphasizes the importance of well-informed peers.

Indexed as

Hepatitis CHIV InfectionsPharmaceutical PreparationsSubstance Abuse, IntravenousCross-Sectional StudiesHepacivirusHumansMaleMiddle AgedPrevalencePharmaceutical PreparationsBarriersFacilitatorsHepatitis CInformational supportPeople who inject drugsSocial network

Identifiers

PMID32135398
PMCPMC7367433
OpenAlexW3010430917

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.