Evidence map›Paper›PMID 37967827›Full record

Observational studyAddiction (Abingdon, England)2024

Network centrality and HIV prevention service use among people who inject drugs: Findings from a sociometric network cohort in New Delhi, India.

Neia Prata Menezes, Shruti H Mehta, Amy Wesolowski, Steven J Clipman, Aylur K Srikrishnan, Muniratnam S Kumar, Katie J C Zook, Gregory M Lucas, Carl Latkin, Sunil S Solomon

Abstract readObservational Study
In one paragraph

Observational study in Addiction (Abingdon, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Neia Prata MenezesDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0001-9597-7348
Shruti H MehtaDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Amy WesolowskiDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
Steven J ClipmanDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Aylur K SrikrishnanY. R. Gaitonde Centre for AIDS Research and Education, Chennai, India.
Muniratnam S KumarY. R. Gaitonde Centre for AIDS Research and Education, Chennai, India.
Katie J C ZookDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Gregory M LucasDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-3013-4339
Carl LatkinDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-7931-2116
Sunil S SolomonDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

TRAINEESHIPS IN AIDS PREVENTION STUDIEST32MH019105 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Carol Suzanne Camlin, Glenn-Milo Santos · 1989 to 2026
$15.3M
Strategies to improve the HIV care continuum among key populations in IndiaR01DA041034 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M, MEHTA, SHRUTI H · 2015 to 2021
$6.7M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Individual, Network and Spatial Drivers of HIV and HCV among PWID in IndiaR01DA041736 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SOLOMON, SUNIL SUHAS · 2016 to 2021
$5.0M
Reaching the hardest of the hard-to-reachDP2DA040244 · NIDA · JOHNS HOPKINS UNIVERSITY · PI SOLOMON, SUNIL SUHAS · 2016 to 2023
$2.8M
Molecular Networks and Deep Learning for Targeted HIV Interventions among PWIDDP2DA056130 · NIDA · JOHNS HOPKINS UNIVERSITY · PI CLIPMAN, STEVEN J. · 2022 to 2022
$2.5M
Treatment outcomes and comorbidity in HIV-infected IDUK24DA035684 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LUCAS, GREGORY M · 2014 to 2024
$1.5M
NIAID NIH HHS T32 AI102623NIDA NIH HHS DP2 DA040244NIDA NIH HHS DP2 DA056130NIDA NIH HHS K24 DA035684NIDA NIH HHS L60 DA056996NIDA NIH HHS R01 DA041034NIDA NIH HHS R01 DA041736NIH HHS DP2DA040244NIH HHS DP2DA056130NIH HHS K24DA035684NIH HHS R01DA041034NIH HHS R01DA041736NIH HHS T32AI102623NIMH NIH HHS T32 MH019105
6 · The paper itself

Abstract

BACKGROUND AND

aimsNetwork centrality, an indicator of an individual's importance and potential to drive behavioral change, is rarely used to select peer educators. Individual-level predictors of network centrality might be useful to identify people who inject drugs (PWID) for potential roles as peer navigators or change agents in network-based interventions in settings where sociometric data are unavailable. We assessed the relationship between network centrality and HIV prevention service engagement to determine whether centrally-positioned PWID share measurable commonalities.

designObservational study and survey using baseline data from a sociometric network cohort of PWID, enumerated using network software and biometric data (2017-2020). Network ties corresponded to direct injection partnerships in the prior month.

settingNew Delhi, India.

participantsA total of 2512 PWID who were ≥18 years, provided written informed consent, and reported illicit injection drug use within the 24 months before study enrollment. MEASUREMENTS: Interviewer-administered questionnaires measured demographics and substance use behaviors. Central versus peripheral network position was categorized using betweenness centrality 75

findingsOverall, median age was 26 years (interquartile range 22-34); 99% were male; 628 were classified as central. Compared with PWID at the periphery, central PWID were more likely to use MOUD (aOR: 1.59, 95%CI: 1.30-1.94) and syringe services (aOR: 2.91, 95%CI: 2.25, 3.76) in the prior six months. Findings for HIV testing were inconclusive (aOR: 1.30, 95%CI: 1.00-1.69). The lasso variable selector identified several predictors of network centrality: HIV and hepatitis C infection, number of PWID seen in the prior month, injecting heroin and buprenorphine (vs. heroin only) six months prior, sharing injection equipment six months prior, experiencing drug overdose in the past year, and moderate/severe depression (vs. none/mild). Average agreement between model-predicted vs. observed values was 0.75; area under the receiver operator curve was 0.69.

conclusionsIn a socioeconomic network of people who inject drugs (PWID) in New Delhi, India, there are common characteristics among individuals based on their network position (central vs. peripheral) but individual-level predictors have only moderate predictive accuracy. Although central network members appear to be more likely to use HIV prevention services than peripheral network members, their potential as change agents may be limited by other factors that impede their ability to adopt or promote HIV prevention service use.

Indexed as

Drug UsersHepatitis CHIV InfectionsOpioid-Related DisordersSubstance Abuse, IntravenousAdultFemaleHeroinHumansMalePrevalenceHeroinHIV preventionIndiainjection networkLMICMOUDPWIDsociometric networksyringe services

Identifiers

PMID37967827
PMCPMC11003398

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Registered trials

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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.