Evidence map›Paper›PMID 28433895›Full record

Trial reportDrug and alcohol dependence2017

Evaluating network-level predictors of behavior change among injection networks enrolled in the HPTN 037 randomized controlled trial.

Laramie R Smith, Steffanie A Strathdee, David Metzger, Carl Latkin

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Drug and alcohol dependence, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Interventions for female drug-using offenders.The Cochrane database of systematic reviews · 2019
    Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
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

4 authors at 3 institutions in 1 country.

Laramie R SmithDivision of Global Public Health, University of California San Diego, UCSD School of Medicine, 9500 Gilman Drive #0507, La Jolla, CA, 92093-0507, USA. Electronic address: laramie@ucsd.edu.
Steffanie A StrathdeeDivision of Global Public Health, University of California San Diego, UCSD School of Medicine, 9500 Gilman Drive #0507, La Jolla, CA, 92093-0507, USA. Electronic address: sstrathdee@ucsd.edu.
David MetzgerDepartment of Psychiatry, University of Pennsylvania and The Treatment Research Institute, Perelman School of Medicine, 3400 Civic Center Boulevard, Bldg. 421, Philadelphia, PA, 19104, USA. Electronic address: dsm@mail.med.upenn.edu.
Carl LatkinDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., Baltimore, MD, 21205, USA. Electronic address: carl.latkin@jhu.edu.
University of California, San Diego · USJohns Hopkins University · USUniversity of Pennsylvania · US

Funding

HIV Treatment and Substance Use in LMIC Shaping MSMs Sociostructural ContextK01DA039767 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SMITH, LARAMIE RAE · 2015 to 2019
$906k
HIV Care Utilization: A theory-based approach to retention in careF31MH093264 · NIMH · UNIVERSITY OF CONNECTICUT STORRS · PI SMITH, LARAMIE RAE · 2010 to 2012
$67k
NIDA NIH HHS K01 DA039767NIMHD NIH HHS L60 MD009353NIMH NIH HHS F31 MH093264
6 · The paper itself

Abstract

backgroundLittle is known about ways network-level factors that may influence the adoption of combination prevention behaviors among injection networks, or how network-oriented interventions might moderate this behavior change process.

methodsA total of 232 unique injection risk networks in Philadelphia, PA, were randomized to a peer educator network-oriented intervention or standard of care control arm. Network-level aggregates reflecting the injection networks' baseline substance use dynamics, social interactions, and the networks exposure to gender- and structural-related vulnerabilities were calculated and used to predict changes in the proportion of network members adopting safer injection practices at 6-month follow-up.

resultsAt follow-up, safer injection practices were observed among 46.31% of a network's members on average. In contrast, 25.7% of networks observed no change. Controlling for the effects of the intervention, significant network-level factors influencing network-level behavior change reflected larger sized injection networks (b=2.20, p=0.013) with a greater proportion of members who shared needles (b=0.29, p<0.001) and engaged in poly drug use at baseline (b=6.65, p=0.021). Changes in a network's safer injection practices were also observed for networks with fewer new network members (b=-0.31, p=0.008), and for networks whose members were proportionally less likely to have experienced incarceration (b=-0.20, p=0.012) or more likely to have been exposed to drug treatment (b=0.17, p=0.034) in the 6-months prior to baseline. A significant interaction suggested the intervention uniquely facilitated change in safer injection practices among female-only networks (b=-0.32, p=0.046).

conclusionsNetwork-level factors offer insights into ways injection networks might be leveraged to promote combination prevention efforts.

Indexed as

Peer GroupRisk-TakingSocial SupportAdultBehavior TherapyFemaleFollow-Up StudiesHIV InfectionsHumansInterpersonal RelationsMalePhiladelphiaSubstance Abuse, IntravenousTreatment OutcomeBehavior changeCombination preventionHIVInjection drug useInterventionSocial networks

Identifiers

PMID28433895
PMCPMC5494981
OpenAlexW2604320372

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.