Evidence map›Paper›PMID 37932493›Full record

Trial reportAIDS and behavior2024

Overall, Direct, Spillover, and Composite Effects of Components of a Peer-Driven Intervention Package on Injection Risk Behavior Among People Who Inject Drugs in the HPTN 037 Study.

Raúl U Hernández-Ramírez, Donna Spiegelman, Judith J Lok, Laura Forastiere, Samuel R Friedman, Carl A Latkin, Sten H Vermund, Ashley L Buchanan

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00038688 (A Phase III Randomized Study to Evaluate the Efficacy of a Network-Oriented Peer Education Intervention for the Prevention of HIV Transmission Among Injection Drug Users and Their Network Members), which is not on this 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.

NCT00038688 phase3completednot on this map

A Phase III Randomized Study to Evaluate the Efficacy of a Network-Oriented Peer Education Intervention for the Prevention of HIV Transmission Among Injection Drug Users and Their Network Members

TypeinterventionalSponsorNational Institute of Allergy and Infectious Diseases (NIAID)Enrolled2,610ConditionsHIV InfectionsArmsPeer HIV Education Program
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. 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

8 authors.

Raúl U Hernández-RamírezDepartment of Biostatistics, Yale School of Public Health, New Haven, USA. raul.hernandezramirez@yale.edu.ORCID http://orcid.org/0000-0001-8272-1474
Donna SpiegelmanDepartment of Biostatistics, Yale School of Public Health, New Haven, USA.
Judith J LokDepartment of Mathematics & Statistics, Boston University, Boston, USA.
Laura ForastiereDepartment of Biostatistics, Yale School of Public Health, New Haven, USA.
Samuel R FriedmanDepartment of Population Health, New York University Grossman School of Medicine, New York, USA.
Carl A LatkinDepartment of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, USA.
Sten H VermundDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, USA.
Ashley L BuchananDepartment of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, USA.

Funding

LOC: HIV Prevention Trials NetworkUM1AI068619 · NIAID · FAMILY HEALTH INTERNATIONAL · PI Sinead Delany-Moretlwe, RAPHAEL J LANDOVITZ · 2011 to 2026
$779.5M
SDMC: HPTN 084 Pregnancy SupplementUM1AI068617 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Elizabeth Renata Brown, Deborah J Donnell · 2011 to 2026
$204.9M
LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI Raul Ulises Hernandez · 2001 to 2026
$48.5M
Comprehensive Translational Science Analytics Tools for the Global Health AgendaDP1ES025459 · NIEHS · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2018
$4.1M
Developing causal inference methods to evaluate and leverage spillover effects through social Interactions for designing improved HIV prevention interventionsR01MH134715 · NIMH · YALE UNIVERSITY · PI Laura Forastiere · 2023 to 2026
$3.1M
New Methods for the design and evaluation of large HIV prevention interventionsR01AI112339 · NIAID · YALE UNIVERSITY · PI SPIEGELMAN, DONNA L · 2014 to 2017
$2.7M
Causal Inference Methods for HIV Prevention Studies Among Networks of People Who Use DrugsDP2DA046856 · NIDA · UNIVERSITY OF RHODE ISLAND · PI BUCHANAN, ASHLEY LYNN · 2018 to 2019
$2.3M
NIAID NIH HHS R01 AI112339NIAID NIH HHS UM1 AI068613NIAID NIH HHS UM1 AI068617NIAID NIH HHS UM1 AI068619NIDA NIH HHS DP2 DA046856NIDA NIH HHS DP2DA046856NIEHS NIH HHS DP1 ES025459NIEHS NIH HHS DP1ES025459NIH HHS UM1AI068613NIH HHS UM1AI068617NIH HHS UM1AI068619NIMH NIH HHS P30 MH062294NIMH NIH HHS P30MH062294NIMH NIH HHS R01 MH134715
6 · The paper itself

Abstract

We sought to disentangle effects of the components of a peer-education intervention on self-reported injection risk behaviors among people who inject drugs (n = 560) in Philadelphia, US. We examined 226 egocentric groups/networks randomized to receive (or not) the intervention. Peer-education training consisted of two components delivered to the intervention network index individual only: (1) an initial training and (2) "booster" training sessions during 6- and 12-month follow up visits. In this secondary data analysis, using inverse-probability-weighted log-binomial mixed effects models, we estimated the effects of the components of the network-level peer-education intervention upon subsequent risk behaviors. This included contrasting outcome rates if a participant is a network member [non-index] under the network exposure versus under the network control condition (i.e., spillover effects). We found that compared to control networks, among intervention networks, the overall rates of injection risk behaviors were lower in both those recently exposed (i.e., at the prior visit) to a booster (rate ratio [95% confidence interval]: 0.61 [0.46-0.82]) and those not recently exposed to it (0.81 [0.67-0.98]). Only the boosters had statistically significant spillover effects (e.g., 0.59 [0.41-0.86] for recent exposure). Thus, both intervention components reduced injection risk behaviors with evidence of spillover effects for the boosters. Spillover should be assessed for an intervention that has an observable behavioral measure. Efforts to fully understand the impact of peer education should include routine evaluation of spillover effects. To maximize impact, boosters can be provided along with strategies to recruit especially committed peer educators and to increase attendance at trainings. Clinical Trials Registration Clinicaltrials.gov NCT00038688 June 5, 2002.

Indexed as

Drug UsersHIV InfectionsSubstance Abuse, IntravenousHumansPeer GroupRisk-TakingInjection risk behaviorsIntervention componentsInverse probability weightingPeer educationSpillover effect

Identifiers

PMID37932493
PMCPMC11062514

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Registered trials

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.