Evidence map›Paper›PMID 36478336›Full record

SynthesisPrevention science : the official journal of the Society for Prevention Research2023

Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials.

Michael A Russell, J Douglas Coatsworth, Aaron Brown, Nikola Zaharakis, Jeremy Mennis, Gabriel C Rodriguez, Michael J Mason

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Prevention science : the official journal of the Society for Prevention Research, 2023. 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
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  3. Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023
    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

7 authors at 4 institutions in 1 country.

Michael A RussellThe Pennsylvania State University, 219 Biobehavioral Health Building, The Pennsylvania State University, University Park, PA, 16803, USA. mar60@psu.edu.ORCID 0000-0002-3956-604X
J Douglas CoatsworthThe University of Tennessee, Knoxville, USA.
Aaron BrownThe University of Kentucky, Lexington, USA.
Nikola ZaharakisThe University of Tennessee, Knoxville, USA.
Jeremy MennisTemple University, Philadelphia, USA.
Gabriel C RodriguezThe Pennsylvania State University, 219 Biobehavioral Health Building, The Pennsylvania State University, University Park, PA, 16803, USA.
Michael J MasonThe University of Tennessee, Knoxville, USA.
University of Tennessee at Knoxville · USPennsylvania State University · USTemple University · USUniversity of Kentucky · US

Funding

Motivational Interviewing Integrated with Social Network Counseling for TeensR34DA032808 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI MASON, MICHAEL JON · 2012 to 2014
$628k
NIDA NIH HHS 1R34DA032808-01A1
6 · The paper itself

Abstract

The current study describes an individual participant data meta-analysis (IPDMA) testing the efficacy of a peer-network counseling (PNC) intervention for preventing substance use escalation in adolescents and young adults. PNC has shown efficacy in reducing substance use among adolescents and young adults across small-scale randomized controlled trials (RCTs). Identifying expected large-scale effects and moderators is an important next step in guiding use of PNC in practice. To this end, we combine three small-scale RCTs to test PNC intervention effects on substance use change in a combined sample of 421 adolescents and young adults (50% intervention, 55% female, 69% Black/African-American, M age [SD] = 17.3 [2.2] years). Our approach combines latent change score modeling in a structural equation modeling (SEM) framework with study-level fixed effects to obtain (a) a more generalizable PNC effect than we could obtain with each constituent sample and (b) greater power and precision for individual-level moderation of treatment effects. We found that although PNC main effects on substance use outcomes (past 30-day cannabis, alcohol, tobacco, and drug use) were not significant, PNC effects were moderated by individual-level pre-intervention substance use frequency. PNC more strongly reduced drug use at the 1-month follow-up and cannabis use at the 3-month follow-up among participants who showed higher baseline use of these substances. Implications of our approach and findings for prevention researchers are discussed.

Indexed as

CannabisSubstance-Related DisordersAdolescentChild, PreschoolCounselingFemaleHumansMalePeer GroupRandomized Controlled Trials as TopicYoung AdultAdolescent and young adult substance useIndividual participant data (IPD) meta-analysisLatent change score modelingPeer network counseling (PNC)

Identifiers

PMID36478336
OpenAlexW4310939816

What OpenQuestion holds

Textmetadata
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.