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

Autor/inn/en	Russell, Michael A.; Coatsworth, J. Douglas; Brown, Aaron; Zaharakis, Nikola; Mennis, Jeremy; Rodriguez, Gabriel C.; Mason, Michael J.
Titel	Peer Network Counseling Effects on Substance Use: An Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
Quelle	In: Prevention Science, 24 (2023) 8, S.1510-1522 (13 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Russell, Michael A.)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1389-4986
DOI	10.1007/s11121-022-01468-z
Schlagwörter	Meta Analysis; Comparative Analysis; Substance Abuse; Peer Groups; Counseling Techniques; Counseling Effectiveness; Generalization; Intervention; Adolescents; Young Adults; Drug Use; Prevention; Outcomes of Treatment + Suchen Sie Ihr Suchwort? Meta-analysis; Metaanalyse; Drug use; Drug consomption; Drogenkonsum; Gleichaltrigengruppe; Peer Group; Counseling technique; Counselling technique; Counselling techniques; Beratungsmethode; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Young adult; Junger Erwachsener; Drug consumption; Substance abuse; Prävention; Vorbeugung
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 PNCg 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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01