Evaluating network-level predictors of behavior change among injection networks enrolled in the HPTN 037 randomized controlled trial. (1st June 2017)

• Record Type: Journal Article
• Authors: Smith, Laramie R.; Strathdee, Steffanie A.; Metzger, David; Latkin, Carl
• Is Part Of: Drug and alcohol dependence. Volume 175(2017)
• Page Start: 164
• Page End: 170
• Publication Date: 2017-06-01
• Subjects: HIV -- Combination prevention -- Injection drug use -- Social networks -- Behavior change -- Intervention; Drug abuse -- Periodicals; Alcoholism -- Periodicals; 616.86
• DOI: 10.1016/j.drugalcdep.2017.02.007
• Languages: English
• ISSNs: 0376-8716

Abstract

Highlights: Prospectively examines network-level mechanisms injection risk. Factors affecting instability of network structure affected HIV risk. Network gender composition moderated intervention effect. Abstract: Background: Little 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. Methods: A 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. Results: At 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). Conclusions: Network-level factors offer insights into ways injection networks might be leveraged to promote combination prevention efforts.