A computer-assisted motivational social network intervention to reduce alcohol, drug and HIV risk behaviors among Housing First residents. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Kennedy, David; Hunter, Sarah; Osilla, Karen; Maksabedian, Ervant; Golinelli, Daniela; Tucker, Joan
• Is Part Of: Addiction science & clinical practice. Volume 11:Issue 1(2016)
• Page Start: 1
• Page End: 13
• Publication Date: 2016-12
• Subjects: Social network intervention -- HIV risk behaviors -- Data visualization -- Alcohol and other drug use -- Homelessness -- Housing First -- Motivational interviewing -- EgoWeb; Drug abuse -- Treatment -- United States -- Periodicals; Drugs -- Research -- United States -- Periodicals; Substance-Related Disorders -- therapy -- Periodicals; Pharmacetical Preparations -- Periodicals; 616.86005
• DOI: 10.1186/s13722-016-0052-y
• Languages: English
• ISSNs: 1940-0640

Abstract

Abstract Background Individuals transitioning from homelessness to housing face challenges to reducing alcohol, drug and HIV risk behaviors. To aid in this transition, this study developed and will test a computer-assisted intervention that delivers personalized social network feedback by an intervention facilitator trained in motivational interviewing (MI). The intervention goal is to enhance motivation to reduce high risk alcohol and other drug (AOD) use and reduce HIV risk behaviors. Methods/design In this Stage 1b pilot trial, 60 individuals that are transitioning from homelessness to housing will be randomly assigned to the intervention or control condition. The intervention condition consists of four biweekly social network sessions conducted using MI. AOD use and HIV risk behaviors will be monitored prior to and immediately following the intervention and compared to control participants' behaviors to explore whether the intervention was associated with any systematic changes in AOD use or HIV risk behaviors. Discussion Social network health interventions are an innovative approach for reducing future AOD use and HIV risk problems, but little is known about their feasibility, acceptability, and efficacy. The current study develops and pilot-tests a computer-assisted intervention that incorporates social network visualizations and MI techniques to reduce high risk AOD use and HIV behaviors among the formerly homeless. ClinicalTrials.gov Identifier NCT02140359.