Individual and social network factors that predict entry to drug treatment.
Prospective data were analyzed to examine individual and social network characteristics that predict entry into drug treatment among a sample of 557 heroin and cocaine users. Entering treatment was associated with being HIV positive [AOR: 2.25, 95% CI: 1.33-3.81] and a history of drug treatment [AOR: 3.41, 95% CI: 2.19-5.31]. Individuals with a greater number of social network members who were in drug treatment [AOR: 1.29, 95% CI: 1.07-1.56] and fewer network members who smoked crack [AOR: 0.86, 95% CI: 0.75-0.99] were more likely to enter treatment. Social network-based interventions that promote successful outcomes in drug treatment are needed.
Davey
Melissa A
MA
Department of Health, Behavior, and Society, Johns Hopkins University, Bloomberg School of Public Health, 1629 East Baltimore Street, Baltimore, MD 21231, USA. mdavey@jhsph.edu
Latkin
Carl A
CA
Hua
Wei
W
Tobin
Karin E
KE
Strathdee
Steffanie
S
D000328:Adult; D015142:Baltimore / Q000453:epidemiology; D003156:Community Mental Health Services / Q000458:organization & administration / Q000706:statistics & numerical data*; D005260:Female; D005500:Follow-Up Studies; D015658:HIV Infections / Q000453:epidemiology / Q000517:prevention & control; D006801:Humans; D008297:Male; D008605:Mental Health Services / Q000706:statistics & numerical data*; D010342:Patient Acceptance of Health Care / Q000706:statistics & numerical data*; D011446:Prospective Studies; D012309:Risk-Taking; D012944:Social Support; D019966:Substance-Related Disorders / Q000534:rehabilitation*