Abstract #301713

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JSM 2003 Abstract #301713
Activity Number: 448
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301713
Title: Retention in Outpatient Substance Abuse Treatment: Multivariate Analysis Using the Alcohol and Drug Services Study (ADSS)
Author(s): Lev S. Sverdlov*+ and Thomas Brady and Leigh Henderson and Sameena M. Salvucci and Serge Sverdlov and Hannah K. Kyeyune and Emmanuel Sikali
Companies: Synectics for Management Decisions, Inc. and SAMHSA and Synectics For Management Decisions, Inc. and Synectics for Management Decisions, Inc. and California Institute of Technology and Synectics for Management Decisions, Inc. and Synectics for Management Decisions, Inc.
Address: 1901 North Moore St., Arlington, VA, 22209-1706,
Keywords: substance abuse ; treatment completion ; length of stay ; survival analysis ; logistic regression ; probit analysis
Abstract:

Using the Alcohol and Drug Services Study (ADSS), a nationwide survey sponsored by the Substance Abuse and Mental Health Services Administration (SAMHSA), the study explored factors affecting retention in substance abuse treatment. A nationally representative sample of clients discharged annually from outpatient non-methadone treatment facilities was included in the study. An analysis of time distributions and logistic regression, survival, and probit analyses were performed using SAS, S-PLUS, WesVar, and SUDAAN. The average length of stay was 166.5 days among women and 147.2 days among men (t=2.72; p=0.009). The length of stay (LOS) was associated with age, primary source of payment, and source of referral. The likelihood of completion was associated with education, primary source of payment, source of referral, and primary drug of abuse. The probability of treatment completion was associated with the number of therapeutic encounters, LOS, their ratio ("intensity of treatment"), and their product ("volume of services"). In the space created by the number of therapeutic encounters and LOS, "optimal zones" were identified in which the probability of completion was maximized.


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