No abstract

Differences in self-reported victimization and outcomes for residential (n = 114) vs. outpatient (n = 73) substance abuse treatment samples were examined. Repeated measures MANOVAs for victimization level by level of care were performed on days of alcohol and marijuana use and substance-related problems. Residential treatment participants reported higher prevalence of victimization and higher levels of general victimization but did not differ on acute (high) victimization at intake. Analyses revealed a significant interaction between follow-up outcomes and level of care for adolescents with acute intake victimization. Adolescents placed in residential treatment were more likely to reduce their days of alcohol and marijuana use and past month substance-related problems at follow-up. Adolescents with low intake levels of victimization did not differ by level of care. Findings suggest that clinicians must carefully weigh placement recommendations for adolescents with maltreatment histories and that researchers should study ways to increase outpatient treatment effectiveness for these adolescents.

States setting up public-sector managed care or revising existing public-sector managed care contracts should ensure that subpopulations of persons at high risk for multiple admissions receive special attention. They should also create networks of inpatient providers to enable frequent users of acute care facilities to return to the same facility that previously discharged them.

Outreach and intervention with out-of-treatment drug users in their natural communities has been a major part of our national HIV-prevention strategy for over a decade. Intervention design and evaluation is complicated because this population has heterogeneous patterns of HIV risk behaviors. The objectives of this paper are to: (a) empirically identify the major HIV risk groups; (b) examine how these risk groups are related to demographics, interactions with others, risk behaviors, and community (site); and (c) evaluate the predictive validity of these risk groups in terms of future risk behaviors. Exploratory cluster analysis of a sample of 4445 out-of-treatment drug users from the national data set identified eight main risk subgroups that could explain over 99% of the variance in the 20 baseline indices of HIV risk. We labeled these risk groups: Primary Crack Users (29.2%), Cocaine and Sexual Risk (12.8%), High Poly Risk Type 2 (0.3%), Poly Drug and Sex Risk (10.9%), Primary Needle Users (24.1%), High Poly Risk Type 1 (1.4%), High Frequency Needle Users (19.8%), and High Risk Needle Users (1.6%). Risk group membership was highly related to HIV characteristics (testing, sero-status), demographics (gender, race, age, education), status (marital, housing, employment, and criminal justice), prior target populations (needle users, crack users, pattern of sexual partners), and geography (site). Risk group membership explained 63% of the joint distribution of the original 20 HIV risk behaviors 6 months later (ranging from 0.03 to 37.2% of the variance individual indices). These analyses were replicated with both another 25% sample from the national data set and an independent sample collected from a new site. These findings suggest HIV interventions could probably be more effective if they targeted specific subgroups and that evaluations would be more sensitive if they consider community and sub-populations when evaluating these interventions.

A quasi-experimental study of involuntary outpatient treatment in Massachusetts is described and analyzed. Results indicate decreased hospital use by the involuntarily treated outpatients, which may or may not be due to the involuntary intervention itself