Abstract
This study evaluated the predictive validity of two automated approaches based on the Addiction Severity Index (ASI) to patient placement criteria. Patients (N = 2,429) in 78 substance abuse treatment programs completed an ASI at intake and were assigned a treatment modality based on availability and clinical considerations. Treatment completion and self-reported abstinence 6 months post-discharge were collected. Two placement approaches were developed using ASI summary score cut points or problem-specific algorithms from ASI items. Both approaches showed evidence of predictive validity. Given the ASI's widespread use in community programs, evidence is provided in support of its ability to inform clinical judgment and implementation of standardized placement.
Acknowledgments
The authors would like to acknowledge the Treatment Outcomes and Performance Pilot Studies–Enhancement (TOPPS II) initiative, specifically Anthony Floyd, Phillip Hall, and Alan West.
This work was supported by the Center for Substance Abuse Treatment, Substance Abuse and Mental Health Services Administration, U.S. Department of Health and Human Services, Utah Consortium TOPPS II Project (Arkansas, New Hampshire, Rhode Island, and Utah), Grant number: UR1TI11621.