Quick Screen to Detect Current and Future Substance Use Disorder in Adolescent Females
Keywords:Drug Use Screening Inventory-Revised, substance use disorder, Adolescence, Addiction
AbstractBackground. Prevention of substance use disorder (SUD) is impeded by the large number, complexity and idiosyncratic configuration of etiological factors. Effective prevention of SUD is feasible however when intervention resources are prioritized to individuals who are objectively determined high risk and tailored to their specific characteristics and circumstances.Objective. This study had the aim of developing a rapid accurate screening instrument for determining current presence of and future risk for SUD. Methods. The sample consisted of 182 girls recruited when they were 10-12 years of age and tracked to 22 years of age. From a large item pool the Drug Use Screening Inventory Quick Screen for Females (DQS-F) was derived consisting of the Substance Involvement Index and the Problem Severity Index.Results. The DQS for Females (DQS-F) has high sensitivity for identifying girls who currently qualify for SUD diagnosis. Furthermore, accuracy of predicting future SUD with the DQS-F is in the good range at age 16 and in the very good range at age 19.Conclusions. Requiring only three minutes for administration on the Web the DQS-F is an efficient method for identifying girls requiring thorough assessment prior to implementing individualized intervention.
National Center on Addiction and Substance Abuse (2012). Addiction Medicine. Closing the gap between science and practice. New York: Columbia University,
Zerhouni, E. (2003). The NIH Roadmap. Science 302, 63-64.
Tarter, R. (1990). Evaluation and treatment of adolescent substance abuse: A decision tree method. American Journal of Drug and Alcohol Abuse 16: 1-46.
Kirisci, L., Reynolds, M., Carver, D,. Tarter, R. (2012). Quick screen to detect current substance use disorder in adolescents and the likelihood of future disorder. Drug and Alcohol Dependence 128: 116-122.
Kirisci, L., Mezzich, A., Tarter, R. (1995). Norms and sensitivity of the adolescent version of the Drug Use Screening Inventory. Addictive Behaviors 20:149-157.
Kirisci, L., Tarter, R., Mezzich, A,. Reynolds, M. (2007). Screening current and future diagnosis of psychiatric disorder using the revised Drug Use Screening Inventory. American Journal of Drug and Alcohol Abuse 34: 653-665.
Tarter, R., Kirisci, L. (2001). Validity of the Drug Use Screening Inventory for predicting DSM-III-R substance use disorder. Journal of Adolescent Substance Abuse 10: 45-53.
Tarter, R., Mezzich, A., Kirisci, L., Kaczynski, N. (1994). Reliability of the Drug Use Screening Inventory among adolescent alcoholics. Journal of Child and Adolescent Substance Abuse 3: 25-36.
Chambers, W.J., Puig-Antich, J., Hirsch, M., Paez, P., Ambrosini, P.J., Tabrizi, M.A., & Davies, M. (1985). The assessment of affective disorders in children and adolescents by semistructured interview. Test-retest reliability of the schedule for affective disorders and schizophrenia for school age children, present episode version. Archives of General Psychiatry 42: 696-702.
Spitzer, R.L., Williams, J.B.W., Gibbon, M., & First, M.B. (1990). User’s guide for the structured clinical interview for DSM-III-R. Washington, DC: American Psychiatric Association.
American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (3rd ed., rev.). Washington, DC.
American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed., text rev.). Washington, DC.
Tarter, R., Kirisci, L., Vanyukov, M., Cornelius, J., Pajer, K., Shoal, G., Giancola, P. (2002). Prediction of violent behavior in high risk males between early adolescence and young adulthood. American Journal of Psychiatry 159: 1541-1547.