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Initial Validation of a Computerized Adaptive Test for Substance Use Disorder Identification in Adolescents.
Adams, Zachary W; Hulvershorn, Leslie A; Smoker, Michael P; Marriott, Brigid R; Aalsma, Matthew C; Gibbons, Robert D.
Afiliação
  • Adams ZW; Department of Psychiatry, Indiana University, Indianapolis, IN, USA.
  • Hulvershorn LA; Department of Psychiatry, Indiana University, Indianapolis, IN, USA.
  • Smoker MP; Department of Psychiatry, Indiana University, Indianapolis, IN, USA.
  • Marriott BR; Department of Psychiatry, Indiana University, Indianapolis, IN, USA.
  • Aalsma MC; Department of Pediatrics, Indiana University, Indianapolis, IN, USA.
  • Gibbons RD; Departments of Medicine and Public Health Sciences, The University of Chicago Biological Sciences, Chicago, IL, USA.
Subst Use Misuse ; 59(6): 867-873, 2024.
Article em En | MEDLINE | ID: mdl-38270342
ABSTRACT

PURPOSE:

Computerized adaptive tests (CATs) are highly efficient assessment tools that couple low patient and clinician time burden with high diagnostic accuracy. A CAT for substance use disorders (CAT-SUD-E) has been validated in adult populations but has yet to be tested in adolescents. The purpose of this study was to perform initial evaluation of the K-CAT-SUD-E (i.e., Kiddy-CAT-SUD-E) in an adolescent sample compared to a gold-standard diagnostic interview.

METHODS:

Adolescents (N = 156; aged 11-17) with diverse substance use histories completed the K-CAT-SUD-E electronically and the substance related disorders portion of a clinician-conducted diagnostic interview (K-SADS) via tele-videoconferencing platform. The K-CAT-SUD-E assessed both current and lifetime overall SUD and substance-specific diagnoses for nine substance classes.

RESULTS:

Using the K-CAT-SUD-E continuous severity score and diagnoses to predict the presence of any K-SADS SUD diagnosis, the classification accuracy ranged from excellent for current SUD (AUC = 0.89, 95% CI = 0.81, 0.95) to outstanding (AUC = 0.93, 95% CI = 0.82, 0.97) for lifetime SUD. Regarding current substance-specific diagnoses, the classification accuracy was excellent for alcohol (AUC = 0.82), cannabis (AUC = 0.83) and nicotine/tobacco (AUC = 0.90). For lifetime substance-specific diagnoses, the classification accuracy ranged from excellent (e.g., opioids, AUC = 0.84) to outstanding (e.g., stimulants, AUC = 0.96). K-CAT-SUD-E median completion time was 4 min 22 s compared to 45 min for the K-SADS.

CONCLUSIONS:

This study provides initial support for the K-CAT-SUD-E as a feasible accurate diagnostic tool for assessing SUDs in adolescents. Future studies should further validate the K-CAT-SUD-E in a larger sample of adolescents and examine its acceptability, feasibility, and scalability in youth-serving settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cannabis / Transtornos Relacionados ao Uso de Substâncias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: Subst Use Misuse Assunto da revista: TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Cannabis / Transtornos Relacionados ao Uso de Substâncias Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Adolescent / Adult / Humans Idioma: En Revista: Subst Use Misuse Assunto da revista: TRANSTORNOS RELACIONADOS COM SUBSTANCIAS Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos