Computer Informed and Flexible Family-Based Treatment for Adolescents: A Randomized Clinical Trial for at-Risk Racial/Ethnic Minority Adolescents Academic Article uri icon

Overview

MeSH Major

  • African Continental Ancestry Group
  • Behavior Therapy
  • Family Therapy
  • Hispanic Americans
  • Mental Disorders
  • Minority Groups
  • Therapy, Computer-Assisted

abstract

  • Family interventions have been shown to be effective for adolescents with behavior problems. Current literature supports both adaptive treatments and technology-assisted interventions as highly promising innovations for treating at-risk adolescents. The purpose of this investigation was to develop and test the efficacy of a computer-assisted version of an established office-based multicomponent family therapy. Eighty Hispanic and Black Non-Hispanic adolescents and their families participated in the study and were randomized to either Immediate Computer-Assisted CIFFTA or Delayed Computer-Assisted CIFFTA. Significant between-groups effects were found from baseline to posttreatment showing the superiority of the Immediate CA CIFFTA condition on both the Conduct Disorder (B = -5.17, SE = 1.73, p < .01, CI [-8.55, -1.79]) and Socialized Aggression (B = -2.04, SE = .83, p < .05, CI [-3.67, -.41]) subscales of the Revised Behavior Problem Checklist, on the Youth Self Report Externalizing scale (B = -4.22, SE = 1.40, p < .01, CI [-6.95, -1.48]), and on both the parent (B = 1.34, SE = .50, p < .01, CI [.36, 2.32]) and adolescent (B = 1.31, SE = .46, p < .01, CI [.41, 2.21]) reports of the Family Environment Scale‚Äôs family cohesion subscale. Baseline to 6-weeks posttreatment (T1-T3) analyses showed that these significant within-subjects effects were sustained for the treatment group. Results highlight that adolescent behavior problems can be significantly impacted by a computer-assisted intervention that replaces psychoeducational face-to-face meetings with computer-delivered modules.

publication date

  • July 2017

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1016/j.beth.2016.11.001

PubMed ID

  • 28577584

Additional Document Info

start page

  • 474

end page

  • 489

volume

  • 48

number

  • 4