Date of Award
Tamara Del Vecchio
William F Chaplin
eHealth treatments vary widely from automated treatment protocols to professional-led treatment tools that are integrated into treatment protocols with therapists. This dissertation organized, coded, and submitted 33 eHealth treatment trials to meta-analytic study to assess eHealth treatment study effectiveness overall and for each type of eHealth treatment type. Systematic review and descriptive analyses revealed that eHealth treatments that target externalizing behaviors varied widely in study, sample, and design characteristics. eHealth treatments most frequently targeted externalizing behaviors in adolescent samples (n = 22), adapted cognitive behavior therapy (CBT) to digital platforms (n = 11), and integrated digital tools into traditional treatment protocols (n = 11). eHealth treatments were effective in treating externalizing behaviors overall (d = -.52); a series of 19 meta-analyses split by study characteristics revealed that the strongest effect sizes were observed for eHealth treatments that targeted adolescent externalizing behaviors (d = -.76), used CBT or parent-focused orientations (d = -.11 and d = -1.47), and used included technology-enhanced or professional-led eHealth tools (d = -1.07, d = -.11).
Sangiorgio, Celeste, "EFFECTIVENESS OF E-HEALTH INTERVENTIONS FOR EXTERNALIZING BEHAVIORS: A META-ANALYSIS" (2021). Theses and Dissertations. 333.