Literature DB >> 15930065

Computer-assisted cognitive therapy for depression: maintaining efficacy while reducing therapist time.

Jesse H Wright1, Andrew S Wright, Anne Marie Albano, Monica R Basco, L Jane Goldsmith, Troy Raffield, Michael W Otto.   

Abstract

OBJECTIVE: The aim of this investigation was to compare the efficacy of computer-assisted cognitive therapy against standard cognitive therapy and a control group without treatment for outpatients with nonpsychotic major depressive disorder.
METHOD: Medication-free participants (N=45) with major depressive disorder were randomly assigned to cognitive therapy (N=15), computer-assisted cognitive therapy (N=15), or a wait list (N=15). Both active treatments consisted of nine sessions over 8 weeks. Therapist time was reduced after the first visit for computer-assisted cognitive therapy, with 25-minute sessions rather than 50-minute sessions. Assessments were completed pretreatment, after 4 and 8 weeks of therapy, and 3 and 6 months posttreatment.
RESULTS: Computer-assisted cognitive therapy and standard cognitive therapy were superior to the wait list control group for treatment of depression and did not differ from each other on the primary outcome variables. Very large between-group effect sizes were observed. Improvement in depression for both computer-assisted cognitive therapy and standard cognitive therapy was maintained at the 3- and 6-month follow-up evaluations. Computer-assisted cognitive therapy had more robust effects, relative to being wait-listed, than standard cognitive therapy in reducing measures of cognitive distortion and in improving knowledge about cognitive therapy.
CONCLUSIONS: A multimedia, computer-assisted form of cognitive therapy with reduced therapist contact was as efficacious as standard cognitive therapy. Computer-assisted therapy could decrease costs and improve access to cognitive therapy for depression.

Entities:  

Mesh:

Year:  2005        PMID: 15930065     DOI: 10.1176/appi.ajp.162.6.1158

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  86 in total

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