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Computer-assisted cognitive–behavior therapy for depression.

Authors: Tracy D, Eells; Marna S, Barrett; Jesse H, Wright; Michael, Thase;

Computer-assisted cognitive–behavior therapy for depression.

Abstract

This article reviews the use of computer technology in treating depression as a substitute or adjunct for standard therapy. It discusses advantages and disadvantages of introducing computer technology as a treatment option, problems and barriers to expanded use, the varieties of computer-assisted psychotherapy for major depression, and relevant research. Three specific Internet-based programs are described, assessed and compared: Good Days Ahead, Beating the Blues, and MoodGYM. The authors conclude that these and similar programs are promising. Preliminary outcome studies suggest that these programs produce outcome similar to standard therapy, although methodological shortcomings limit confidence in these findings. Suggestions are offered for practitioners considering the addition of computer assistance to their treatment of depression.

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Keywords

Depressive Disorder, Major, Internet, Treatment Outcome, Cognitive Behavioral Therapy, Therapy, Computer-Assisted, Humans, Health Services Accessibility

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    popularity
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    Top 10%
    influence
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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 10%
Top 10%
Top 10%
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