Literature DB >> 24059735

Computer-assisted cognitive-behavior therapy for depression.

Tracy D Eells1, Marna S Barrett2, Jesse H Wright1, Michael Thase2.   

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. (c) 2014 APA, all rights reserved.

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Year:  2013        PMID: 24059735     DOI: 10.1037/a0032406

Source DB:  PubMed          Journal:  Psychotherapy (Chic)        ISSN: 0033-3204


  22 in total

Review 1.  Computer-Assisted Cognitive-Behavior Therapy in Medical Care Settings.

Authors:  Jesse H Wright; Laura W McCray; Tracy D Eells; Rangaraj Gopalraj; Laura B Bishop
Journal:  Curr Psychiatry Rep       Date:  2018-09-07       Impact factor: 5.285

2.  Pregnancy and the Acceptability of Computer-Based Versus Traditional Mental Health Treatments.

Authors:  Liisa Hantsoo; Jessica Podcasy; Mary Sammel; Cynthia Neill Epperson; Deborah R Kim
Journal:  J Womens Health (Larchmt)       Date:  2017-04-20       Impact factor: 2.681

3.  Computer-Assisted CBT and Mobile Apps for Depression: Assessment and Integration Into Clinical Care.

Authors:  Jesse H Wright; Matthew Mishkind
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

Review 4.  Canadian Network for Mood and Anxiety Treatments (CANMAT) 2016 Clinical Guidelines for the Management of Adults with Major Depressive Disorder: Section 2. Psychological Treatments.

Authors:  Sagar V Parikh; Lena C Quilty; Paula Ravitz; Michael Rosenbluth; Barbara Pavlova; Sophie Grigoriadis; Vytas Velyvis; Sidney H Kennedy; Raymond W Lam; Glenda M MacQueen; Roumen V Milev; Arun V Ravindran; Rudolf Uher
Journal:  Can J Psychiatry       Date:  2016-08-02       Impact factor: 4.356

5.  Challenges of Mood Disorders Care.

Authors: 
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

6.  Computerized Cognitive Behavioral Therapy for Treatment of Depression in Multiple Sclerosis: A Narrative Review of Current Findings and Future Directions.

Authors:  Adrianna Ratajska; Jonathan Zurawski; Brian Healy; Bonnie I Glanz
Journal:  Int J MS Care       Date:  2019 May-Jun

7.  Internet-delivered cognitive behavioral therapies for late-life depressive symptoms: a systematic review and meta-analysis.

Authors:  Xiaoling Xiang; Shiyou Wu; Ashley Zuverink; Kathryn N Tomasino; Ruopeng An; Joseph A Himle
Journal:  Aging Ment Health       Date:  2019-03-27       Impact factor: 3.658

8.  Validity study of Patient Health Questionnaire-9 items for Internet screening in depression among Chinese university students.

Authors:  Na Du; Kexin Yu; Yan Ye; Shulin Chen
Journal:  Asia Pac Psychiatry       Date:  2016-11-07       Impact factor: 2.538

9.  Improving Cost-effectiveness and Access to Cognitive Behavior Therapy for Depression: Providing Remote-Ready, Computer-Assisted Psychotherapy in Times of Crisis and Beyond.

Authors:  Michael E Thase; Paul McCrone; Marna S Barrett; Tracy D Eells; Stephen R Wisniewski; G K Balasubramani; Gregory K Brown; Jesse H Wright
Journal:  Psychother Psychosom       Date:  2020-05-12       Impact factor: 17.659

10.  Improving the Efficiency of Psychotherapy for Depression: Computer-Assisted Versus Standard CBT.

Authors:  Michael E Thase; Jesse H Wright; Tracy D Eells; Marna S Barrett; Stephen R Wisniewski; G K Balasubramani; Paul McCrone; Gregory K Brown
Journal:  Am J Psychiatry       Date:  2017-10-03       Impact factor: 18.112

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