Cognitive-behavioral therapy (CBT) is the most effective nonpharmacological treatment for almost all mental disorders, especially anxiety and depression. The treatment is time limited, encourages self-help skills, is problem focused, is inductive, and requires that individuals develop and practice skills in their own environment through homework. However, most of those with mental health issues are unable to seek help because of factors related to treatment availability, accessibility, and cost. CBT is well suited to computerization and is easy to teach to nurses. In this article we describe outcome studies of computer-assisted CBT (cCBT), outline the current technologies available, discuss concerns and resistance associated with computerized therapy, and consider the role of nurses in using cCBT.
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http://dx.doi.org/10.3928/02793695-20090527-01 | DOI Listing |
Clin Psychol Psychother
December 2024
Lyssn.io, Seattle, Washington, USA.
Although clinician-supported computer-assisted cognitive-behaviour therapy (CCBT) is well established as an effective treatment for depression and anxiety, less is known about the specific interventions used during coaching sessions that contribute to outcomes. The current study used artificial intelligence (AI) to identify specific components of clinician-supported CCBT and correlated those scores with therapy outcomes. Data from a randomized clinical trial comparing clinician-supported CCBT with treatment as usual in a primary care setting were utilized.
View Article and Find Full Text PDFClin Psychol Rev
December 2024
Center for Global Mental Health Research, National Institute of Psychiatry Ramón de la Fuente Muñiz, Mexico City, Mexico.
Although the short-term efficacy of internet-delivered cognitive-behavioral therapy (i-CBT) is well-established, its long-term efficacy remains understudied. Robust variance estimation meta-analysis was thus conducted across guided and self-guided i-CBT, synthesizing data from 154 randomized controlled trials (N = 45,335) with ≥ 12-month follow-ups. For binary outcomes, guided (52.
View Article and Find Full Text PDFJ Psychiatr Res
December 2024
Anxiety Disorders Center, The Institute of Living/Hartford Hospital, 200 Retreat Avenue, Hartford, CT, 06106, United States; Yale University School of Medicine, 333 Cedar St, New Haven, CT, 06510, United States.
Hoarding disorder (HD) is maintained by maladaptive beliefs about possessions, and recent research has demonstrated that changes in these beliefs partially mediate improvement in cognitive-behavioral therapy (CBT) for hoarding. It is not yet known whether changes in neural activity, particularly when discarding possessions, are associated with cognitive change during CBT for HD. Adults who completed group CBT for HD (N = 58) participated in a simulated discarding task before and after CBT.
View Article and Find Full Text PDFBMC Psychiatry
August 2024
Centre for Mental Health Research, National Centre for Epidemiology and Population Health, The Australian National University, Canberra, Australia.
Background: The acquisition of knowledge and use of skills from digital mental health interventions (DMHIs) are considered important for effectiveness. However, our understanding of user experiences implementing skills learned from these interventions is limited, particularly outside of research trials. This qualitative study aimed to investigate how community users learn and apply knowledge and skills from DMHIs based on cognitive behavioural therapy (CBT) in daily life.
View Article and Find Full Text PDFCan J Psychiatry
January 2025
Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.
Objectives: Heavy alcohol and drug use is reported by a substantial number of Canadians; yet, only a minority of those experiencing substance use difficulties access specialized services. Computer-Based Training for Cognitive Behavioural Therapy (CBT4CBT) offers a low-cost method to deliver accessible and high-quality CBT for substance use difficulties. To date, CBT4CBT has primarily been evaluated in terms of quantitative outcomes within substance use disorder (SUD) samples in the United States.
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