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Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety
Jesse H Wright1, Matthew Mishkind2, Tracy D Eells3
1University of Louisville, Louisville, KY, USA. jwright@iglou.com.
Current Psychiatry Reports
|June 29, 2019
Summary
Computer-assisted cognitive-behavior therapy (CCBT) is effective for depression and anxiety when clinician-supported. Mobile apps show promise for augmenting treatment but require careful evaluation for clinical use.
Area of Science:
- Psychiatry
- Digital Health
- Behavioral Science
Background:
- Computer-assisted cognitive-behavior therapy (CCBT) and mobile applications represent evolving methods for mental health treatment.
- The integration of digital tools into psychotherapy for depression and anxiety is a growing area of research and clinical interest.
Purpose of the Study:
- To assess the effectiveness of CCBT and mobile applications in delivering or augmenting psychotherapy for depression and anxiety.
- To provide recommendations for the clinical use of computer tools in managing these conditions.
Main Methods:
- Review of existing research on computer-assisted cognitive-behavior therapy (CCBT).
- Evaluation of studies on mobile applications designed for depression and anxiety management.
- Analysis of evidence regarding the efficacy and clinical applicability of digital mental health tools.
Main Results:
- CCBT demonstrates solid efficacy when supported by clinicians, but is less effective as a standalone treatment.
- Numerous mobile apps claim utility for depression and anxiety, yet rigorous research is limited, necessitating caution.
- Established CCBT programs show proven efficacy, quality, security, and suitability for clinical practice.
Conclusions:
- Clinician-supported CCBT is an effective therapeutic option for depression and anxiety.
- Mobile apps can potentially augment treatment due to portability and immediate access to coping strategies.
- Careful selection of high-quality, secure, and evidence-based mobile applications is crucial for effective clinical integration.
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