Computer-Assisted Cognitive-Behavior Therapy and Mobile Apps for Depression and Anxiety
Abstract
Purpose of review We reviewed research on computer-assisted cognitive-behavior therapy (CCBT) and mobile applications with the goals of assessing the effectiveness of these newer methods of delivering or augmenting treatment and making recommendations on the clinical use of computer tools in psychotherapy of depression and anxiety.Recent findings Research on CCBT has found solid evidence for efficacy when the use of a therapeutic computer program is supported by a clinician or other helping professionals. Lower levels of efficacy or ineffectiveness typically have been found when computer programs are used as stand-alone treatments. A large number of mobile apps have been created that claim to be useful for depression and/or anxiety. However, considerable caution is warranted in evaluating mobile apps and recommending them to patients. Research on mobile apps is still in an early stage of development. A number of well-established CCBT programs have been studied in multiple randomized, controlled trials and have been found to be effective. Such programs appear to have adequate quality, security, and efficacy to be used in clinical practice. Mobile apps offer easy portability and immediate access to coping strategies and may be useful for augmenting treatment. But clinicians need to select apps with integrity and reliable content for clinical use.
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Remote delivery of psychological treatment services has been researched; studies conducted before the pandemic found that the efficacy of remote-based treatment services is as high as that of face-to-face treatment programs.
“The remote delivery of psychological treatment services has been researched; studies conducted before the pandemic have found that the efficacy of remote-based treatment services is as high as that of face-to-face treatment programs [9,10].”
Previous studies have suggested that the outcomes of face-to-face interventions and self-help online resources have yielded effective results.
“Previous studies have suggested that the outcomes of face-to-face interventions (ie, in-person or online) and self-help online resources have yielded effective results [9,10].”
Digital mental health treatments for depression and anxiety are effective for mild, moderate, and severe symptoms.
“DMHTs for depression and anxiety are effective for mild, moderate, and severe symptoms (25, 26); moreover, they can be effective across the life span, with a growing number of RCTs indicating effectiveness among children and adolescents (27) as well as older adults (28, 29).”
From Banbury forum consensus statement on the path forward for digital mental health treatment (2021) · cites this paper as [26]
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- Authors
- Wright, J. H., Mishkind, M., Eells, T. D., & Chan, S. R.
- Affiliations
- University of Louisville (US)
- University of Colorado Anschutz (US)
- University of California, San Francisco (US)
- Corresponding author
- Wright, Jesse H.
- Venue
- Current Psychiatry Reports
- Published
- 2019-06-27
- Volume
- 21
- Issue
- 7
- Pages
- 62-62
- ISSN
- 1523-3812 (ISSN-L)
- 1535-1645
- OpenAlex
- W2954876826
- Cited by
- 93
- References
- 71
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 17 · 2023: 13 · 2022: 26 · 2021: 16 · 2020: 10 · 2019: 1
- FWCI
- 1.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Current Psychiatry Reports (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- mobile application, depression, anxiety, digital mental health interventions, augmentation therapy, coping strategies
- MeSH terms
- Anxiety, Cognition, Depression, Humans, Therapy, Computer-Assisted, Cognitive Behavioral Therapy, Treatment Outcome, Mobile Applications
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