Computer therapy for the anxiety and depression disorders is effective, acceptable and practical health care: An updated meta-analysis.
By G. Andrews, A. Basu, Pim Cuijpers, Michelle G. Craske, Peter M. McEvoy, C. L. English, J. Newby. Journal of Anxiety Disorders, 2018
799 citations recorded by the source corpus.
BACKGROUND A 2010 meta-analysis of internet-delivered CBT (iCBT) RCTs argued 'computer therapy for the anxiety and depressive disorders was effective, acceptable and practical health care' without data on effectiveness or practicality in routine practice. METHODS Databases, reviews and meta-analyses were searched for randomised controlled trials of cCBT or iCBT versus a control group (care as usual, waitlist, information control, psychological placebo, pill placebo, etc.) in people who met diagnostic criteria for major depression, panic disorder, social anxiety disorder or generalised anxiety disorder. Number randomised, superiority of treatment versus control (Hedges'g) on primary outcome measure, length of follow-up, follow up outcome, patient adherence and satisfaction/harm were extracted; risk of bias was assessed. A search for studies on effectiveness of iCBT in clinical practice was conducted. RESULTS 64 trials were identified. The mean effect size (efficacy) was g = 0.80 (NNT 2.34), and benefit was evident across all four disorders. Improvement was maintained at follow-with good acceptability. Research probity was good, and bias risk low. In addition, nine studies comparing iCBT with traditional face-to-face CBT and three comparing iCBT with bibliotherapy were identified. All three modes of treatment delivery appeared equally beneficial. The results of effectiveness studies were congruent with the results of the efficacy trials. LIMITATIONS Studies variably measured changes in quality of life and disability, and the lack of comparisons with medications weakens the field. CONCLUSIONS The conclusions drawn in the original meta-analysis are now supported: iCBT for the anxiety and depressive disorders is effective, acceptable and practical health care.
Subfields: Applied Psychology, General Health Professions, Social Psychology
View Paper: https://www.semanticscholar.org/paper/25e9ee98a1af8d2780ac3e1f687ebc40ebd1b47c
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In Applied Psychology
In General Health Professions
In Social Psychology
Citations in the corpus
- The promise of machine learning in predicting treatment outcomes in psychiatry (2021, background): “In recent years, online delivery of mental health interventions has been seen as a promising approach to reducing barriers to care, with growing evidence for the effectiveness of both guided and unguided delivery 77,78 .”
- Digital Mental Health Interventions for Depression, Anxiety, and Enhancement of Psychological Well-Being Among College Students: Systematic Review (2018, positive): “Similar to what has been observed in digital mental health intervention programs for general adult populations [22,134], there were notable rates of participant attrition and early program discontinuation in many of the studies.”
- Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021, background): “For example, a review in 2018 found that participant adherence to internet-delivered cognitive behavioral therapy (CBT) can range from 6% to 100% [10].”
- An Empathy-Driven, Conversational Artificial Intelligence Agent (Wysa) for Digital Mental Well-Being: Real-World Data Evaluation Mixed-Methods Study (2018, background): “Guided internet-based self-help interventions have been observed to have positive effects on patients with symptoms of depression and to reduce risk of symptom deterioration [18-22].”
- Evidence on Digital Mental Health Interventions for Adolescents and Young People: Systematic Overview (2020, background): “The effectiveness of cCBT in the adult population has also been established [48,49].”