ReviewCurrent psychiatry reports2018
Digital Technologies in the Treatment of Anxiety: Recent Innovations and Future Directions.
Review in Current psychiatry reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07247955 (Effectiveness of the Guided and Traditional Cognitive Behavioral Therapy Protocol in a Patient With Treatment-resistant Panic Disorder), which is not on this map. Cited by 28 papers, 6 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effectiveness of the Guided and Traditional Cognitive Behavioral Therapy Protocol in a Patient With Treatment-resistant Panic Disorder
Who cites it
28 citing papers in PubMed, 6 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Could the use of web-based applications assist in neuropsychiatric treatment? An umbrella review.BMC psychology · 2025Pooled it
- Digital Mental Health Interventions for Alleviating Depression and Anxiety During Psychotherapy Waiting Lists: Systematic Review.JMIR mental health · 2024Pooled it
- Smartphone-Delivered Attentional Bias Modification Training for Mental Health: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Self-Management of Subclinical Common Mental Health Disorders (Anxiety, Depression and Sleep Disorders) Using Wearable Devices.International journal of environmental research and public health · 2023Pooled it
- Online group therapies for anxiety, obsessive-compulsive, and trauma-related disorders: a systematic review.Frontiers in human neuroscience · 2023Pooled it
- Condom application skills and self-efficacy in youth: A systematic review and meta-analysis.PloS one · 2021Pooled it
- Evaluating the Effects of a Self-Help Mobile Phone App on Worry and Rumination Experienced by Young Adults: Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- Clinical Efficacy and Psychological Mechanisms of an App-Based Digital Therapeutic for Generalized Anxiety Disorder: Randomized Controlled Trial.Journal of medical Internet research · 2021Trial
- The effectiveness of an online interdisciplinary intervention for mental health promotion: a randomized controlled trial.BMC psychology · 2021Trial
- Digital Cognitive Behavioral Therapy for Panic Disorder and Agoraphobia: A Meta-Analytic Review of Clinical Components to Maximize Efficacy.Journal of clinical medicine · 2025Review
- Article
- Implementing a digital solution for patients with migraine-Developing a methodology for comparing digitally delivered treatment with conventional treatment: A study protocol.PLOS digital health · 2024Article
- The Relationship between Technology Addiction and Attitude toward Reading: An Investigation on Pre-Service Teachers.Behavioral sciences (Basel, Switzerland) · 2023Article
- Editorial: Neuroplasticity in cognitive and psychological mechanisms of anxiety.Frontiers in molecular neuroscience · 2023Article
- Operationalizing Engagement With an Interpretation Bias Smartphone App Intervention: Case Series.JMIR mental health · 2022Article
- Health-Related Quality of Life Among Members Using an On Demand Behavioral Health Platform: Pilot Observational Study.JMIR formative research · 2022Article
- Article
- Digital Health Interventions for Delivery of Mental Health Care: Systematic and Comprehensive Meta-Review.JMIR mental health · 2022Review
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 7 institutions in 4 countries.
Funding
Abstract
purpose of reviewThis review aims to provide a comprehensive overview of the efficacy, limitations, and future of e-health treatments for anxiety. Within this, we provide detail on "first-generation" e-health approaches, such as computerized therapies. Additionally, we assess the emergence and early efficacy of newer methods of treatment delivery, including smartphone apps and virtual reality interventions, discussing the potential and pitfalls for each. RECENT
findingsThere is now substantial clinical research demonstrating the efficacy of internet-delivered cognitive behavioral therapy in the treatment of anxiety. However, the ability of these interventions for engaging patients in "real-world" settings is unclear. Recently, smartphone apps for anxiety have presented a more popular and ubiquitous method of intervention delivery, although the evidence base supporting these newer approaches drastically falls behind the extensive marketing and commercialization efforts currently driving their development. Meanwhile, the increasing availability of novel technologies, such as "virtual reality" (VR), introduces further potential of e-health treatments for generalized anxiety and anxiety-related disorders such as phobias and obsessive compulsive disorder, while also creating additional challenges for research. Although still in its infancy, e-health research is already presenting several promising avenues for delivering effective and scalable treatments for anxiety. Nonetheless, several important steps must be taken in order for academic research to keep pace with continued technological advances.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.