ArticleJournal of medical Internet research2022
Human Support in App-Based Cognitive Behavioral Therapies for Emotional Disorders: Scoping Review.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 5 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 5 syntheses or guidelines pooled it, 53 citations in OpenAlex.
- A systematic review and Bayesian network meta-analysis on the efficacy and potential of mobile interventions for stress management.Nature human behaviour · 2025Pooled it
- Could the use of web-based applications assist in neuropsychiatric treatment? An umbrella review.BMC psychology · 2025Pooled it
- Applications for the management of Attention Deficit Hyperactivity Disorder: a systematic review.Frontiers in public health · 2025Pooled it
- Attrition in Conversational Agent-Delivered Mental Health Interventions: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Providing Human Support for the Use of Digital Mental Health Interventions: Systematic Meta-review.Journal of medical Internet research · 2023Pooled it
- Enhancing Engagement, Practice Integration, and Skill Learning in Mobile Technology-Delivered Interventions Using Human Support: Randomized Controlled Trial With Depressed College Students.JMIR formative research · 2025Trial
- Capitalizing on natural language processing (NLP) to automate the evaluation of coach implementation fidelity in guided digital cognitive-behavioral therapy (GdCBT).Psychological medicine · 2025Trial
- Digital cognitive behavioral therapy vs education for pain in adults with sickle cell disease.Blood advances · 2024Trial
- Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone App-Led Cognitive Behavioral Therapy for Depression Under Therapist Supervision: Open Trial.JMIR mental health · 2024Trial
- LiveWell, a smartphone-based self-management intervention for bipolar disorder: Intervention participation and usability analysis.Journal of affective disorders · 2024Trial
- Increased prevalence of depressive symptoms and stress in patients with chronic bothersome tinnitus during the COVID-19 pandemic.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Effect of Mobile Application-Based Cognitive Behavioural Therapy on Atopic Dermatitis Comorbid With Obsessive-Compulsive Disorder: A Retrospective Study.Actas espanolas de psiquiatria · 2026Article
- SAFEGUARD: Transforming Military Suicide Prevention Through Predictive Analytics and Targeted Interventions.Current psychiatry reports · 2026Review
- A mixed methods evaluation of a pilot open trial of a mentor-guided digital intervention for youth anxiety.PLOS digital health · 2026Article
- Usability, adherence and efficacy of coach-augmented dHealth cognitive behavioural therapy for insomnia in South African sexual assault survivors: a pilot study.Frontiers in psychiatry · 2026Article
- Development and usability evaluation of an audio-based cognitive behavioral therapy mobile app for depression in hemodialysis patients.BMC psychology · 2025Article
- Acceptability of a Conversational Agent-Led Digital Program for Anxiety: Mixed Methods Study of User Perspectives.JMIR human factors · 2025Article
- Examining State Affective and Cognitive Outcomes Following Brief Mobile Phone-Based Training Sessions to Reduce Anxious Interpretations.Cognitive therapy and research · 2025Article
- The evolving field of digital mental health: current evidence and implementation issues for smartphone apps, generative artificial intelligence, and virtual reality.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2025Article
- Program evaluation of internet-delivered cognitive behavioral treatments for anxiety and depression in a digital clinic.Journal of mood and anxiety disorders · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSmartphone app-based therapies offer clear promise for reducing the gap in available mental health care for people at risk for or people with mental illness. To this end, as smartphone ownership has become widespread, app-based therapies have become increasingly common. However, the research on app-based therapies is lagging behind. In particular, although experts suggest that human support may be critical for increasing engagement and effectiveness, we have little systematic knowledge about the role that human support plays in app-based therapy. It is critical to address these open questions to optimally design and scale these interventions.
objectiveThe purpose of this study is to provide a scoping review of the use of human support or coaching in app-based cognitive behavioral therapy for emotional disorders, identify critical knowledge gaps, and offer recommendations for future research. Cognitive behavioral therapy is the most well-researched treatment for a wide range of concerns and is understood to be particularly well suited to digital implementations, given its structured, skill-based approach.
methodsWe conducted systematic searches of 3 databases (PubMed, PsycINFO, and Embase). Broadly, eligible articles described a cognitive behavioral intervention delivered via smartphone app whose primary target was an emotional disorder or problem and included some level of human involvement or support (coaching). All records were reviewed by 2 authors. Information regarding the qualifications and training of coaches, stated purpose and content of the coaching, method and frequency of communication with users, and relationship between coaching and outcomes was recorded.
resultsOf the 2940 titles returned by the searches, 64 (2.18%) were eligible for inclusion. This review found significant heterogeneity across all of the dimensions of coaching considered as well as considerable missing information in the published articles. Moreover, few studies had qualitatively or quantitatively evaluated how the level of coaching impacts treatment engagement or outcomes. Although users tend to self-report that coaching improves their engagement and outcomes, there is limited and mixed supporting quantitative evidence at present.
conclusionsDigital mental health is a young but rapidly expanding field with great potential to improve the reach of evidence-based care. Researchers across the reviewed articles offered numerous approaches to encouraging and guiding users. However, with the relative infancy of these treatment approaches, this review found that the field has yet to develop standards or consensus for implementing coaching protocols, let alone those for measuring and reporting on the impact. We conclude that coaching remains a significant hole in the growing digital mental health literature and lay out recommendations for future data collection, reporting, experimentation, and analysis.
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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.