ArticleJMIR formative research2022
Chatbot-Delivered Cognitive Behavioral Therapy in Adolescents With Depression and Anxiety During the COVID-19 Pandemic: Feasibility and Acceptability Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 49 papers, 14 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.
Acceptability and Effectiveness of an mHealth Intervention to Provide Cognitive Behavioral Therapy (CBT) for Adolescents With Depression/Anxiety
Artificial Intelligence Sleep Chatbot in Emerging Black/African American Adults With Cardiometabolic Risk Factors: a Feasibility Study
Who cites it
49 citing papers in PubMed, 14 syntheses or guidelines pooled it, 107 citations in OpenAlex.
- A systematic review of artificial intelligence in child and adolescent interventions: from psychotherapy to developmental support.European child & adolescent psychiatry · 2026Pooled it
- The use of chatbots as interventions for mental health conditions: scoping review of systematic reviews and meta-analyses.Frontiers in digital health · 2026Pooled it
- The Efficacy of Rule-Based Versus Large Language Model-Based Chatbots in Alleviating Symptoms of Depression and Anxiety: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- The Effectiveness of AI Chatbots in Alleviating Mental Distress and Promoting Health Behaviors Among Adolescents and Young Adults: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Chatbot-Delivered Interventions for Improving Mental Health Among Young People: A Systematic Review and Meta-Analysis.Worldviews on evidence-based nursing · 2025Pooled it
- Effectiveness of AI-Driven Conversational Agents in Improving Mental Health Among Young People: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Next-Generation Cognitive-Behavioral Therapy for Depression: Integrating Digital Tools, Teletherapy, and Personalization for Enhanced Mental Health Outcomes.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Smartphone apps for mental health: systematic review of the literature and five recommendations for clinical translation.BMJ open · 2025Pooled it
- Personalization variables in digital mental health interventions for depression and anxiety in adolescents and youth: a scoping review.Frontiers in digital health · 2025Pooled it
- Exploring the Role of Mobile Apps for Insomnia in Depression: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Effectiveness of internet-based self-help interventions for depression in adolescents and young adults: a systematic review and meta-analysis.BMC psychiatry · 2024Pooled it
- Self-Administered Interventions Based on Natural Language Processing Models for Reducing Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Effectiveness of Online and Remote Interventions for Mental Health in Children, Adolescents, and Young Adults After the Onset of the COVID-19 Pandemic: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Mobile applications in adolescent psychotherapy during the COVID-19 pandemic: a systematic review.Frontiers in public health · 2024Pooled it
- Brief Web-Based Psychological Intervention for Depressive Symptoms Among Chinese Adolescents: Randomized Controlled Trial.JMIR mHealth and uHealth · 2026Trial
- Article
- Effectiveness of AI and rule-based conversational agents for depression, anxiety and stress: A meta-analysis.NPJ digital medicine · 2026Article
- Application and effectiveness of artificial intelligence in adolescent mental health support and therapy: a scoping review.BMC psychiatry · 2026Article
- Article
- Systematic review and meta analysis of chatbots in the management of depressive and anxiety symptoms.NPJ digital medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundSymptoms of depression and anxiety, suicidal ideation, and self-harm have escalated among adolescents to crisis levels during the COVID-19 pandemic. As a result, primary care providers (PCPs) are often called on to provide first-line care for these youth. Digital health interventions can extend mental health specialty care, but few are evidence based. We evaluated the feasibility of delivering an evidence-based mobile health (mHealth) app with an embedded conversational agent to deliver cognitive behavioral therapy (CBT) to symptomatic adolescents presenting in primary care settings during the pandemic.
objectiveIn this 12-week pilot study, we evaluated the feasibility of delivering the app-based intervention to adolescents aged 13 to 17 years with moderate depressive symptoms who were treated in a practice-based research network (PBRN) of academically affiliated primary care clinics. We also obtained preliminary estimates of app acceptability, effectiveness, and usability.
methodsThis small, pilot randomized controlled trial (RCT) evaluated depressive symptom severity in adolescents randomized to the app or to a wait list control condition. The primary end point was depression severity at 4-weeks, measured by the 9-item Patient Health Questionnaire (PHQ-9). Data on acceptability, feasibility, and usability were collected from adolescents and their parent or legal guardian. Qualitative interviews were conducted with 13 PCPs from 11 PBRN clinics to identify facilitators and barriers to incorporating mental health apps in treatment planning for adolescents with depression and anxiety.
resultsThe pilot randomized 18 participants to the app (n=10, 56%) or to a wait list control condition (n=8, 44%); 17 participants were included in the analysis, and 1 became ineligible upon chart review due to lack of eligibility based on documented diagnosis. The overall sample was predominantly female (15/17, 88%), White (15/17, 88%), and privately insured (15/17, 88%). Mean PHQ-9 scores at 4 weeks decreased by 3.3 points in the active treatment group (representing a shift in mean depression score from moderate to mild symptom severity categories) and 2 points in the wait list control group (no shift in symptom severity category). Teen- and parent-reported usability, feasibility, and acceptability of the app was high. PCPs reported preference for introducing mHealth interventions like the one in this study early in the course of care for individuals presenting with mild or moderate symptoms.
conclusionsIn this small study, we demonstrated the feasibility, acceptability, usability, and safety of using a CBT-based chatbot for adolescents presenting with moderate depressive symptoms in a network of PBRN-based primary care clinics. This pilot study could not establish effectiveness, but our results suggest that further study in a larger pediatric population is warranted. Future study inclusive of rural, socioeconomically disadvantaged, and underrepresented communities is needed to establish generalizability of effectiveness and identify implementation-related adaptations needed to promote broader uptake in pediatric primary care.
trial registrationClinicalTrials.gov NCT04603053; https://clinicaltrials.gov/ct2/show/NCT04603053.
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.