ArticleJMIR mental health2023
A Novel and Integrated Digitally Supported System of Care for Depression and Anxiety: Findings From an Open Trial.
Article in JMIR mental health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis 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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Harnessing digital health interventions to address the heterogeneity of depression: a systematic review.Frontiers in digital health · 2025Pooled it
- Does mental health coaching improve efficacy of transcranial magnetic stimulation for major depression? A pilot randomized controlled trial and benchmarking study.Journal of affective disorders · 2026Trial
- Predicting response to a smartphone-based cognitive-behavioral therapy for body dysmorphic disorder.Journal of affective disorders · 2024Trial
- Measurement-Based Mental Health Care for Adolescents in Africa: Protocol for a Computerized Adaptive Test.JMIR research protocols · 2026Article
- Identifying Patients at Risk for Psychotherapy Dropout in Community Settings.JAMA network open · 2026Article
- A mixed-methods evaluation of a psychosocial intervention to reduce mental health stigma among university students.Discover mental health · 2026Article
- Developing a Text Messaging Intervention to Increase Uptake of the Screening and Treatment for Anxiety and Depression Program Among Community College Students: Formative Study Using a Human-Centered Design Approach.JMIR formative research · 2026Article
- Interplay of academic stress, digital fatigue, and loneliness in predicting university students' mental health in the post-COVID era.Discover mental health · 2026Article
- Peer Mentor Training and Supervision for a Digital Adolescent Depression Treatment in South Africa and Uganda: Mixed Methods Evaluation.JMIR mental health · 2026Article
- Editorial: AI with insight: explainable approaches to mental health screening and diagnostic tools in healthcare.Frontiers in medicine · 2026Article
- Anxiety and depression in emerging adults: The STAND program as a model of scalable screening and intervention.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Review
- Adapting digital anxiety treatments to reduce anorexia nervosa relapse.Journal of affective disorders · 2025Article
- Use of Online Tools for Mental Health Among Racially and Ethnically Diverse College Students: Mixed Methods Study.JMIR human factors · 2025Article
- Digital Mental Health Interventions for Young People Aged 16-25 Years: Scoping Review.Journal of medical Internet research · 2025Article
- Testing the Feasibility, Acceptability, and Potential Efficacy of an Innovative Digital Mental Health Care Delivery Model Designed to Increase Access to Care: Open Trial of the Digital Clinic.JMIR mental health · 2025Article
- Digital Technologies and Student Mental Health: Risks of Social Media and the Promise of Virtual Reality and Autonomous Sensory Meridian Response Interventions.Psychology research and behavior management · 2025Article
- Article
- Strengthening mental health among university students.Frontiers in psychology · 2025Article
- Hybrid care in mental health: a framework for understanding care, research, and future opportunities.NPP - digital psychiatry and neuroscience · 2024Review
- Precision Mental Health and Data-Informed Decision Support in Psychological Therapy: An Example.Administration and policy in mental health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely.
objectiveThis article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students.
methodsUS-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness.
resultsNearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated.
conclusionsSTAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.
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.