ArticleJMIR mental health2019
Transdiagnostic Mobile Health: Smartphone Intervention Reduces Depressive Symptoms in People With Mood and Psychotic Disorders.
Article in JMIR mental health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02421965 (Comparing Mobile Health), which is not on this map. Cited by 17 papers, 3 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.
Comparing Mobile Health (mHealth) and Clinic-Based Self-Management Interventions for Serious Mental Illness: Patient Engagement, Satisfaction, and Outcomes
Who cites it
17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Internet- and mobile-based anxiety and depression interventions for children and adolescents: efficacy and negative effects - a systematic review and meta-analysis.European child & adolescent psychiatry · 2025Pooled it
- Characteristics and Outcomes of mHealth Interventions in Psychosis: Systematic Mapping Review.Journal of medical Internet research · 2024Pooled it
- Smartphone-based interventions in bipolar disorder: Systematic review and meta-analyses of efficacy. A position paper from the International Society for Bipolar Disorders (ISBD) Big Data Task Force.Bipolar disorders · 2022Pooled it
- A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE.Journal of medical Internet research · 2021Trial
- Using valence and arousal scoring in speech to detect depressive symptoms: A study on family caregivers.PloS one · 2026Article
- Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review.Focus (American Psychiatric Publishing) · 2025Review
- Digital health for early psychosis in Ghana: patient and caregiver needs and preferences.Schizophrenia (Heidelberg, Germany) · 2025Article
- Inclusion of Individuals With Lived Experiences in the Development of a Digital Intervention for Co-Occurring Depression and Cannabis Use: Mixed Methods Investigation.JMIR formative research · 2024Article
- Leveraging Personal Technologies in the Treatment of Schizophrenia Spectrum Disorders: Scoping Review.JMIR mental health · 2024Article
- Developing the Workforce of the Digital Future: mHealth Competency and Fidelity Measurement in Community-Based Care.Journal of technology in behavioral science · 2024Article
- Significant reduction in depressive symptoms among patients with moderately-severe to severe depressive symptoms after participation in a therapist-supported, evidence-based mobile health program delivered via a smartphone app.Internet interventions · 2021Article
- Can Smartphone Apps Assist People with Serious Mental Illness in Taking Medications as Prescribed?Sleep medicine clinics · 2021Review
- Evaluation of Treatment Descriptions and Alignment With Clinical Guidance of Apps for Depression on App Stores: Systematic Search and Content Analysis.JMIR formative research · 2020Article
- Development of an Emotion-Sensitive mHealth Approach for Mood-State Recognition in Bipolar Disorder.JMIR mental health · 2020Article
- Clinician's Guide to Evaluating and Developing eHealth Interventions for Mental Health.Psychiatric research and clinical practice · 2020Article
- Three Questions to Consider Before Applying Ecological Momentary Interventions (EMI) in Psychiatry.Frontiers in psychiatry · 2020Article
- Artificial intelligence in psychiatric education: Enhancing clinical competence through simulation.Industrial psychiatry journalReview
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 3 institutions in 1 country.
Funding
Abstract
backgroundDepression is the most prevalent mental health problem. The need for effective treatments for depression far outstrips the availability of trained mental health professionals. Smartphones and other widely available technologies are increasingly being leveraged to deliver treatments for depression. Whether there are patient characteristics that affect the potency of smartphone interventions for depression is not well understood.
objectiveThis study aimed to evaluate whether patient characteristics including clinical diagnosis, depression severity, psychosis status, and current use of antidepressant medications impact the effects of an evidence-based smartphone intervention on depressive symptoms.
methodsData were collected as part of a 2-arm randomized controlled trial comparing a multimodal smartphone intervention called FOCUS with a clinic-based intervention. Here, we report on 82 participants assigned to 12 weeks of FOCUS treatment. We conducted assessments of depressive symptoms using the Beck Depression Inventory-second edition (BDI-II) at baseline, postintervention (3 months), and follow-up (6 months). We tested for differences in the amount of improvement in BDI-II scores from baseline to posttreatment and 6-month follow-up between each of the following patient subgroups using 2 (group) × 2 (time) mixed effects models: diagnosis (ie, schizophrenia spectrum disorder vs bipolar disorder vs major depressive disorder), depression severity (ie, minimal-mild vs moderate-severe depression), psychosis status (ie, presence vs absence of psychotic symptoms), and antidepressant use (ie, taking antidepressants vs not taking antidepressants).
resultsThe majority of participants were male (60%, 49/82), African American (65%, 53/82), and middle-aged (mean age 49 years), with a high school education or lower (62%, 51/82). There were no differences in patient demographics across the variables that were used to stratify the analyses. There was a significant group × time interaction for baseline depression severity (F
conclusionsOur results suggest that FOCUS can be deployed to treat moderate to severe depressive symptoms among people with schizophrenia spectrum disorders, bipolar disorder, and major depressive disorder, in concert with antidepressant medications or without them, in both people with and without active psychotic symptoms. The study results are consistent with research on transdiagnostic models in psychotherapy and extend our knowledge about the potential of transdiagnostic mobile health.
trial registrationClinicalTrials.gov NCT02421965; http://clinicaltrials.gov/ct2/show/NCT02421965 (Archived by WebCite at http://www.webcitation.org/76pyDlvAS).
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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.