Trial reportJournal of medical Internet research2016
The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.
Trial report in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 192 papers, 19 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.
Case Management and Problem Solving Therapy for Depressed, Homebound, Low-Income Elders
Evaluating the Use of a Mobile App to Reduce Symptoms of Depression and Anxiety for Students Seeking Care at Harvard University Health Services
iWellness Study: Evaluation of a CBT Chatbot App to Promote Mental Wellness in Students
Who cites it
192 citing papers in PubMed, 19 syntheses or guidelines pooled it, 416 citations in OpenAlex.
- Effects of working memory training on depressive symptoms: a systematic review and meta-analysis of randomized controlled trials.Translational psychiatry · 2026Pooled it
- Dropout, Attrition, Adherence, and Compliance in Mood Monitoring and Ambulatory Assessment Studies for Depression and Bipolar Disorder: Systematic Review and Meta-Analysis.JMIR mental health · 2026Pooled it
- Smartphone apps for mental health: systematic review of the literature and five recommendations for clinical translation.BMJ open · 2025Pooled it
- Effectiveness of evidence based mental health apps on user health outcome: A systematic literature review.PloS one · 2025Pooled it
- Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- User Engagement With mHealth Interventions to Promote Treatment Adherence and Self-Management in People With Chronic Health Conditions: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Race, Ethnicity, and Other Cultural Background Factors in Trials of Internet-Based Cognitive Behavioral Therapy for Depression: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Pooled it
- Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review.Journal of medical Internet research · 2022Pooled it
- Characteristics of Mobile Health Platforms for Depression and Anxiety: Content Analysis Through a Systematic Review of the Literature and Systematic Search of Two App Stores.Journal of medical Internet research · 2022Pooled it
- Impact of Smartphone App-Based Psychological Interventions for Reducing Depressive Symptoms in People With Depression: Systematic Literature Review and Meta-analysis of Randomized Controlled Trials.JMIR mHealth and uHealth · 2022Pooled it
- Efficacy of web-based self-management interventions for depressive symptoms: a meta-analysis of randomized controlled trials.BMC psychiatry · 2021Pooled it
- Data Missing Not at Random in Mobile Health Research: Assessment of the Problem and a Case for Sensitivity Analyses.Journal of medical Internet research · 2021Pooled it
- A Patient-Oriented App (ThessHF) to Improve Self-Care Quality in Heart Failure: From Evidence-Based Design to Pilot Study.JMIR mHealth and uHealth · 2021Pooled it
- Effectiveness of Smartphone-Based Cognitive Behavioral Therapy Among Patients With Major Depression: Systematic Review of Health Implications.JMIR mHealth and uHealth · 2021Pooled it
- Smartphone applications for depression: a systematic literature review and a survey of health care professionals' attitudes towards their use in clinical practice.European archives of psychiatry and clinical neuroscience · 2020Pooled it
- Training Cognitive Functions Using Mobile Apps in Breast Cancer Patients: Systematic Review.JMIR mHealth and uHealth · 2019Pooled it
- The Use of Mobile Apps and SMS Messaging as Physical and Mental Health Interventions: Systematic Review.Journal of medical Internet research · 2017Pooled it
- Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.Journal of medical Internet research · 2017Pooled it
- Comorbid anxiety predicts lower odds of MDD improvement in a trial of smartphone-delivered interventions.Journal of affective disorders · 2026Trial
132 more citing papers are in PubMed but not listed here.
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 2 institutions in 1 country.
Funding
Abstract
backgroundMobile apps for mental health have the potential to overcome access barriers to mental health care, but there is little information on whether patients use the interventions as intended and the impact they have on mental health outcomes.
objectiveThe objective of our study was to document and compare use patterns and clinical outcomes across the United States between 3 different self-guided mobile apps for depression.
methodsParticipants were recruited through Web-based advertisements and social media and were randomly assigned to 1 of 3 mood apps. Treatment and assessment were conducted remotely on each participant's smartphone or tablet with minimal contact with study staff. We enrolled 626 English-speaking adults (≥18 years old) with mild to moderate depression as determined by a 9-item Patient Health Questionnaire (PHQ-9) score ≥5, or if their score on item 10 was ≥2. The apps were (1) Project: EVO, a cognitive training app theorized to mitigate depressive symptoms by improving cognitive control, (2) iPST, an app based on an evidence-based psychotherapy for depression, and (3) Health Tips, a treatment control. Outcomes were scores on the PHQ-9 and the Sheehan Disability Scale. Adherence to treatment was measured as number of times participants opened and used the apps as instructed.
resultsWe randomly assigned 211 participants to iPST, 209 to Project: EVO, and 206 to Health Tips. Among the participants, 77.0% (482/626) had a PHQ-9 score >10 (moderately depressed). Among the participants using the 2 active apps, 57.9% (243/420) did not download their assigned intervention app but did not differ demographically from those who did. Differential treatment effects were present in participants with baseline PHQ-9 score >10, with the cognitive training and problem-solving apps resulting in greater effects on mood than the information control app (χ22=6.46, P=.04).
conclusionsMobile apps for depression appear to have their greatest impact on people with more moderate levels of depression. In particular, an app that is designed to engage cognitive correlates of depression had the strongest effect on depressed mood in this sample. This study suggests that mobile apps reach many people and are useful for more moderate levels of depression. CLINICALTRIAL: Clinicaltrials.gov NCT00540865; https://www.clinicaltrials.gov/ct2/show/NCT00540865 (Archived by WebCite at http://www.webcitation.org/6mj8IPqQr).
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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.