ReviewJMIR mHealth and uHealth2015
Finding a depression app: a review and content analysis of the depression app marketplace.
Review in JMIR mHealth and uHealth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 11 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
123 citing papers in PubMed, 11 syntheses or guidelines pooled it, 305 citations in OpenAlex.
- Efficacy of Smartphone Apps in Patients With Depressive Disorders: A Systematic Review.Frontiers in psychiatry · 2022Pooled it
- Just-in-Time Adaptive Mechanisms of Popular Mobile Apps for Individuals With Depression: Systematic App Search and Literature Review.Journal of medical Internet research · 2021Pooled it
- Technological State of the Art of Electronic Mental Health Interventions for Major Depressive Disorder: Systematic Literature Review.Journal of medical Internet research · 2020Pooled it
- Mobile Health Technology Interventions for Suicide Prevention: Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Evaluating Commercially Available Mobile Apps for Depression Self-Management.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Pooled it
- The App Behavior Change Scale: Creation of a Scale to Assess the Potential of Apps to Promote Behavior Change.JMIR mHealth and uHealth · 2019Pooled it
- Consumer Smartphone Apps Marketed for Child and Adolescent Anxiety: A Systematic Review and Content Analysis.Behavior therapy · 2018Pooled it
- Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms.Evidence-based mental health · 2017Pooled it
- A Systematic Review of Cognitive Behavioral Therapy and Behavioral Activation Apps for Depression.PloS one · 2016Pooled it
- Pooled it
- Mobile Apps for Bipolar Disorder: A Systematic Review of Features and Content Quality.Journal of medical Internet research · 2015Pooled it
- Assessing the Efficacy of the INTELLECT Cognitive Behavioral Therapy Mobile App for Anxiety and Depressive Symptoms Among At-Risk Japanese Employees: Randomized Controlled Trial.JMIR mHealth and uHealth · 2025Trial
- Evaluation of the Effectiveness of Mobile App-Based Stress-Management Program: A Randomized Controlled Trial.International journal of environmental research and public health · 2019Trial
- Behavioral and cognitive intervention strategies delivered via coached apps for depression: Pilot trial.Psychological services · 2019Trial
- Efficacy of a Web-Based Guided Recommendation Service for a Curated List of Readily Available Mental Health and Well-Being Mobile Apps for Young People: Randomized Controlled Trial.Journal of medical Internet research · 2017Trial
- The Use and Effectiveness of Mobile Apps for Depression: Results From a Fully Remote Clinical Trial.Journal of medical Internet research · 2016Trial
- Evaluation of medical education mobile apps with MARS and MARuL in a TPACK informed model.Scientific reports · 2025Article
- Requirements and Concerns of Individuals Remitted From Depression for an Early Relapse Detection mHealth App: Focus Group Study.JMIR mHealth and uHealth · 2025Article
- Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale.Journal of medical Internet research · 2025Article
- Psychotherapy Access Barriers and Interest in Digital Mental Health Interventions Among Adults With Treatment Needs: Survey Study.JMIR mental health · 2025Article
63 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 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDepression is highly prevalent and causes considerable suffering and disease burden despite the existence of wide-ranging treatment options. Mobile phone apps offer the potential to help close this treatment gap by confronting key barriers to accessing support for depression.
objectivesOur goal was to identify and characterize the different types of mobile phone depression apps available in the marketplace.
methodsA search for depression apps was conducted on the app stores of the five major mobile phone platforms: Android, iPhone, BlackBerry, Nokia, and Windows. Apps were included if they focused on depression and were available to people who self-identify as having depression. Data were extracted from the app descriptions found in the app stores.
resultsOf the 1054 apps identified by the search strategy, nearly one-quarter (23.0%, 243/1054) unique depression apps met the inclusion criteria. Over one-quarter (27.7%, 210/758) of the excluded apps failed to mention depression in the title or description. Two-thirds of the apps had as their main purpose providing therapeutic treatment (33.7%, 82/243) or psychoeducation (32.1%, 78/243). The other main purpose categories were medical assessment (16.9%, 41/243), symptom management (8.2%, 20/243), and supportive resources (1.6%, 4/243). A majority of the apps failed to sufficiently describe their organizational affiliation (65.0%, 158/243) and content source (61.7%, 150/243). There was a significant relationship (χ(2) 5=50.5, P<.001) between the main purpose of the app and the reporting of content source, with most medical assessment apps reporting their content source (80.5%, 33/41). A fifth of the apps featured an e-book (20.6%, 50/243), audio therapy (16.9%, 41/243), or screening (16.9%, 41/243) function. Most apps had a dynamic user interface (72.4%, 176/243) and used text as the main type of media (51.9%, 126/243), and over a third (14.4%, 35/243) incorporated more than one form of media.
conclusionWithout guidance, finding an appropriate depression app may be challenging, as the search results yielded non-depression-specific apps to depression apps at a 3:1 ratio. Inadequate reporting of organization affiliation and content source increases the difficulty of assessing the credibility and reliability of the app. While certification and vetting initiatives are underway, this study demonstrates the need for standardized reporting in app stores to help consumers select appropriate tools, particularly among those classified as medical devices.
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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.