ArticleJAMA network open2022
Assessment of Mental Health Services Available Through Smartphone Apps.
Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Smartphone Apps for Cardiovascular and Mental Health Care: Digital Cross-Sectional Analysis.JMIR mHealth and uHealth · 2025Pooled it
- Evaluating Characteristics and Quality of Mental Health Apps Available in App Stores for Indian Users: Systematic App Search and Review.JMIR mHealth and uHealth · 2025Pooled it
- The efficacy of mindfulness apps on symptoms of depression and anxiety: An updated meta-analysis of randomized controlled trials.Clinical psychology review · 2024Pooled it
- Economic Evaluation of a Digital Psychobehavioral Intervention for Chronic Inflammatory Skin Disease (MindMySkin): Protocol for a Trial-Based Cost-Effectiveness Analysis.JMIR research protocols · 2026Article
- "Low Risk, High Happiness": A Review of Openly Declared Ethical and Legal Practices in Voice Biomarker Health-Tech Start-Ups.Health care analysis : HCA : journal of health philosophy and policy · 2026Review
- Digital mental health apps for young people in Europe: A systematic cross-country analysis.PLOS digital health · 2026Article
- Building evidence on digital psychotherapies for adults living with depression: a systematic scoping review of populations, interventions and design features of ongoing and planned randomised controlled trials.BMJ mental health · 2026Article
- Artificial Intelligence in Child and Adolescent Psychiatry: A Narrative Review of Recent Clinical Applications and Ethical Considerations.Current psychiatry reports · 2026Review
- A longitudinal analysis of quality and longevity of mental health apps indexed in MIND, the largest database.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Mental health outcomes and use of online mental health tools following a public health deployment of the mindfulness meditation app headspace.Frontiers in digital health · 2026Article
- The Relationship between Social Media and Schizophrenia and Other Psychotic Disorders: A Systematic Review.Schizophrenia bulletin open · 2026Article
- Internet and Smart Devices Usage and Mental Health in Chinese Older Adults with Chronic Diseases: The Mediating Role of Social Isolation.Psychology research and behavior management · 2026Article
- Development of a Rule-Based Chatbot for Supporting Family Caregivers After Psychiatric Hospital Discharge: An Exploratory Qualitative Study in Indonesia.Journal of multidisciplinary healthcare · 2026Article
- Five years of app evaluation: Insights from a framework in practice - a systematic review on the m-health index and navigation database.Internet interventions · 2025Article
- Accelerating Digital Mental Health: The Society of Digital Psychiatry's Three-Pronged Road Map for Education, Digital Navigators, and AI.JMIR mental health · 2025Article
- Using Digital Technology to Increase Integration of Meditation into Daily Life: The Case for Meditation-Based Ecological Momentary Interventions.Journal of technology in behavioral science · 2025Article
- Mindbench.ai: an actionable platform to evaluate the profile and performance of large language models in a mental healthcare context.NPP - digital psychiatry and neuroscience · 2025Article
- Telehealth and Pharmacotherapy: The Role of Synchronous and Novel Asynchronous Digital Health Tools in Psychiatry.Pharmaceutical medicine · 2025Review
- Smartphone Apps and Digital Tools for Managing Schizophrenia and Psychotic Disorders: A Clinical Review.Focus (American Psychiatric Publishing) · 2025Review
- Virtual Reality for Workplace Violence Training of Health Care Workers: Pilot Mixed Methods Usability Study.JMIR serious games · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: As more patients and clinicians are turning to mental health smartphone apps to expand access to services, little is known about the current state of the app marketplaces and what these apps are actually offering in terms of features, privacy, price, and services. Objective: To assess the current state of mental health apps, explore the association between app privacy scores and popularity as measured by star ratings and downloads, and to understand opportunities and challenges facing the commercial app landscape. Design, Setting, and Participants: This cross-sectional study had trained raters using the public-facing M-Health Index and Navigation Database (MIND) to assess and review 578 mental health apps. The sample of apps used in this analysis were pulled from MIND and include apps across various conditions including schizophrenia, eating disorders, sleep, and more. Analysis of these apps was conducted in June 2022. Exposures: There were 578 mental health apps rated across 105 dimensions derived from the American Psychiatric Association's app evaluation framework. Main Outcomes and Measures: App raters assessed each app across 6 categories: (1) app origin and accessibility, (2) privacy and security, (3) clinical foundation, (4) features and engagement, (5) inputs and outputs, and (6) interoperability. Privacy scores were determined by 5 MIND criteria, including (1) having a privacy policy, (2) reporting security measures in place, (3) declaring data use and purpose, (4) allowing for the deletion of data, and (5) allowing users to opt out of data collection. Correlations between privacy scores and popularity metrics (star ratings and number of downloads) were measured. Results: This study included 578 mental health apps that were identified, assessed, and analyzed across 105 MIND dimensions. Psychoeducation, goal setting, and mindfulness were among the top app features. Of the 578 apps analyzed, 443 (77%) had a privacy policy. This analysis of apps with a privacy policy revealed that there was no statistically significant correlation between privacy scores and Apple App Store (r = 0.058, P = .29) or Google Play Store star ratings (r = 0.041; P = .48). The number of app downloads on the Google Play Store, however, was weakly correlated with privacy scores (χ25 = 22.1; P < .001). Conclusions and Relevance: In this cross-sectional study of mental health apps, findings indicate that the current app marketplaces primarily offered basic features such as psychoeducation, goal tracking, and mindfulness but fewer innovative features such as biofeedback or specialized therapies. Privacy challenges remained common, and app popularity metrics provided little help in identifying apps with more privacy.
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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.