ArticleFrontiers in psychiatry2022
mHealth Solutions for Mental Health Screening and Diagnosis: A Review of App User Perspectives Using Sentiment and Thematic Analysis.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital front door technologies to pre-assess people before assessment for NHS Talking Therapies [HTE10055]: early value assessment.Health technology assessment (Winchester, England) · 2026Pooled it
- Interventions Based on Biofeedback Systems to Improve Workers' Psychological Well-Being, Mental Health, and Safety: Systematic Literature Review.Journal of medical Internet research · 2025Pooled it
- Mental Health Monitoring in Esports Athletes Using an mHealth App: Requirements Analysis and Usability Study.JMIR human factors · 2026Article
- Managing BMI and Emotional Distress Using mHealth: Nationally Representative Survey Study.JMIR mHealth and uHealth · 2026Article
- Feasibility of smartphone-based digital phenotyping to measure visual function and mental health outcomes in patients with inherited retinal diseases.NPJ digital medicine · 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
- User Satisfaction With Pregnancy Management Apps in Mainland China: User-Generated Content Analysis and Text Mining Study.Journal of medical Internet research · 2025Article
- Preferences for Mobile Apps That Aim to Modify Alcohol Use: Thematic Content Analysis of User Reviews.JMIR mHealth and uHealth · 2025Article
- Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations.Journal of medical Internet research · 2024Article
- Development of a Short-Form Hwa-Byung Symptom Scale Using Machine Learning Approaches.Diagnostics (Basel, Switzerland) · 2024Article
- Family member and service provider experiences and perspectives of a digital surveillance and service navigation approach in multicultural context: a qualitative study in identifying the barriers and enablers to Watch Me Grow-Electronic (WMG-E) program with a culturally diverse community.BMC health services research · 2024Article
- Mobile Apps to Support Mental Health Response in Natural Disasters: Scoping Review.Journal of medical Internet research · 2024Article
- Perception of Apps for Mental Health Assessment With Recommendations for Future Design: United Kingdom Semistructured Interview Study.JMIR formative research · 2024Article
- School-based management of type 1 diabetes in the Republic of Ireland: a cross-sectional mixed-methods analysis.Irish journal of medical science · 2023Article
- Asynchronous Technologies in Mental Health Care and Education.Current treatment options in psychiatry · 2023Review
- Exploring how informed mental health app selection may impact user engagement and satisfaction.PLOS digital health · 2023Article
- Conceptual model of Remotely Accessed Mobile Application for Psychiatric disorder Screening (RoAdMAPS): a self-screening and referral aid for mental health in India.The Lancet regional health. Southeast Asia · 2023Article
- Learnings from user feedback of a novel digital mental health assessment.Frontiers in psychiatry · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mental health screening and diagnostic apps can provide an opportunity to reduce strain on mental health services, improve patient well-being, and increase access for underrepresented groups. Despite promise of their acceptability, many mental health apps on the market suffer from high dropout due to a multitude of issues. Understanding user opinions of currently available mental health apps beyond star ratings can provide knowledge which can inform the development of future mental health apps. This study aimed to conduct a review of current apps which offer screening and/or aid diagnosis of mental health conditions on the Apple app store (iOS), Google Play app store (Android), and using the m-health Index and Navigation Database (MIND). In addition, the study aimed to evaluate user experiences of the apps, identify common app features and determine which features are associated with app use discontinuation. The Apple app store, Google Play app store, and MIND were searched. User reviews and associated metadata were then extracted to perform a sentiment and thematic analysis. The final sample included 92 apps. 45.65% (
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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.