ArticleJMIR mHealth and uHealth2017
Users' Adoption of Mental Health Apps: Examining the Impact of Information Cues.
Article in JMIR mHealth and uHealth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05121675 (Investigating How Incentives Impact Engagement With an Online Mental Health Application), which is not on this map. Cited by 35 papers, 1 of them a synthesis that pooled it.
What it found
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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.
Investigating How Incentives Impact Engagement With an Online Mental Health Application (Neuroflow)
Who cites it
35 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.
- 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
- Trial
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- French Version of the User Mobile Application Rating Scale: Adaptation and Validation Study.JMIR mHealth and uHealth · 2024Article
- Design and Development of Mobile Application for Managing Poisoned Patients.Advanced biomedical research · 2024Article
- Compassion apps for better mental health: qualitative review.BJPsych open · 2023Article
- Systematic Evaluation of the Behavior Change Techniques and Quality of Commercially Available Cancer Self-Management Apps.JCO oncology practice · 2023Article
- eHealth interventions for psychiatry in Switzerland and Russia: a comparative study.Frontiers in digital health · 2023Article
- Mobile Health Apps Providing Information on Drugs for Adult Emergency Care: Systematic Search on App Stores and Content Analysis.JMIR mHealth and uHealth · 2022Review
- Process and Information Needs When Searching for and Selecting Apps for Smoking Cessation: Qualitative Study Using Contextual Inquiry.JMIR human factors · 2022Article
- Improving Access to Behavioral Strategies to Improve Mental Well-being With an Entertaining Breakfast Show App: Feasibility Evaluation Study.JMIR formative research · 2022Article
- Digital Companion Choice to Support Teachers' Stress Self-management: Systematic Approach Through Taxonomy Creation.JMIR formative research · 2022Article
- Evidence of User-Expert Gaps in Health App Ratings and Implications for Practice.Frontiers in digital health · 2022Article
- User Reviews of Depression App Features: Sentiment Analysis.JMIR formative research · 2021Article
- Digital Health Literacy in Bipolar Disorder: International Web-Based Survey.JMIR mental health · 2021Article
- Smartphone application for adolescents with anorexia nervosa: an initial acceptability and user experience evaluation.BMC psychiatry · 2021Article
- Determinants of the Use of Health and Fitness Mobile Apps by Patients With Asthma: Secondary Analysis of Observational Studies.Journal of medical Internet research · 2021Article
- Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study.JMIR mHealth and uHealth · 2021Article
- Promoting Health via mHealth Applications Using a French Version of the Mobile App Rating Scale: Adaptation and Validation Study.JMIR mHealth and uHealth · 2021Article
- Impact and Feasibility of Information Technology to Support Adolescent Well-Being and Mental Health at School: A Quasi-Experimental Study.Journal of multidisciplinary healthcare · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous mental health apps have been developed and made available to users on the current app market. Users may find it difficult and overwhelming to select apps from the hundreds of choices that are available in the app marketplace. Clarifying what information cues may impact a user's selection and adoption of mental health apps is now a critical and pressing issue.
objectiveThe aim of this study was to investigate the impact of information cues on users' adoption of anxiety apps using observational data from the Android app market.
methodsA systematic search of anxiety apps was conducted on the Android app store by using keywords search. The title and metadata information of a total of 274 apps that met our criteria were collected and analyzed. Three trained researchers recorded the app rankings from the search results page on different dates and Web browsers.
resultsOur results show that ratings (r=.56, P<.001) and reviews (r=.39, P<.001) have significant positive correlations with the number of installs, and app prices have significant negative correlations with installs (r=-.36). The results also reveal that lower-priced apps have higher ratings (r=-.23, P<.001) and a greater number of app permission requests (r=.18, P=.002) from the device. For app titles, we found that apps with titles related to symptoms have significantly lower installs than apps with titles that are not related to symptoms (P<.001).
conclusionsThis study revealed a relationship between information cues and users' adoption of mental health apps by analyzing observational data. As the first of its kind, we found impactful indicators for mental health app adoptions. We also discovered a labeling effect of app titles that could hinder mental health app adoptions and which may provide insight for future designs of mental health apps and their search mechanisms.
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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.