ReviewTranslational behavioral medicine2014
Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations.
Review in Translational behavioral medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 6 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
107 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- A Systematic Review of Cervical Cancer Mobile Applications and a Future Directions for Developers.Asian Pacific journal of cancer prevention : APJCP · 2024Pooled it
- Developing a Comprehensive List of Criteria to Evaluate the Characteristics and Quality of eHealth Smartphone Apps: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Prioritizing the Potential Applications of Mobile-Health in the Iranian Health System.Journal of research in health sciences · 2020Pooled it
- Use of mobile apps and technologies in child and adolescent mental health: a systematic review.Evidence-based mental health · 2019Pooled it
- Criteria for assessing the quality of mHealth apps: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2018Pooled it
- An Evidence-based Guide for Obesity Treatment in Primary Care.The American journal of medicine · 2016Guideline
- Impact of a Mobile Application for Tracking Nausea and Vomiting During Pregnancy (NVP) on NVP Symptoms, Quality of Life, and Decisional Conflict Regarding NVP Treatments: MinSafeStart Randomized Controlled Trial.JMIR mHealth and uHealth · 2022Trial
- Trial
- Can menstrual health apps selected based on users' needs change health-related factors? A double-blind randomized controlled trial.Journal of the American Medical Informatics Association : JAMIA · 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
- Using App Store Reviews to Explore User Experiences and Perceptions of Mental Health Mobile Apps: Qualitative Study.JMIR formative research · 2026Article
- Article
- Mobile App Rating Scale for Health Care Professionals to Assess the Quality of mHealth Apps: Questionnaire Development and Psychometric Analysis.JMIR mHealth and uHealth · 2026Article
- Development and Usability of the "FORTEe Get Strong" App to Promote Physical Activity and Health Awareness in Children and Adolescents With Cancer During Intensive Treatment Using an App-Based Approach: Mixed Methods Study.JMIR serious games · 2026Article
- Development and Validation of a Tri-Language Questionnaire for Usability and Satisfaction of Mobile Health Applications (USHA) for Diabetes Mellitus Management.Journal of medical systems · 2026Article
- Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review.JMIR research protocols · 2025Article
- Cognitive Behavioral Therapy for Insomnia Self-Management Mobile Apps: A Review of Efficacy and Quality.Journal of clinical psychology in medical settings · 2024Review
- Evaluation of Mobile Apps Used among Medical Students for Learning and Education: A Mixed-Method Concurrent Triangulation Approach.Applied clinical informatics · 2024Article
- Assessment of healthcare application quality: Development of a standardized methods for healthcare professionals.MethodsX · 2023Article
- Human-to-Computer Interactivity Features Incorporated Into Behavioral Health mHealth Apps: Systematic Search.JMIR formative research · 2023Article
47 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
6 authors.
Funding
Abstract
Mobile applications (apps) to improve health are proliferating, but before healthcare providers or organizations can recommend an app to the patients they serve, they need to be confident the app will be user-friendly and helpful for the target disease or behavior. This paper summarizes seven strategies for evaluating and selecting health-related apps: (1) Review the scientific literature, (2) Search app clearinghouse websites, (3) Search app stores, (4) Review app descriptions, user ratings, and reviews, (5) Conduct a social media query within professional and, if available, patient networks, (6) Pilot the apps, and (7) Elicit feedback from patients. The paper concludes with an illustrative case example. Because of the enormous range of quality among apps, strategies for evaluating them will be necessary for adoption to occur in a way that aligns with core values in healthcare, such as the Hippocratic principles of nonmaleficence and beneficence.
Indexed as
Identifiers
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.