ReviewJournal of personalized medicine2020
A Research on the Classification and Applicability of the Mobile Health Applications.
Review in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05102968 (Using a Mobile APP to Support Home-based Rehabilitation for Patients With Rotator Cuff Tear After Arthroscopic Repair), which is not on this map. Cited by 44 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.
Using a Mobile APP to Support Home-based Rehabilitation for Patients With Rotator Cuff Tear After Arthroscopic Repair
Who cites it
44 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Mobile applications in adolescent psychotherapy during the COVID-19 pandemic: a systematic review.Frontiers in public health · 2024Pooled it
- Systematic Literature Review of Text Messaging Interventions to Promote Medication Adherence Among People With Serious Mental Illness.Psychiatric services (Washington, D.C.) · 2022Pooled it
- Persuasive Technology in an mHealth App Designed for Pelvic Floor Muscle Training Among Women: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Managing BMI and Emotional Distress Using mHealth: Nationally Representative Survey Study.JMIR mHealth and uHealth · 2026Article
- Smartphone Apps for Cannabis Cessation: Quality Assessment and Content Analysis.JMIR mHealth and uHealth · 2026Article
- A dataset of paired smartphone and BioPlux accelerometer measurements for vertical jump analysis.Scientific data · 2026Article
- Pharos: a mobile GIS application for network assessment and ground-truth mapping to support mHealth study design in low-resource settings.International journal of geographical information science : IJGIS · 2026Article
- Article
- Evaluating a mobile-enhanced cognitive behavioral therapy program for university students with irritable bowel syndrome.Internet interventions · 2026Article
- Article
- Smartphone Application-Based Rehabilitation Program for Older Adults With Type 2 Diabetes Mellitus: Insights From the Design, Development, and Validation.Journal of diabetes science and technology · 2025Article
- Value of a quality label and European healthcare professionals' willingness to recommend health apps: An experimental vignette study.Journal of health psychology · 2025Article
- Factors Associated With the Intention to Use mHealth Among Thai Middle-Aged Adults and Older Adults: Cross-Sectional Study.JMIR human factors · 2025Article
- PEDIATRIX SAFE KIDS: Serious Game on the safety of pediatric patients.Revista da Escola de Enfermagem da U S P · 2025Article
- Negotiating pricing and payment terms for insurance covered mHealth apps: a qualitative content analysis and taxonomy development based on a German experience.Health economics review · 2024Article
- Gamified Mobile App (MobERAS) for Telemonitoring Patients in the Postoperative Period Based on the Enhanced Recovery after Surgery Program: Development and Validation Study.JMIR perioperative medicine · 2024Article
- Artificial Intelligence and Healthcare: A Journey through History, Present Innovations, and Future Possibilities.Life (Basel, Switzerland) · 2024Review
- Integration of digital health applications into the German healthcare system: development of "The DiGA-Care Path".Frontiers in health services · 2024Article
- Systematic Review of Usability Factors, Models, and Frameworks with Blockchain Integration for Secure Mobile Health (mHealth) Applications.Blockchain in healthcare today · 2024Review
- Using a Hybrid Neural Network and a Regularized Extreme Learning Machine for Human Activity Recognition with Smartphone and Smartwatch.Sensors (Basel, Switzerland) · 2023Article
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 health applications are applied for different purposes. Healthcare professionals and other users can use this type of mobile applications for specific tasks, such as diagnosis, information, prevention, treatment, and communication. This paper presents an analysis of mobile health applications used by healthcare professionals and their patients. A secondary objective of this article is to evaluate the scientific validation of these mobile health applications and to verify if the results provided by these applications have an underlying sound scientific foundation. This study also analyzed literature references and the use of mobile health applications available in online application stores. In general, a large part of these mobile health applications provides information about scientific validation. However, some mobile health applications are not validated. Therefore, the main contribution of this paper is to provide a comprehensive analysis of the usability and user-perceived quality of mobile health applications and the challenges related to scientific validation of these mobile applications.
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.