ArticleJMIR mHealth and uHealth2019
Assessing the Quality of Mobile Apps Used by Occupational Therapists: Evaluation Using the User Version of the Mobile Application Rating Scale.
Article in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 74 citations in OpenAlex.
- Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review.JMIR mHealth and uHealth · 2021Pooled it
- A Review of Mortality Risk Prediction Models in Smartphone Applications.Journal of medical systems · 2021Pooled it
- Measuring the Quality of Clinical Skills Mobile Apps for Student Learning: Systematic Search, Analysis, and Comparison of Two Measurement Scales.JMIR mHealth and uHealth · 2021Pooled it
- Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation.JMIR mHealth and uHealth · 2021Pooled it
- Evaluation of the effectiveness of the FOCUS ADHD App in monitoring adults with attention-deficit/hyperactivity disorder.European psychiatry : the journal of the Association of European Psychiatrists · 2023Trial
- Chronic pain and mobile health: Are the apps that occupational therapists recommend of high quality?Australian occupational therapy journal · 2026Article
- 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
- A WeChat mini-program-based perioperative cognitive management tool (WACDAM): development and clinical evaluation in elderly patients undergoing oromaxillofacial malignancy surgery-a mixed-methods study.Perioperative medicine (London, England) · 2026Article
- Utilisation of mobile apps in neurological rehabilitation practice among occupational therapists in India: a cross-sectional survey.BMC health services research · 2026Article
- Beyond accessibility: co-designing mHealth to bridge the physical activity gap for people with disabilities.mHealth · 2026Article
- Designing, validation and evaluation of an mHealth app for prenatal health promotion based on the unified theory of acceptance and use of technology: A mixed methods study protocol.Scientific reports · 2025Article
- Usability and Quality of the JoyPop App: Prospective Evaluation Study.JMIR human factors · 2025Article
- The Mobile Applications for Low Back and Neck Pain Therapy: App Review.The archives of bone and joint surgery · 2025Review
- Article
- Persian adaptation and validation of the user version of The Mobile Application Rating Scale (uMARS).PloS one · 2025Article
- Determinants of HIV viral load suppression rates in Amhara region, Ethiopia with a large number of internally displaced people.Journal of migration and health · 2025Article
- Nutrition Management Miniprograms in WeChat: Evaluation of Functionality and Quality.JMIR human factors · 2024Observational
- Utilizing Telemedicine Applications in Celiac Disease and Other Gluten-Free-Diet-Dependent Conditions: Insights from the COVID-19 Pandemic.Healthcare (Basel, Switzerland) · 2024Review
- "Internet+Nursing Service" Mobile Apps in China App Stores: Functionality and Quality Assessment Study.JMIR mHealth and uHealth · 2024Article
- Assessing the Usefulness of Mobile Apps for Noise Management in Occupational Health and Safety: Quantitative Measurement and Expert Elicitation Study.JMIR mHealth and uHealth · 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
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe continuous development of mobile apps has led to many health care professionals using them in clinical settings; however, little research is available to guide occupational therapists (OTs) in choosing quality apps for use in their respective clinical settings.
objectiveThe purpose of this study was to use the user version of the Mobile Application Rating Scale (uMARS) to evaluate the quality of the most frequently noted mobile health (mHealth) apps used by OTs and to demonstrate the utility of the uMARS to assess the quality of mHealth apps.
methodsA previous study surveying OTs' use of apps in therapy compiled a list of apps frequently noted. A total of 25 of these apps were evaluated individually by 2 trained researchers using the uMARS, a simple, multidimensional analysis tool that can be reliably used to evaluate the quality of mHealth apps.
resultsThe top 10 apps had a total quality score of 4.3, or higher, out of 5 based on the mean scores of engagement, functionality, and aesthetics. Apps scored highest in functionality and lowest in engagement. Apps noted most frequently were not always high-quality apps; apps noted least frequently were not always low-quality apps.
conclusionsDetermining the effectiveness of using apps in clinical settings must be built upon a foundation of the implementation of high-quality apps. Mobile apps should not be incorporated into clinical settings solely based on frequency of use. The uMARS should be considered as a useful tool for OTs, and other professionals, to determine app quality.
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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.