ReviewJAMIA open2021
Mobile health (mHealth) usage, barriers, and technological considerations in persons with multiple sclerosis: a literature review.
Review in JAMIA open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Evaluating the Adoption of mHealth Technologies by Community Health Workers to Improve the Use of Maternal Health Services in Sub-Saharan Africa: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Health Information Technology Supporting Adherence Memory Disorder Patients: A Systematic Literature Review.Applied clinical informatics · 2024Pooled it
- Monitoring cognition in multiple sclerosis via adaptive smartphone games-first insights from a validation study.Frontiers in digital health · 2026Article
- Mobile Health (mHealth) for Chronic Low Back Pain Assessment: Design, Development, and Usability Evaluation.JOR spine · 2025Article
- Development and Usability of MSafe: A Fall Risk Application for Older Adults with Multiple Sclerosis.Sensors (Basel, Switzerland) · 2025Article
- Article
- CoGames: Development of an adaptive smartphone-based and gamified monitoring tool for cognitive function in Multiple Sclerosis.Journal of neurology · 2025Observational
- Examining the Telehealth Readiness Among Individuals With Multiple Sclerosis.Journal of patient experience · 2025Article
- From implementation to discontinuation: multi-year experience with the multiple sclerosis performance test as a digital monitoring tool.Frontiers in digital health · 2025Article
- Impact of Internet Hospital Consultations on Outpatient Visits and Expenses: Quasi-Experimental Study.Journal of medical Internet research · 2024Article
- User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study.JMIR human factors · 2024Observational
- A scoping review assessing the usability of digital health technologies targeting people with multiple sclerosis.NPJ digital medicine · 2024Article
- Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study.JMIR formative research · 2024Article
- Sufficiency for PSS tracking gait disorders in multiple sclerosis: A managerial perspective.Heliyon · 2024Article
- Comparing the effects of smartphone-based and face-to-face education on the quality of life and coping skills among patients with multiple sclerosis: A randomized controlled trial.Journal of education and health promotion · 2024Article
- Medication self-management toolkits for adults with multiple sclerosis: A scoping review.Exploratory research in clinical and social pharmacy · 2023Article
- Digital health for chronic disease management: An exploratory method to investigating technology adoption potential.PloS one · 2023Article
- Feasibility and scalability of a fitness tracker study: Results from a longitudinal analysis of persons with multiple sclerosis.Frontiers in digital health · 2023Article
- A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation.BMC medical informatics and decision making · 2022Article
- MSProDiscuss™ Clinical Decision Support Tool for Identifying Multiple Sclerosis Progression.Journal of clinical medicine · 2022Review
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 at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesPersons with multiple sclerosis (MS) can face a number of potential healthcare-related barriers, for which mobile health (mHealth) technology can be potentially beneficial. This review aimed to understand the frequency, current uses, and potential barriers with mHealth usage among persons with MS.
methodsA query string was used to identify articles on PubMed, MEDLINE, CINAHL, and IEEE Xplore that were published in English between January 2010 and December 2019. Abstracts were reviewed and selected based on
resultsThe majority of persons with MS were reported as using smartphones, although rates of mHealth utilization varied widely. mHealth usage was grouped into 3 broad categories: (1) disability and symptom measurement; (2) interventions and symptom management; and (3) tracking and promoting adherence. While there have been an increasing number of mHealth options, certain limitations associated with MS (eg, poor dexterity, memory problems) may affect usage, although including persons with MS in the design process can address some of these issues. DISCUSSION: Given the increased attention to mHealth in this population and the current need for telehealth and at home devices, it is important that persons with MS and healthcare providers are involved in the development of new mHealth tools to ensure that the end product meets their needs. Considerations for addressing the potential mHealth use barriers in persons with MS are discussed.
Indexed as
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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.