ArticleJournal of healthcare engineering2021
A Smartphone-based Application for Self-Management in Multiple Sclerosis.
Article in Journal of healthcare engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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
8 citing papers in PubMed, 21 citations in OpenAlex.
- Effects of a Self-Management Telehealth Program on Improving Strength and Hand Function in Systemic Sclerosis Patients: A Randomized Controlled Trial.Life (Basel, Switzerland) · 2025Article
- Impact of family-oriented gamification on self-management of people with multiple sclerosis: a mixed-methods study protocol.BMJ open · 2025Article
- Application of telemedicine in fatigue management for patients with multiple sclerosis: A scoping review.PloS one · 2025Article
- A Mobile Application to Assist Alzheimer's Caregivers During COVID-19 Pandemic: Development and Evaluation.Journal of caring sciences · 2023Article
- Medication self-management toolkits for adults with multiple sclerosis: A scoping review.Exploratory research in clinical and social pharmacy · 2023Article
- A mobile app (IDoThis) for multiple sclerosis self-management: development and initial evaluation.BMC medical informatics and decision making · 2022Article
- Telemedicine as a strategic intervention for cognitive rehabilitation in MS patients during COVID-19.Acta neurologica Belgica · 2022Review
- A Clinical Data Management System for Diabetes Clinical Trials.Journal of healthcare engineering · 2022Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Multiple sclerosis (MS) is a chronic inflammation of the central nervous system and self-management is necessary for MS patients. The purpose of the present study was to develop a smartphone-based application for self-management in multiple sclerosis. Methods: This research was conducted in two phases. In the first phase, users' requirements were investigated by using a questionnaire. The participants were 120 MS patients and six neurologists. In the second phase, a prototype of the application was designed and its usability was evaluated by using QUIS questionnaire. Results: Most of the proposed educational content, data elements, and the application functions, such as medication time reminder, assessing the severity of fatigue, and calculating the score of the Fatigue Severity Scale were found necessary to be included in the application. Finally, the usability of the application was evaluated by the users and the average of mean values was 7.6 out of 9 which indicated a "good" level of user satisfaction. Conclusions: The application designed in this study was able to collect patient data and facilitated consulting physicians at the point of need. It is expected that the patients' quality of life and health status can be improved by using this application. However, more research is required to investigate the efficiency and effectiveness of this application in terms of reducing the number of visits to the medical centers, improving self-management skills of MS patients and their quality of life.
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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.