ArticleJMIR mHealth and uHealth2018
Exploring the Specific Needs of Persons with Multiple Sclerosis for mHealth Solutions for Physical Activity: Mixed-Methods Study.
Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04244214 (Pilot Study for the Evaluation of the More Stamina Mobile Application for Fatigue Management in Persons With Multiple Sclerosis), which is not on this map. Cited by 61 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.
Pilot Study for the Evaluation of the More Stamina Mobile Application for Fatigue Management in Persons With Multiple Sclerosis
Who cites it
61 citing papers in PubMed, 3 syntheses or guidelines pooled it, 120 citations in OpenAlex.
- Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach.JMIR medical education · 2024Pooled it
- Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps.JMIR mHealth and uHealth · 2020Pooled it
- Patients' Perceptions of mHealth Apps: Meta-Ethnographic Review of Qualitative Studies.JMIR mHealth and uHealth · 2019Pooled it
- Smartphone based behavioral therapy for pain in multiple sclerosis (MS) patients: A feasibility acceptability randomized controlled study for the treatment of comorbid migraine and ms pain.Multiple sclerosis and related disorders · 2020Trial
- Users' Experiences of a Mobile Health Self-Management Approach for the Treatment of Cystic Fibrosis: Mixed Methods Study.JMIR mHealth and uHealth · 2020Trial
- Implementing Co-innovation to Develop an Accessible, Web-Based Exercise Program for People with Multiple Sclerosis.Archives of rehabilitation research and clinical translation · 2026Article
- User-centered design and formative evaluation of a gait dashboard for multidimensional walking assessment in multiple sclerosis.Frontiers in digital health · 2026Article
- Key Components of Participatory Design Workshops for Digital Health Solutions: Nominal Group Technique and Feasibility Study.Journal of healthcare informatics research · 2025Article
- Recommendations for Successful Development and Implementation of Digital Health Technology Tools.Journal of medical Internet research · 2025Article
- Using codesign workshops to develop a conceptual framework for a mobile health app targeting chronic low back pain self-management.BMJ open · 2025Article
- A qualitative comparison of healthcare practitioners' perceptions regarding fatigue as a symptom in neurological conditions: insights from a tertiary care center in Saudi Arabia.Frontiers in rehabilitation sciences · 2025Article
- Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative 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
- Identifying app components that promote physical activity: a group concept mapping study.PeerJ · 2024Article
- A Brain Computer Interface Neuromodulatory Device for Stroke Rehabilitation: Iterative User-Centered Design Approach.JMIR rehabilitation and assistive technologies · 2023Article
- Implementation of Remote Activity Sensing to Support a Rehabilitation Aftercare Program: Observational Mixed Methods Study With Patients and Health Care Professionals.JMIR mHealth and uHealth · 2023Observational
- An Exploratory Study on the Utility of Patient-Generated Health Data as a Tool for Health Care Professionals in Multiple Sclerosis Care.Methods of information in medicine · 2023Article
- A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study.Methods of information in medicine · 2023Article
- Using Personas in the development of eHealth interventions for chronic pain: A scoping review and narrative synthesis.Internet interventions · 2023Article
- Ethical, Legal, Organisational and Social Issues of Teleneurology: A Scoping Review.International journal of environmental research and public health · 2023Article
1 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
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiple sclerosis (MS) is one of the world's most common neurologic disorders, with symptoms such as fatigue, cognitive problems, and issues with mobility. Evidence suggests that physical activity (PA) helps people with MS reduce fatigue and improve quality of life. The use of mobile technologies for health has grown in recent years with little involvement from relevant stakeholders. User-centered design (UCD) is a design philosophy with the goal of creating solutions specific to the needs and tasks of the intended users. UCD involves stakeholders early and often in the design process. In a preliminary study, we assessed the landscape of commercially available MS mobile health (mHealth) apps; to our knowledge, no study has explored what persons with MS and their formal care providers think of mHealth solutions for PA.
objectiveThe aim of this study was to (1) explore MS-specific needs for MS mHealth solutions for PA, (2) detect perceived obstacles and facilitators for mHealth solutions from persons with MS and health care professionals, and (3) understand the motivational aspects behind adoption of mHealth solutions for MS.
methodsA mixed-methods design study was conducted in Kliniken Valens, Switzerland, a clinic specializing in neurological rehabilitation. We explored persons with MS and health care professionals who work with them separately. The study had a qualitative part comprising focus groups and interviews, and a quantitative part with standardized tools such as satisfaction with life scale and electronic health (eHealth) literacy.
resultsA total of 12 persons with relapsing-remitting MS and 12 health care professionals from different backgrounds participated in the study. Participants were well-educated with an even distribution between genders. Themes identified during analysis were MS-related barriers and facilitators, mHealth design considerations, and general motivational aspects. The insights generated were used to create MS personas for design purposes. Desired mHealth features were as follows: (1) activity tracking, (2) incentives for completing tasks and objectives, (3) customizable goal setting, (4) optional sociability, and (5) game-like attitude among others. Potential barriers to mHealth apps adoption were as follows: (1) rough on-boarding experiences, (2) lack of clear use benefits, and (3) disruption of the health care provider-patient relationship. Potential facilitators were identified: (1) endorsements from experts, (2) playfulness, and (3) tailored to specific persons with MS needs. A total of 4 MS personas were developed to provide designers and computer scientists means to help in the creation of future mHealth solutions for MS.
conclusionsmHealth solutions for increasing PA in persons with MS hold promise. Allowing for realistic goal setting and positive feedback, while minimizing usability burdens, seems to be critical for the adoption of such apps. Fatigue management is especially important in this population; more attention should be brought to this area.
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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.