Trial reportPeerJ2020
Feasibility of a smartphone app to enhance physical activity in progressive MS: a pilot randomized controlled pilot trial over three months.
Trial report in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 8 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
19 citing papers in PubMed, 8 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Effects of mHealth interventions to prescribe resistance training: a systematic review and meta-analysis of randomized controlled trials.The international journal of behavioral nutrition and physical activity · 2025Pooled it
- Behaviorally Informed Interventions to Promote Activity in the Home and Community for Adults With Neurological Disorders: A Systematic Review and Meta-Analysis.Physical therapy · 2025Pooled it
- Mobile health interventions in multiple sclerosis: A systematic review.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Pooled it
- mHealth Impact on Gait and Dynamic Balance Outcomes in Neurorehabilitation: Systematic Review and Meta-analysis.Journal of medical systems · 2023Pooled it
- Mobile App Interventions for Parkinson's Disease, Multiple Sclerosis and Stroke: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Attrition Within Digital Health Interventions for People With Multiple Sclerosis: Systematic Review and Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Effectiveness of physical activity monitors in adults: systematic review and meta-analysis.BMJ (Clinical research ed.) · 2022Pooled it
- The Effectiveness of Self-Guided Digital Interventions to Improve Physical Activity and Exercise Outcomes for People With Chronic Conditions: A Systematic Review and Meta-Analysis.Frontiers in rehabilitation sciences · 2022Pooled it
- Physical fitness moderates the association between brain network impairment and both motor function and cognition in progressive multiple sclerosis.Journal of neurology · 2023Trial
- Designing a Self-Guided Digital Intervention for Self-Management of Shoulder Pain in People Living With Spinal Cord Injury: Tutorial on Using a Person-Based Approach.JMIR mHealth and uHealth · 2026Article
- From usability to clinical impact: a systematic review of digital technologies for motor rehabilitation in multiple sclerosis.Frontiers in digital health · 2026Review
- A Systematic Review of Digital Health for Non-older Adults with Risk of Sarcopenia.Progress in rehabilitation medicine · 2026Review
- Review
- Article
- Reliability and Construct Validity of a Mobile Application for the Finger Tapping Test Evaluation in People with Multiple Sclerosis.Brain sciences · 2024Article
- At home e-based physical exercise programs in patients with multiple sclerosis: a scoping review.Frontiers in neurology · 2024Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- The effect of exercise and physical activity-interventions on step count and intensity level in individuals with multiple sclerosis: a systematic review and meta-analysis of randomized controlled trials.Frontiers in sports and active living · 2023Review
- Digital health interventions for non-older individuals at risk of frailty: A systematic review and meta-analysis.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeople with chronic progressive multiple sclerosis (CPMS) have limited options in medical treatment. Enhancing physical activity (PA) might promote neuroregeneration in multiple sclerosis (MS) and positively influence disability, thus providing an alternative to medical treatment. Previous studies indicate that evidence-based patient information (EBPI) is essential for inducing behavioral change, e.g. enhancing PA.
objectiveTo investigate feasibility of a smartphone app providing EBPI about the benefit of PA and a simple activity feedback to enhance PA in people with CPMS in a pilot randomized controlled trial over 3 months.
methodsThirty-eight people with CPMS (mean age 51 years, median Expanded Disability Status Scale 4.0) were 1:1 randomized into either a control group (
resultsThe groups showed significant differences in disease duration and PA according to the Godin-Leisure Time Exercise Questionnaire at baseline. After 3 months, we detected no difference in the rate of responders, which was an overall 22%. However, MVPA significantly increased in both groups (
conclusionJust providing information in a multimedia smartphone app did not enhance physical activitiy more than a simple leaflet in this small pilot trial in CPMS. However, the group of app users tended to have a higher motivation towards a more active lifestyle. Overall, the concept of a smartphone app to support an active lifestyle in MS is highly appreciated by participants.
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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.