ArticleNeurology(R) neuroimmunology & neuroinflammation2015
Evaluating more naturalistic outcome measures: A 1-year smartphone study in multiple sclerosis.
Article in Neurology(R) neuroimmunology & neuroinflammation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03335618 (A First-in-Kind Randomized, Controlled Pilot Clinical Trial Testing Proactive vs Reactive Management of a Symptom Triad in Multiple Sclerosis), which is not on this map. Cited by 38 papers, 1 of them a synthesis 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.
A First-in-Kind Randomized, Controlled Pilot Clinical Trial Testing Proactive vs Reactive Management of a Symptom Triad in Multiple Sclerosis
Who cites it
38 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis.BMJ open · 2017Pooled it
- Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study.Journal of neurology · 2023Trial
- 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
- Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.JAMA neurology · 2020Trial
- Beyond Relapses: A Multimodal Biomarker Framework for Progression Independent of Relapse Activity and Smouldering Multiple Sclerosis.Brain sciences · 2026Review
- Assessing verbal and spatial memory via smartphone.Frontiers in digital health · 2026Article
- Simulation of Clinical Visits as a Novel Approach to Evaluate Digital Health in Multiple Sclerosis: Simulation Study.JMIR medical informatics · 2025Article
- Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation.Journal of medical Internet research · 2025Article
- Digital Biomarkers and AI for Remote Monitoring of Fatigue Progression in Neurological Disorders: Bridging Mechanisms to Clinical Applications.Brain sciences · 2025Article
- Article
- Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study.Scientific reports · 2024Article
- "Self-care selfies": Patient-uploaded videos capture meaningful changes in dexterity over 6 months.Annals of clinical and translational neurology · 2023Article
- Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective.Journal of medical Internet research · 2023Article
- Decentralised clinical trials in multiple sclerosis research.Multiple sclerosis (Houndmills, Basingstoke, England) · 2023Review
- Remote Testing Apps for Multiple Sclerosis Patients: Scoping Review of Published Articles and Systematic Search and Review of Public Smartphone Apps.JMIR neurotechnology · 2023Review
- Real-life ankle submovements and computer mouse use reflect patient-reported function in adult ataxias.Brain communications · 2023Article
- Impact of Covid-19 emergency on rehabilitation services for Multiple Sclerosis: An international RIMS survey.Multiple sclerosis and related disorders · 2022Article
- Free-Living Motor Activity Monitoring in Ataxia-Telangiectasia.Cerebellum (London, England) · 2022Article
- Remote Assessments of Hand Function in Neurological Disorders: Systematic Review.JMIR rehabilitation and assistive technologies · 2022Review
- Digital Phenotyping in Clinical Neurology.Seminars in neurology · 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
19 authors.
Funding
Abstract
objectiveIn this cohort of individuals with and without multiple sclerosis (MS), we illustrate some of the novel approaches that smartphones provide to monitor patients with chronic neurologic disorders in their natural setting.
methodsThirty-eight participant pairs (MS and cohabitant) aged 18-55 years participated in the study. Each participant received an Android HTC Sensation 4G smartphone containing a custom application suite of 19 tests capturing participant performance and patient-reported outcomes (PROs). Over 1 year, participants were prompted daily to complete one assigned test.
resultsA total of 22 patients with MS and 17 cohabitants completed the entire study. Among patients with MS, low scores on PROs relating to mental and visual function were associated with dropout (p < 0.05). We illustrate several novel features of a smartphone platform. First, fluctuations in MS outcomes (e.g., fatigue) were assessed against an individual's ambient environment by linking responses to meteorological data. Second, both response accuracy and speed for the Ishihara color vision test were captured, highlighting the benefits of both active and passive data collection. Third, a new trait, a person-specific learning curve in neuropsychological testing, was identified using spline analysis. Finally, averaging repeated measures over the study yielded the most robust correlation matrix of the different outcome measures.
conclusionsWe report the feasibility of, and barriers to, deploying a smartphone platform to gather useful passive and active performance data at high frequency in an unstructured manner in the field. A smartphone platform may therefore enable large-scale naturalistic studies of patients with MS or other neurologic diseases.
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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.