Evidence map›Paper›PMID 32515747›Full record

ArticleJMIR mHealth and uHealth2020

Feasibility of a Home-Based Tablet App for Dexterity Training in Multiple Sclerosis: Usability Study.

Judith Jantine Willemijn van Beek, Erwin Everardus Henri van Wegen, Marc Berend Rietberg, Thomas Nyffeler, Stephan Bohlhalter, Christian Philipp Kamm, Tobias Nef, Tim Vanbellingen

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07193602 (Home-based Virtual Reality), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT07193602 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Home-based Virtual Reality (VR) Headset-based Dexterity Training in Multiple Sclerosis: a Randomized-controlled Trial

TypeinterventionalSponsorChristian KammRan2026 to 2028Enrolled60ConditionsMultiple SclerosisArmsVR-based dexterity training in MS, mediation program
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Development of a new immersive virtual reality (VR) headset-based dexterity training for patients with multiple sclerosis: Clinical and technical aspects.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024
    Article
  5. Article
  6. Review
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Judith Jantine Willemijn van BeekNeurocenter, Lucerne Cantonal Hospital, Lucerne, Switzerland.ORCID 0000-0001-9008-0777
Erwin Everardus Henri van WegenDepartment of Rehabilitation Medicine, Amsterdam Movement Sciences, Multiple Sclerosis Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Medical Center, Amsterdam, Netherlands.ORCID 0000-0002-7920-9995
Marc Berend RietbergDepartment of Rehabilitation Medicine, Amsterdam Movement Sciences, Multiple Sclerosis Center Amsterdam, Amsterdam University Medical Centers, Vrije Universiteit Medical Center, Amsterdam, Netherlands.ORCID 0000-0002-0257-7431
Thomas NyffelerNeurocenter, Lucerne Cantonal Hospital, Lucerne, Switzerland.ORCID 0000-0003-2504-8935
Stephan BohlhalterNeurocenter, Lucerne Cantonal Hospital, Lucerne, Switzerland.ORCID 0000-0002-0723-8164
Christian Philipp KammNeurocenter, Lucerne Cantonal Hospital, Lucerne, Switzerland.ORCID 0000-0002-3906-0161
Tobias NefGerontechnology and Rehabilitation Group, University of Bern, Bern, Switzerland.ORCID 0000-0002-8069-9450
Tim VanbellingenNeurocenter, Lucerne Cantonal Hospital, Lucerne, Switzerland.ORCID 0000-0002-0884-2005
University of Bern · CHAmsterdam University Medical Centers · NLUniversity of Lucerne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPersons with multiple sclerosis (MS) often experience dexterous difficulties during the performance of activities of daily living, such as fastening buttons, handling coins, or writing, therefore impacting their health-related quality of life. Mobile health (mHealth) solutions, such as tablet apps, may be used to train impaired dexterous skills. The feasibility of a tablet app-based dexterity home-based intervention in MS (TAD-MS) has not been explored yet in persons with MS.

objectiveThe aim of this pilot study was to evaluate the feasibility and usability of home-based dexterity training with a tablet app in both persons with MS and healthy subjects.

methodsA total of 9 persons with MS, aged 35-71 years, with an Expanded Disability Status Scale score between 2 and 7.5, performed the TAD-MS for 4 weeks, five times a week, with each training session lasting approximately 30 minutes. Participants' impaired dexterity was measured by the Nine-Hole Peg Test. A total of 10 age-matched healthy subjects also tested and rated the usability of the app. Outcome measures were the adherence rate as well as usability measured by the System Usability Scale and a Custom User Engagement Questionnaire (CUEQ).

resultsHigh feasibility of the tablet app-based dexterity training program was shown by a 97% adherence rate to the training protocol (ie, mean 19.4/20 sessions completed, SD 0.8). High system usability scores (ie, mean 85.39%, SD 11.67) and overall high scores given in the CUEQ (ie, mean 8.2/10, SD 1.4) further point to high usability of the app. Neither demographic variables nor dexterity levels affected the use of the app.

conclusionsThis pilot study is the first to demonstrate high feasibility and usability of a new tablet app-based dexterity home-based training program among both persons with MS and healthy individuals. Whether this kind of training improves dexterity will need to be evaluated in a randomized controlled trial.

Indexed as

Mobile ApplicationsMultiple SclerosisActivities of Daily LivingAdultAgedFeasibility StudiesFemaleHumansMaleMiddle AgedPilot ProjectsQuality of Lifeappdexterityfeasibilityhome-based trainingmultiple sclerosisrehabilitation

Identifiers

PMID32515747
PMCPMC7312262
OpenAlexW3016246796

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.