Evidence map›Paper›PMID 32343258›Full record

ArticleJMIR mHealth and uHealth2020

Design, Development, and Testing of an App for Dual-Task Assessment and Training Regarding Cognitive-Motor Interference (CMI-APP) in People With Multiple Sclerosis: Multicenter Pilot Study.

Andrea Tacchino, Renee Veldkamp, Karin Coninx, Jens Brulmans, Steven Palmaers, Päivi Hämäläinen, Mieke D'hooge, Ellen Vanzeir, Alon Kalron, Giampaolo Brichetto and 2 more

Abstract readMulticenter Study
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. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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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

12 authors.

Andrea TacchinoScientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy.ORCID 0000-0002-2263-7315
Renee VeldkampRehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0002-7317-2431
Karin ConinxExpertise Centre for Digital Media, Faculty of Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0001-6730-3426
Jens BrulmansExpertise Centre for Digital Media, Faculty of Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0002-6184-3015
Steven PalmaersSmart ICT, PXL University College, Hasselt, Belgium.ORCID 0000-0003-4677-8013
Päivi HämäläinenMasku Neurological Rehabilitation Centre, Masku, Finland.ORCID 0000-0002-9020-4650
Mieke D'hoogeRehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0002-7973-305X
Ellen VanzeirRehabilitation and MS Center Overpelt, Overpelt, Belgium.ORCID 0000-0001-7232-6737
Alon KalronDepartment of Physical Therapy, School of Health Professions, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.ORCID 0000-0001-7999-0868
Giampaolo BrichettoScientific Research Area, Italian Multiple Sclerosis Foundation, Genoa, Italy.ORCID 0000-0003-2026-3572
Peter FeysRehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0002-5680-5495
Ilse BaertRehabilitation Research Center (REVAL), Faculty of Rehabilitation Sciences, Hasselt University, Hasselt, Belgium.ORCID 0000-0002-8621-6376

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDual tasking constitutes a large portion of most activities of daily living; in real-life situations, people need to not only maintain balance and mobility skills, but also perform other cognitive or motor tasks at the same time. Interest toward dual-task training (DTT) is increasing as traditional interventions may not prepare patients to adequately face the challenges of most activities of daily living. These usually involve simultaneous cognitive and motor tasks, and they often show a decline in performance. Cognitive-motor interference (CMI) has been investigated in different neurological populations, but limited evidence is present for people with multiple sclerosis (MS). The use of computerized tools is mandatory to allow the application of more standardized assessment and rehabilitation intervention protocols and easier implementation of multicenter and multilanguage studies.

objectiveTo describe the design and development of CMI-APP, an adaptive and interactive technology tablet-based app, and to present the preliminary results of a multicenter pilot study involving people with MS performed in several European centers for evaluating the feasibility of and adherence to a rehabilitation program based on CMI-APP.

methodsCMI-APP includes user-friendly interfaces for personal data input and management, assessment of CMI, and DTT. A dedicated team developed CMI-APP for Android tablets above API level 14 (version 4.0), using C# as the programming language and Unity and Visual Studio as development tools. Three cognitive assessment tests for working memory, information processing speed, and sustained attention and four motor assessment tests for walking at different difficulty levels were implemented. Dual cognitive-motor tasks were performed by combining single cognitive and motor tasks. CMI-APP implements exercises for DTT involving the following 12 cognitive functions: sustained attention, text comprehension, verbal fluency, auditory discrimination, visual discrimination, working memory, information processing speed, auditory memory, visual memory, verbal analog reasoning, visual analog reasoning, and visual spatial planning, which can be performed during walking or stepping on the spot. Fifteen people with MS (mean age 52.6, SD 8.6 years; mean disease duration 9.4, SD 8.4 years; mean Expanded Disability Status Scale score 3.6, SD 1.1) underwent DTT (20 sessions). Adherence to the rehabilitation program was evaluated according to the percentage of performed sessions, perceived exertion during the training (Borg 15-point Ratings of Perceived Exertion [RPE] Scale), and subjective experience of the training (Intrinsic Motivation Inventory [IMI]).

resultsThe adherence rate was 91%. DTT was perceived as "somewhat difficult" (mean RPE Scale score 12.6, SD 1.9). IMI revealed that participants enjoyed the training and felt that it was valuable and, to some extent, important, without feelings of pressure. They felt competent, although they did not always feel they could choose the exercises, probably because the therapist chose the exercises and many exercises had few difficulty levels.

conclusionsCMI-APP is safe, highly usable, motivating, and well accepted for DTT by people with MS. The findings are fundamental for the preparation of future large-sample studies examining CMI and the effectiveness of DTT interventions with CMI-APP in people with MS.

Indexed as

Multiple SclerosisText MessagingActivities of Daily LivingAdolescentAdultAgedCognitionFemaleHumansMaleMiddle AgedMobile ApplicationsMotor SkillsPilot ProjectsPsychomotor PerformanceYoung Adultadherencecognitive impairmentcognitive-motor interferencecognitive rehabilitationdual-task costdual-task trainingmobile devicemultiple sclerosistabletwalking

Identifiers

PMID32343258
PMCPMC7218603

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Registered trials

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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.