Evidence map›Paper›PMID 38166199›Full record

ArticlePhysical therapy2024

Wearable Technology to Capture Arm Use of People With Stroke in Home and Community Settings: Feasibility and Early Insights on Motor Performance.

Marika Demers, Lauri Bishop, Amelia Cain, Joseph Saba, Justin Rowe, Daniel K Zondervan, Carolee J Winstein

Abstract read
In one paragraph

Article in Physical therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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  11. Movement Diversity and Complexity Increase as Arm Impairment Decreases After Stroke: Quality of Movement Experience as a Possible Target for Wearable Feedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Marika DemersSchool of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, Quebec, Canada.
Lauri BishopDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.
Amelia CainDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.
Joseph SabaDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.
Justin RoweFlint Rehabilitation Devices, Irvine, California, USA.
Daniel K ZondervanFlint Rehabilitation Devices, Irvine, California, USA.
Carolee J WinsteinDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, California, USA.

Funding

MiGo: wearable sensors that combine actionable data with a behavioral intervention to improve function after strokeR41HD104296 · NICHD · FLINT REHABILITATION DEVICES · PI ROWE, JUSTIN, WINSTEIN, CAROLEE J · 2021 to 2021
$257k
NICHD NIH HHS R41 HD104296NIH HHSU.S. Department of Health and Human Services
6 · The paper itself

Abstract

objectiveThe objectives of this study were to establish the short-term feasibility and usability of wrist-worn wearable sensors for capturing the arm and hand activity of people with stroke and to explore the association between factors related to the use of the paretic arm and hand.

methodsThirty people with chronic stroke were monitored with wrist-worn wearable sensors for 12 hours per day for a 7-day period. Participants also completed standardized assessments to capture stroke severity, arm motor impairments, self-perceived arm use, and self-efficacy. The usability of the wearable sensors was assessed using the adapted System Usability Scale and an exit interview. Associations between motor performance and capacity (arm and hand impairments and activity limitations) were assessed using Spearman correlations.

resultsMinimal technical issues or lack of adherence to the wearing schedule occurred, with 87.6% of days procuring valid data from both sensors. The average sensor wear time was 12.6 (standard deviation [SD] = 0.2) hours per day. Three participants experienced discomfort with 1 of the wristbands, and 3 other participants had unrelated adverse events. There were positive self-reported usability scores (mean = 85.4/100) and high user satisfaction. Significant correlations were observed for measures of motor capacity and self-efficacy with paretic arm use in the home and the community (Spearman correlation coefficients = 0.44-0.71).

conclusionsThis work demonstrates the feasibility and usability of a consumer-grade wearable sensor for capturing paretic arm activity outside the laboratory. It provides early insight into the everyday arm use of people with stroke and related factors, such as motor capacity and self-efficacy. IMPACT: The integration of wearable technologies into clinical practice offers new possibilities to complement in-person clinical assessments and to better understand how each person is moving outside of therapy and throughout the recovery and reintegration phase. Insight gained from monitoring the arm and hand use of people with stroke in the home and community is the first step toward informing future research with an emphasis on causal mechanisms with clinical relevance.

Indexed as

StrokeStroke RehabilitationWearable Electronic DevicesArmFeasibility StudiesHumansMotor ActivityMotor SkillsRehabilitationSelf-EfficacyStrokeUpper ExtremityWearable Electronic Devices

Identifiers

PMID38166199
PMCPMC10851839

What OpenQuestion holds

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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.