Evidence map›Paper›PMID 39874139›Full record

ArticleDisability and rehabilitation. Assistive technology2025

Advancing stroke rehabilitation: the role of wearable technology according to research experts.

Amelia Cain, Tanisha Gunby, Carolee Winstein, Marika Demers

Abstract read
In one paragraph

Article in Disability and rehabilitation. Assistive technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

4 authors.

Amelia CainDivision of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.
Tanisha GunbyDivision of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.
Carolee WinsteinDivision of Biokinesiology and Physical Therapy, Herman Ostrow School of Dentistry, University of Southern California, Los Angeles, CA, USA.
Marika DemersSchool of Rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
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
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855NICHD NIH HHS R41 HD104296
6 · The paper itself

Abstract

backgroundAdvancements in wearable technology have created new opportunities to monitor stroke survivors' behaviors in daily activities. Research insights are needed to guide its adoption in clinical practice, address current gaps, and shape the future of stroke rehabilitation. This project aims to: (1) Understand stroke rehabilitation researchers' perspectives on the opportunities, challenges, and clinical relevance of wearable technology for stroke rehabilitation, and (2) Identify necessary next steps to integrate wearable technology in research and clinical practice.

methodsUsing a phenomenological qualitative design, two 90-minute focus groups were conducted with 12 rehabilitation researchers. The focus groups consisted of semi-structured, open-ended questions on functional movement behavior, motor performance and benefits and pitfalls of wearable technology. The transcribed focus groups were analyzed using inductive thematic analysis.

resultsThree main themes were derived from the analysis: (1) Assessing activity performance is critical to inform interventions, (2) The demonstrated benefit is not commensurate with the added hassle, (3) Collaboration is needed between the industry, academia and end-users. Necessary future steps were recognized including the identification of intuitive and actionable metrics, and the integration of sensor-derived data with electronic health records and into clinical workflow to support self-management strategies.

conclusionWearable technology shows great potential to complement and support stroke rehabilitation. Many key barriers to clinical adoption remain which underscore the necessity to foster collaborations between industry, academia, and the participants we serve.

Indexed as

Stroke RehabilitationWearable Electronic DevicesActivities of Daily LivingFocus GroupsHumansQualitative Researchdigital healthoccupational therapyphysical therapyprecision medicineself-managementstroke rehabilitationWearable electronic devices

Identifiers

PMID39874139
PMCPMC12187557

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.