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Record W3003471954 · doi:10.1186/s12883-020-1617-7

Exoskeleton for post-stroke recovery of ambulation (ExStRA): study protocol for a mixed-methods study investigating the efficacy and acceptance of an exoskeleton-based physical therapy program during stroke inpatient rehabilitation

2020· article· en· W3003471954 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Neurology · 2020
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of British Columbia HospitalLawson Health Research InstituteWestern UniversityGlenrose Rehabilitation HospitalGF Strong Rehabilitation CentreParkwood InstituteAlberta Health ServicesVancouver Coastal HealthVancouver Coastal Health Research InstituteUniversity of British Columbia
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsExoskeletonMedicineRehabilitationNeurosurgeryStroke (engine)NeurologyPhysical therapyPhysical medicine and rehabilitationProtocol (science)NeurochemistryAlternative medicineSurgeryPathology

Abstract

fetched live from OpenAlex

BACKGROUND: The ability to walk is commonly reported as a top rehabilitation priority for individuals after a stroke. However, not all individuals with stroke are able to practice walking, especially those who require more assistance from their therapist to do so. Powered robotic exoskeletons are a new generation of robotic-assisted gait training devices, designed to assist lower extremity movement to allow repetitious overground walking practice. To date, minimal research has been conducted on the use of an exoskeleton for gait rehabilitation after stroke. The following research protocol aims to evaluate the efficacy and acceptability, and thus adoptability, of an exoskeleton-based gait rehabilitation program for individuals with stroke. METHODS: This research protocol describes a prospective, multi-center, mixed-methods study comprised of a randomized controlled trial and a nested qualitative study. Forty adults with subacute stroke will be recruited from three inpatient rehabilitation hospitals and randomized to receive either the exoskeleton-based gait rehabilitation program or usual physical therapy care. The primary outcome measure is the Functional Ambulation Category at post-intervention, and secondary outcomes include motor recovery, functional mobility, cognitive, and quality-of-life measures. Outcome data will be collected at baseline, post-intervention, and at 6 months. The qualitative component will explore the experience and acceptability of using a powered robotic exoskeleton for stroke rehabilitation from the point of view of individuals with stroke and physical therapists. Semi-structured interviews will be conducted with participants who receive the exoskeleton intervention, and with the therapists who provide the intervention. Qualitative data will be analyzed using interpretive description. DISCUSSION: This study will be the first mixed-methods study examining the adoptability of exoskeleton-based rehabilitation for individuals with stroke. It will provide valuable information regarding the efficacy of exoskeleton-based training for walking recovery and will shed light on how physical therapists and patients with stroke perceive the device. The findings will help guide the integration of robotic exoskeletons into clinical practice. TRIAL REGISTRATION: NCT02995265 (clinicaltrials.gov), Registered 16 December 2016.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.399
Teacher spread0.360 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it