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Record W4415182574 · doi:10.2196/preprints.84667

INTERVENTION CHARACTERISTICS AND THE OUTCOMES USED IN VIRTUAL REHABILITATION FOR INDIVIDUALS WITH SPINAL CORD INJURY (SCI) - A Scoping Review (Preprint)

2025· review· en· W4415182574 on OpenAlexaboutno aff
Neeraja Nannapaneni, Holly Edward, Nelani Paramanantharajah, Ada Tang, Julie Richardson, Jenna Smith‐Turchyn

Bibliographic record

Venuenot available
Typereview
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationPsychological interventionIntervention (counseling)TelerehabilitationSpinal cord injuryTelehealthMEDLINESystematic review

Abstract

fetched live from OpenAlex

BACKGROUND Spinal cord injury (SCI), whether traumatic or nontraumatic, often results in partial or complete motor and/or sensory paralysis, leading to significant physical, psychological, and socioeconomic challenges. In Canada, approximately 86,000 individuals live with SCI, many of whom face barriers to accessing timely rehabilitation services due to geographic, financial, or logistical constraints. These barriers were further amplified during the COVID-19 pandemic. In response, telehealth particularly virtual or tele-rehabilitation has emerged as a viable alternative to in-person care. While prior studies have examined its feasibility, safety, and effectiveness, there remains a gap in understanding the specific intervention characteristics and outcomes used in virtual rehabilitation for individuals with SCI. This scoping review addresses this gap by synthesizing existing literature to inform future practice and research. OBJECTIVE To explore the intervention characteristics and outcomes used in virtual rehabilitation for individuals with SCI. METHODS A scoping review following the Joanna Briggs Institute framework. We included articles of (1) adults over 18 years of age who sustained a SCI, (2) examined virtual rehabilitation interventions, and (3) were published in English. Six databases were searched from inception to December 15, 2024. Title/abstract screening, full-text screening, and data extraction were completed independently and in duplicate. A narrative synthesis was completed to summarize findings using the “population, concept, and context” framework. RESULTS The review included 80 articles examining virtual interventions for individuals with SCI, typically involving exercise training alone or in combination with cognitive-behavioral therapy or educational components. Outcomes assessed ranged from physical performance and functional abilities to psychological wellbeing, quality of life (QOL), feasibility, and usability. Most studies reported that virtual interventions were both feasible and safe to use (77% of studies demonstrated feasibility and 88% of included studies had an adherence rate of 90% or more). CONCLUSIONS This review examined the intervention characteristics and outcomes of virtual rehabilitation for individuals with SCI. Most studies utilized virtual exercise or physical activity interventions along with cognitive behavioural therapy and educational components and demonstrated feasibility, safety, and a positive impact on QOL. CLINICALTRIAL Open Science Framework Registries (registration DOI: https://doi.org/10.17605/OSF.IO/Q7ZGH)

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.099
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.099
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.007
Bibliometrics0.0130.019
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.038
GPT teacher head0.413
Teacher spread0.376 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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