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Record W3154096910 · doi:10.29337/ijsp.138

Evaluation of Safety and Efficacy of ReHub in Patients Who Underwent Primary Total Knee Arthroplasty: Study Protocol for a Randomized Controlled Trial

2021· article· en· W3154096910 on OpenAlexaff
Montse Nuevo, Hadis Mahdavi, Daniel Rodríguez, T Faura, Núria Fabrellas, Simone Balocco, Marco Conti, Alessandro Castagna, Salvi Prat

Bibliographic record

VenueInternational Journal of Surgery Protocols · 2021
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicinePhysical therapyTelerehabilitationRandomized controlled trialRehabilitationRange of motionQuality of life (healthcare)ArthroplastyInformed consentOsteoarthritisClinical trialPatient satisfactionProtocol (science)SurgeryHealth careTelemedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Total Knee Arthroplasty (TKA) is an intervention that can significantly improve the quality of life of patients with advanced knee osteoarthritis. Early start of rehabilitation and its continuation at home once the patient is discharged are key factors for the success of the process.This study aims to assess the effectiveness of a home-based telerehabilitation solution (ReHub) on improving functional capacity and clinical outcomes for patients who underwent TKA. METHODS/DESIGN: The study is a randomized, open-label with blinded outcome assessor, parallel assignment clinical trial with a sample size of 52 patients that is conducted according to the SPIRIT recommendations. After the TKA intervention, the patients are randomly allocated to the control group or the experimental group with a 1:1 ratio. Both groups follow a Fast Track recovery protocol which includes discharge after 2-3 days from surgery, a daily plan of 5 exercises for autonomous rehabilitation and domiciliary visits by a physiotherapist starting approximately 2 weeks after surgery. The experimental group uses the sensor-based telerehabilitation system ReHub to perform the exercises. The primary outcome measure is the range of motion of the knee. Secondary outcomes include physical performance, quality of life, pain intensity, muscle strength, treatment adherence and satisfaction with the ReHub system. The outcomes assessment is performed at hospital discharge (baseline), at stitch removal (2 weeks after baseline) and 2 weeks after stitch removal (4 weeks after baseline).The study conforms to the guidelines of the Declaration of Helsinki and was approved by the hospital's ethics committee. DISCUSSION: The study will address an important gap in the evidence base by reporting the effectiveness of an affordable and low-cost home-based telerehabilitation solution in patients who underwent TKA. ETHICS AND DISSEMINATION: The study was approved by the hospital's ethics committee ("Comité Ético de Investigación Clínica del HCB", reg. HCB/2019/0571). The trial was registred at ClinicalTrials.gov (NCT04155957). The results of this study will be published in peer-reviewed journals as well as national and international conferences. TRIAL REGISTRATION: NCT04155957 (ClinicalTrials.gov). HIGHLIGHTS: Assessing a home-based telerehabilitation solution effectiveness in knee surgery.In situations such as the CoVid-19 pandemic, it is a resolutive intervention method.Telerehabilitation is an alternative to conventional face-to-face physical therapy.This system is far less demanding in terms of human resources.Range of motion assessment is the primary outcome measure.

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)0.032
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.053
Threshold uncertainty score0.178

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.033
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0130.006
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0530.009

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 head0.052
GPT teacher head0.382
Teacher spread0.330 · 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 designRandomized trial
Domainnot available
GenreProtocol

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

Citations8
Published2021
Admission routes1
Has abstractyes

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