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Record W2592651882 · doi:10.2196/resprot.7083

Telerehabilitation Versus Traditional Care Following Total Hip Replacement: A Randomized Controlled Trial Protocol

2017· article· en· W2592651882 on OpenAlexvenueno aff
Mark D. Nelson, Michael G. Bourke, Kay M. Crossley, Trevor Russell

Bibliographic record

VenueJMIR Research Protocols · 2017
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsTelerehabilitationMedicineHealth careRehabilitationPhysical therapyProtocol (science)TelehealthTelemedicineRandomized controlled trialGold standard (test)Physical medicine and rehabilitationMedical emergencyAlternative medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Total hip replacement (THR) is the gold standard treatment for severe hip osteoarthritis. Effectiveness of physical rehabilitation for THR patients following discharge from hospital is supported by evidence; however, barriers such as geographical location and transport can limit access to appropriate health care. One solution to this issue is using an alternative model of care using telerehabilitation technology to deliver rehabilitation programs directly into patients' homes. A telerehabilitation model may also have potential health care cost savings for health care providers. OBJECTIVE: This study aims to determine if a telerehabilitation model of care delivered remotely is as effective as face-to-face rehabilitation in the THR population and cost effective for health care providers and patients. METHODS: A total of 70 people undergoing THR will be recruited to participate in a randomized, single-blind, controlled noninferiority clinical trial. The trial will compare a technology-based THR rehabilitation program to in-person care. On discharge from hospital, participants randomized to the in-person group will receive usual care, defined as a paper home exercise program (HEP) targeting strengthening exercises for quadriceps, hip abductors, extensors, and flexors; they will be advised to perform their HEP 3 times per day. At 2, 4, and 6 weeks postoperatively, they will receive a 30-minute in-person physiotherapy session with a focus on gait retraining and reviewing and progressing their HEP. The telerehabilitation protocol will involve a program similar in content to the in-person rehabilitation program, except delivery will be directly into the homes of the participants via telerehabilitation technology on an iPad. Outcomes will be evaluated preoperatively, day of discharge from in-patient physiotherapy, 6 weeks and 6 months postoperatively. The primary outcome will be the quality of life subscale of the hip disability and osteoarthritis outcome score, measured at 6 weeks. Both intention-to-treat and per-protocol analyses as recommended in the extension of the Consolidated Standards for Reporting Trials (CONSORT) guideline for noninferiority trials will be performed. RESULTS: Recruitment commenced in September 2015 and is expected to be completed by June 2017. Data collection will be completed by December 2017. It is anticipated the results from this trial will be published by July 2018. CONCLUSIONS: Previous research investigating telerehabilitation in postoperative orthopedic conditions has yielded promising results. If shown to be as effective as in-person care, telerehabilitation after THR could be helpful in addressing access issues in this population. Furthermore, it may help reduce the cost of health care provision by enabling patients to take a more independent approach to their rehabilitation. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12615000824561; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=364010 (Archived by WebCite at http://www.webcitation.org/6oWXweVfI).

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 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)0.005
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
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 score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.211
GPT teacher head0.533
Teacher spread0.321 · 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 teacher head, not a consensus.

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

Citations26
Published2017
Admission routes1
Has abstractyes

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