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Record W4415439091 · doi:10.1302/1358-992x.2025.10.118

VIRTUAL VERSUS IN-PERSON PHYSIOTHERAPY FOLLOWING TOTAL KNEE ARTHROPLASTY: A COMPARATIVE ANALYSIS

2025· article· en· W4415439091 on OpenAlexaff
Harman Chaudhry, Alexander Charalambous, Andrew Wainwright, Reza Najafi, Raman Mundi, David W. Pincus, Bheeshma Ravi

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsSunnybrook Health Science Centre
Fundersnot available
KeywordsCohortArthroplastyProtocol (science)Descriptive statisticsCohort studyTotal knee arthroplastyHealth care

Abstract

fetched live from OpenAlex

Virtual health care delivery accelerated during the COVID-19 Pandemic as healthcare providers and institutions innovated to continue providing high quality patient care. At our tertiary-level arthroplasty center, we developed and implemented a video-based post-operative physiotherapy program since March 2020 for patients undergoing total knee arthroplasty (TKA). The protocol was based on our centre's award-winning in-person physiotherapy post-operative program and administered by experienced physiotherapists via video-based software. In this study, we aimed to analyse and compare the outcomes of this program to a historical in-person cohort. We retrospectively reviewed the outcomes of the first 100 consecutive patients undergoing the virtual physiotherapy program at our institution (i.e., the virtual cohort). We captured range-of-motion (ROM) measurements and pain scores (as measured by the P4 questionnaire) as part of our standard practice, and these were summarized via descriptive statistics (means and standard deviations). We compared the outcomes to a historical cohort of 175 consecutive patients undergoing in-person physiotherapy at our institution (i.e., the in-person cohort). Comparative analysis was performed using a two-tailed Student's t-test. An alpha value of less than 0.05 was considered as statistically significant. At the initial post-operative visit, the virtual cohort had mean flexion of 92.0 (SD 15.6) degrees and extension of −9.7 (SD 6.7) degrees. At the discharge visit, mean flexion had improved to 122.6 (SD 7.6) degrees and mean extension to 1.0 (SD 2.1) degrees. Mean time to discharge was 6.2 (SD 1.2) weeks. The in-person cohort had mean initial flexion and extension of 94 (SD 17) degrees and −13.9 (SD 6.8) degrees, respectively. At the discharge visit, mean flexion had improved to 128.5 (SD 8.0) degrees and mean extension to −0.54 (SD 1) degrees. There was no difference in improvement in flexion from the initial visit (mean 30.6 degrees increase [virtual] vs 34.5 degrees increase [in-person], p=0.06). Both groups achieved near-full knee extension (£1 degree), although the in-person cohort experienced a greater improvement for this to occur (13.2 degree improvement vs 8.6 degree improvement, p < 0 .001). There was no difference in the number of physiotherapy visits to discharge between the cohorts (10.5 virtual vs 11.1 in-person, p=0.14). There was also no difference in final pain scores as measured by the P4 questionnaire (12.4 virtual vs 11.9 in-person, p =0.61) Physiotherapy following total knee arthroplasty can be delivered effectively virtually via video-based software and administered by experienced physiotherapists. Improvements in range-of-motion measures are comparable to those obtained in-person, with both groups achieving similar gains in flexion and near-full knee extension. These findings may have implications for the virtual delivery of post-operative care moving forward, especially among remote populations and patients with mobility limitations restricting travel.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.305
Teacher spread0.289 · 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 designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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