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Record W4411990429 · doi:10.1002/msc.70156

Consumer‐Focused Osteoarthritis e‐Learning to Complement Physiotherapy Care in People With Knee Osteoarthritis: Protocol for the PEEKO Randomised Controlled Trial

2025· article· en· W4411990429 on OpenAlexaboutno aff
Rachel K Nelligan, Rana S. Hinman, Ben Metcalf, Fiona McManus, Karen E. Lamb, Sophie Heywood, Robyn Gibbes, Kim L. Bennell

Bibliographic record

VenueMusculoskeletal Care · 2025
Typearticle
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research CouncilUniversity of Melbourne
KeywordsMedicinePhysical therapyOsteoarthritisRandomized controlled trialQuality of life (healthcare)Knee painPhysical medicine and rehabilitationAlternative medicineNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate whether the addition of a consumer e-learning course to verbal information on OA and a home strengthening exercise programme prescribed by a physiotherapist enhances pain and/or physical function outcomes at 24 weeks in people with knee OA. Primary outcomes are (i) severity of knee pain while walking (11-point numeric rating scale) at 24 weeks and (ii) physical function at 24 weeks using the Western Ontario and McMaster Universities Osteoarthritis Index subscale. Secondary outcomes include measures of knee-related quality of life; sport and recreation; self-efficacy for exercise; pain self-efficacy; physical activity levels; OA knowledge; perceptions of OA (illness perceptions); fear of movement; belief in the inevitability of needing a knee joint replacement; global rating of change; satisfaction with treatment; exercise adherence; and use of recommended OA self-management approaches and oral pain medication. METHODS: Two-arm parallel-design superiority randomised controlled trial. One hundred thirty-six community dwelling Australian adults with clinically diagnosed knee OA will be randomly allocated into one of two groups: (i) verbal OA education and a home strengthening programme (control) or (ii) the same intervention plus access to a freely available 4-module e-learning course on OA and its recommended management (e-learning group). Both groups will receive the same scripted verbal OA information and a lower limb strengthening programme over two 30-min video consultations with a physiotherapist over six weeks. Those in the e-learning group will receive access to the e-learning course from their physiotherapist. Primary outcomes are (i) severity of knee pain while walking (11-point numeric rating scale) at 24 weeks and (ii) physical function at 24 weeks using the Western Ontario and McMaster Universities Osteoarthritis Index subscale. Secondary outcomes include measures of knee-related quality of life; sport and recreation; self-efficacy for exercise; pain self-efficacy; physical activity levels; OA knowledge; perceptions of OA (illness perceptions); fear of movement; belief in the inevitability of needing a knee joint replacement; global rating of change; satisfaction with treatment; exercise adherence; and use of recommended OA self-management approaches and oral pain medication. CONCLUSION: This RCT evaluates whether supplementing physiotherapy care with consumer-focused e-learning improves outcomes for people with knee OA.

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)0.023
metaresearch head score (Gemma)0.021
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 score0.093
Threshold uncertainty score0.311

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.021
Meta-epidemiology (narrow)0.0070.003
Meta-epidemiology (broad)0.0150.008
Bibliometrics0.0030.004
Science and technology studies0.0030.003
Scholarly communication0.0040.004
Open science0.0040.002
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0930.014

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 head0.009
GPT teacher head0.309
Teacher spread0.300 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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