MétaCan
Menu
Back to cohort
Record W4416209130 · doi:10.1302/1358-992x.2025.13.108

KNEE OSTEOARTHRITIS (OA) EDUCATION SESSION: A COMMUNITY HOSPITAL'S EFFORT TO IMPROVE ACCESS TO CARE FOR PATIENTS REFERRED TO THE HIP AND KNEE RAPID ACCESS CLINIC

2025· article· en· W4416209130 on OpenAlexaff
C. Lafontaine, Jason S. Au, K. Roscoe, K. Desjardine

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsQueensway-Carleton Hospital
Fundersnot available
KeywordsPrimary careReferralOsteoarthritisPatient educationMEDLINEPhysical examinationClass (philosophy)

Abstract

fetched live from OpenAlex

Since 2010, the region adopted the Rapid Access Clinic model for referrals from primary care for patients being considered for hip or knee replacement. This process involves an initial assessment by a nurse or specially trained physiotherapist. The visit includes an intake of medical history, joint history, physical examination and x-ray review. This is followed by a comprehensive discussion with the patient regarding their options. Patients who are potential surgical candidates and interested in pursuing this option are referred to a surgeon. Overall, approximately 40% of patients are not surgical candidates or yet ready to proceed to a surgical consult. Many patients referred to the program have not yet optimized non-surgical treatment. Since the pandemic, the wait time for initial assessment at RACs across the region increased from approximately 2 to 3 months to 6 to 8 months. To address this backlog, a pilot project at a leading local hospital's RAC site was proposed to target patients referred with mild to moderate OA as they are most likely to be streamed to optimize non-surgical treatment measures. A class format was developed, providing evidence-based education regarding pathology and conservative measures as well as a review of indications for surgery. Each class consists of up to 20 people and is 1 hour in duration, allowing time for questions. Referrals are reviewed for appropriateness prior to booking based on clinical information provided and attached report for weight-bearing knee x-rays. Handouts are provided by email at the time of booking or in-person at the class. At the conclusion of the class, patients choose whether they wish to proceed to an initial assessment at the RAC or further pursue conservative treatment. A voluntary and anonymous satisfaction survey is collected. Patients may subsequently contact the clinic directly within the year following the class to request an initial assessment at the RAC if they fail to manage adequately with conservative measures. Data collection is ongoing. Preliminary results indicate a very high patient satisfaction rate. The majority of patients, 63%, chose to further explore the conservative measures reviewed during the session while 37% requested to proceed with an initial assessment at the RAC site. Impact on the waitlist for assessment and post-assessment outcomes for these patients will be examined. Callback rates will also be tracked. The Knee Osteoarthritis Education Session is an innovative option to help address increased wait times for initial assessment at Hip and Knee RAC sites. This program allows patients with mild to moderate knee OA to have a greater understanding of evidence-based non-surgical treatment options as well as indications for surgery in a timelier manner. This provides patients with the opportunity to fully optimize conservative measures before opting for an individual assessment at the RAC. The process also helps streamline patients who have end-stage joints and/or have exhausted non-surgical alternatives for an initial assessment at RAC.

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)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0060.001
Scholarly communication0.0020.002
Open science0.0020.007
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0320.004

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 head0.016
GPT teacher head0.320
Teacher spread0.304 · 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 designNot applicable
Domainnot available
GenreOther

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

Explore more

Same venueOrthopaedic ProceedingsSame topicTotal Knee Arthroplasty OutcomesFrench-language works237,207