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Record W4416177153 · doi:10.1503/cjs.015124

Early experience of an integrated ambulatory care program for joint replacement surgery

2025· article· en· W4416177153 on OpenAlexafffundvenueabout
Samuel Morgan, Matey Juric, Ervis Musa, Stéphane Poitras, Joel Werier, Benjamin Sohmer, Paul E. Beaulé

Bibliographic record

VenueCanadian Journal of Surgery · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsOttawa Hospital
FundersUniversity of Ottawa
KeywordsJoint replacementAmbulatoryJoint (building)Arthroplasty replacementAmbulatory careTotal joint replacement

Abstract

fetched live from OpenAlex

Background: To address the increasing demand and backlog of joint replacements, integrated ambulatory care centres (IACs) are being introduced as a public–private partnership in certain areas of Canada. We sought to assess the safety, effectiveness, and sustainability of an IAC for performing hip, knee, and shoulder replacements and to compare patient outcomes between an IAC and a public hospital. Methods: We conducted a retrospective analysis of patients who underwent elective arthroplasty surgery at an IAC between Feb. 1, 2023, and Mar. 28, 2024. We matched patients on age, body mass index (BMI), and sex to patients having outpatient surgery at a partner hospital during that same period. The primary outcome was unexpected emergency department (ED) encounters within 1 week of surgery. Secondary outcomes included failure to discharge on the day of surgery, 90-day reoperation rate, and patient-reported outcome measures (PROMs), including the Oxford Hip Score (OHS), Oxford Knee Score (OKS), and Patient-Reported Outcome Measurement Information System (PROMIS) scores. Results: We included 600 patients who underwent arthroplasty procedures at an IAC (282 hips, 282 knees, and 36 shoulders). The cohort included 318 females and 282 males, with a mean age of 66 years and a mean BMI of 28.7. Of the 600 patients, 16 (2.7%) had an unexpected ED encounter within 7 days, with 2 (0.3%) patients requiring 24-hour admission. At 90 days, 2 (< 1%) patients required admission for reoperation. In the matched cohort of 234 patients, there were no significant differences in unexpected ED encounters at 7 days (3% for IAC v. 5% for public hospital, p = 0.2). The mean improvement in OHS, OKS, and PROMIS (physical) scores was 17.6 (standard deviation [SD] 10.7), 13.1 (SD 11.2), and 8.8 (SD 7.3), respectively, in the IAC group, and 16.1 (SD 12.7), 8.5 (SD 8.9), and 6.2 (SD 7.0), respectively, in the public hospital group. Conclusion: An IAC for joint replacement is a safe and effective model of improving access for patients requiring joint replacement surgery, with no negative effect on subsequent ED encounters or patient-reported outcomes.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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 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".

Quick stats

Citations0
Published2025
Admission routes4
Has abstractyes

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