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Record W4415439104 · doi:10.1302/1358-992x.2025.10.095

INEQUITY IN ACCESS TO HIP AND KNEE ARTHROPLASTY ACROSS ONTARIO SINCE THE COVID-19 PANDEMIC

2025· article· en· W4415439104 on OpenAlexaboutno aff
Bheeshma Ravi, David W. Pincus, Amit Atrey, Amir Khoshbin, Johnathan R. Lex, Seper Ekhtiari

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsComorbidityArthroplastyCohortRetrospective cohort studyPandemicHip arthroplastyCohort studySocioeconomic statusKnee arthritis

Abstract

fetched live from OpenAlex

Same day discharge (SDD) following total hip and knee arthroplasty (THA and TKA) increased significantly during the COVID-19 pandemic across Ontario. This practice has been facilitated by advances in both orthopaedic and anesthesia techniques. Although SDD is an appealing strategy for resource constrained health systems, the practice may invoke unintended consequences. In this study we wanted to examine whether the drive to SDD during the pandemic has lead to fewer vulnerable patients (i.e. those with medical comorbidity and social marginalization) receiving hip and knee arthroplasty as compared to prior to the pandemic. We conducted a population-based, retrospective cohort study of all patients undergoing primary THA and TKA in Ontario between 2017 to 2021. Data was extracted from the ICES database and previously validated algorithms were utilized to identify patients and variables. All patients undergoing primary total hip or knee arthroplasty treated by all surgeons and hospitals in Ontario during the study period were included. We excluded revision arthroplasties and other arthroplasty operations (ex. partial knee replacements). Patients were grouped into ‘pre-covid’ and ‘post-covid’ eras based on when surgery was performed. “Pre-covid' was defined as THA or TKA surgery occurring before the government-mandated cancellation of elective surgery in Ontario on March 15, 2020. Surgery during the “post-covid” era was defined as occurring after the gradual reopening of elective surgery in Ontario on May 26, 2020. Patients receiving surgery between these government-mandated shutdown dates were also excluded. Validated measures of patient comorbidity and socioeconomic status during the ‘pre-covid’ and ‘post-covid’ eras were compared using appropriate statistical tests. There were 42,644 patients receiving THA in Ontario between 2017 and 2021 (27,796 in the pre-covid era and 14,848 in the post-covid era). As compared to THA patients in the pre-covid era, patients in the post-covid era were significantly less likely to be have CHF (p<.001), Hypertension (p<.001), COPD (p<.001), Diabetes (p<.001), Rheumatoid Arthritis (p<.001), and Frailty (p<.001). Post-covid THA patients were also more likely to be in the highest income quintile (p<.001) as compared to pre-covid patients. There were 59,801 patients receiving TKA in Ontario between 2017 and 2021 (41,441 in the pre-covid era and 18,360 in the post-covid era). As compared to TKA patients in the pre-covid era, patients in the post-covid era were also significantly less likely to be have CHF (p<.001), Hypertension (p<.001), COPD (p<.001), Diabetes (p<.001), Rheumatoid Arthritis (p<.001), and Frailty (p<.001). Post-covid TKA patients were also more likely to be in the highest income quintile (p<.001) as compared to pre-covid patients. We found significantly fewer vulnerable patients (i.e. those with medical comorbidity and social marginalization) receiving hip and knee arthroplasty across Ontario during the pandemic in Ontario as compared to prior. This phenomenon may be explained, at least in part, by patients with comorbidities electing nonoperative treatment due to perceived medical risk of surgery during the pandemic. However, the observed trends occurred at the same time as SDD expanding significantly across the province which likely has also contributed to the selection of healthier, less marginalized patients who can be discharged safely on an outpatient basis at the exclusion of other patients. These preliminary findings point to a need for further monitoring of whether this trend continues and mitigation strategies to ensure more vulnerable patients, some of whom are most need of surgery, are not being left behind.

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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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.152
Threshold uncertainty score0.943

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.042
GPT teacher head0.342
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 teacher head, 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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