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Record W4416207453 · doi:10.1302/1358-992x.2025.13.061

ACCESS TO ORTHOPAEDIC SURGICAL CARE: DEMOGRAPHIC IMPACTS ON UTILIZATION RATES OF HIP AND KNEE ARTHROPLASTY

2025· article· en· W4416207453 on OpenAlexaboutno aff
Bernard Burgesson, Michael S. Dunbar, L. Lethbridge

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsArthroplastyLogistic regressionPopulationConfidence intervalEthnic groupAmbulatoryKnee replacementCensus

Abstract

fetched live from OpenAlex

The positive impact of knee and hip arthroplasty on postoperative pain and function is well documented1-3. Recent interest and research into the lack of access to hip and knee arthroplasty in minority populations has been revealing1,2. The purpose of our study was to examine access to hip and knee arthroplasty, across Canada by province (excluding territories and Quebec) for racially visible individuals (RV) compared non-racially visible individuals (non-RV). Additionally, we set out to compare national knee and hip arthroplasty rates in people of African Descent (AD) to that of the general population (non-AD). The study population was identified from the 2016 Canadian long-form census which was completed by 25% of all households. Sample weights were utilized to ensure results were representative of the entire population. Self-reported ethnicity was used to identify RV and AD. Health utilization data from the Canadian Institutes for Health Information Discharge Abstract Database (DAD) and National Ambulatory Care Reporting System (NACRS) were linked to the census data. Procedures of hip and knee arthroplasty (including revisions) were identified in the health utilization data using the Canadian Classification of Health Intervention codes. First Nations populations were excluded from the study as data collection was not compliant with the First Nations OCAP Principles. Multivariate logistic regression was undertaken to compare rates between groups controlling for confounders which included age, sex, co-morbidities, province, immigrant status, language, education, income, and geographic location. The Chi-squared statistic was used to test for significant differences at a 95% confidence level. Results showed crude rates for both procedures were lower for both RVs and ADs across all provinces. Multivariate analysis showed an adjusted odds ratio (OR) of 0.264 [CI 0.253-0.276] for hip arthroplasty suggesting RVs were 74% less likely to undergo the procedure (P < 0.001). The adjusted OR for knee arthroplasty was 1.07[CI 1.04-1.10] in favor of RVs (P < 0.001). The probability of having a hip arthroplasty was 50% (OR 0.508) lower for those of AD after controlling for confounders (P < 0.001). For knee arthroplasty, the AD population was 15% less likely to have the procedure (OR 0.856, P < 0001). Disparities in access to hip and knee arthroplasty exist for the AD population. Among RVs there is a significant disparity in access to hip arthroplasty. Lower rates observed for RVs and ADs are consistent across provinces. Policymakers and clinicians should explore the reasons for disparities as the trend towards more diverse ethnicities continues to grow across the country.

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)0.001
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 score0.032
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.024
GPT teacher head0.315
Teacher spread0.291 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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