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Record W1966564377 · doi:10.1016/s0840-4704(10)60803-4

Total Hip and Knee Replacement Surgeries in Alberta Utilization and Associated Outcomes

2001· article· en· W1966564377 on OpenAlexaffabout
Arif Alibhai, Duncan Saunders, DWC Johnston, Kyung S. Bay

Bibliographic record

VenueHealthcare Management Forum · 2001
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineArthroplastyRetrospective cohort studyComplicationHealth careSurgeryTotal hip arthroplastyEmergency medicinePhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: Between 1994/95 and 1996/7, the healthcare system in Alberta underwent a radical transformation that saw the regionalization of service delivery and a reduction in overall healthcare funding. The aim of this study is to examine trends in utilization and associated post-operative complications and readmissions for two procedures, total hip arthroplasty (THA) and total knee arthroplasty (TKA) during this period of restructuring. METHODS: This is a six-year retrospective analysis using hospital separation and healthcare insurance plan registry databases. During the study period, we looked at trends in inpatient procedure volumes, average lengths of stay, post-operative complications during the index hospital stay and readmissions within one year. RESULTS: Over a six-year period, the age-sex standardized provincial rate of THAs increased by 18% while the rate of TKAs increased by 73%. Average lengths of stay decreased for both procedures by over 50%. The rate of procedures with at least one post-operative complication within the index episode of care decreased over the study period by 19% for THA and 21% for TKA. Readmissions due to complications of surgery increased overall by 32% for THA and 2% for TKA. Regional and sex differences were observed throughout the period. CONCLUSIONS: While the overall rate of hospitalizations has decreased in Alberta, the rates of THA and TKA procedures have increased. The lengths of stay following these procedures have, at the same time, reduced dramatically. Adverse outcomes as measured by complication rates associated with these procedures have decreased, though readmissions due to complications after surgery have increased.

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)0.000
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 score0.053
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.295
Teacher spread0.269 · 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".

Quick stats

Citations10
Published2001
Admission routes2
Has abstractyes

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