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Primary Hip Arthroplasty Costs Are Greater in Low-volume Than in High-volume Canadian Hospitals

2005· article· en· W2087513663 on OpenAlexaffabout
Paul A. Martineau, Kristian B. Filion, Olga L. Huk, David J. Zukor, Mark J. Eisenberg, John Antoniou

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2005
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsMedicineTotal costIndirect costsTotal hip replacementOverhead (engineering)Total hip arthroplastyVolume (thermodynamics)Orthopedic surgeryArthroplastySurgeryEmergency medicine

Abstract

fetched live from OpenAlex

Despite the widespread success of total hip arthroplasties for treatment of arthritis of the hip, the procedure continues to be targeted for cost control. Our objective was to compare the total in-hospital cost of primary total hip arthroplasties in high-volume and low-volume hospitals. Data concerning the patient-level in-hospital costs of 940 consecutive primary total hip arthroplasties were extracted from the cost accounting system of three Canadian hospitals. Mean in-hospital costs for patients having total hip arthroplasties in a high-volume institution (> or = 300 total hip arthroplasties/year) compared with two low-volume Canadian institutions (< 300 total hip arthroplasties/year) were: overhead costs 1380 US dollars +/- 35 US dollars versus 2432 US dollars +/- 49 US dollars; direct costs 3023 US dollars +/- 93 US dollars versus 4952 US dollars +/- 91 US dollars and total costs 4403 US dollars +/- 117 US dollars versus 7385 US dollars +/- 1 US dollar 38, respectively (all comparisons in US dollars). Lower overhead and direct and total costs were found for primary total hip arthroplasties done in a high-volume Canadian hospital compared with the low-volume centers. Differences in direct costs, made up in large part by the implant cost, accounted for most of the disparity. As total hip arthroplasties continue to be scrutinized for cost containment, doing the procedure in a high-volume center seems to be an effective method of controlling costs.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0010.001

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 head0.338
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 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

Citations38
Published2005
Admission routes2
Has abstractyes

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