A Cost-Effectiveness Analysis of a Decolonization Protocol for Staphylococcus aureus Prior to Hip and Knee Arthroplasty in Alberta, Canada
Bibliographic record
Abstract
There are over 100,000 knee/hip replacements yearly in Canada. While these procedures improve mobility and quality of life, approximately 1% develop complex surgical site infections (SSIs) after surgery. Detailed costing analysis of these infections, particularly in Canada, is lacking. We assessed incidence and cost of complex SSIs following primary hip/knee arthroplasty in patients across Alberta. We then evaluated the cost-effectiveness of an evidence-based decolonization protocol in patients prior to hip/knee arthroplasty in Alberta, compared with standard care (no decolonization) using decision analysis. Among 24,667 operations, 1.04% developed a complex SSI. The most common causative pathogen was Staphylococcus aureus (38%). Mean first-year costs for the infected and non-infected cohort were CAN $95,321 (IQR49,623 – 120,636) and $19,893 (IQR12,610 – 19,723), respectively. The decolonization protocol was associated with lower risk of complex SSI and cost savings of $153/person. A decolonization protocol should be considered for implementation in Alberta to reduce infections and save costs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".