Analysis of Costs Associated With Increased Length of Stay After Total Joint Arthroplasty at a Single Private Practice
Bibliographic record
Abstract
INTRODUCTION: As the demand for total hip arthroplasty (THA) and total knee arthroplasty (TKA) increases, so does the financial burden of these services. Despite efforts to optimize spending and bundled care payments, THA and TKA costs still need to be assessed. Our study explores the relationship between perioperative costs and length of stay (LOS) for THA and TKA. METHODS: A total of 614 patients undergoing THA or TKA at a single private practice with LOS from zero to 3 days were identified. All patients were insured by private or Medicare Advantage insurance from a single provider. Primary outcomes included total costs and their relationship with LOS, classified into surgeon reimbursement, facility costs, and anesthesia costs. Secondary outcomes included readmission rates and discharge disposition. Analyses involved Student t -test, analysis of variance, and chi-square tests. RESULTS: Longer LOS was associated with increased total, facility, and anesthesia costs. Costs for THA patients were stable except for reduced surgeon reimbursement with longer LOS. Patients undergoing TKA experienced an increase in facility costs with longer LOS. Total facility and anesthesia costs increased with LOS for Medicare Advantage patients, but surgeon reimbursement remained stable. Privately insured patients experienced higher total and facility costs but stable surgeon reimbursement and anesthesia costs regardless of LOS. CONCLUSION: Our study shows an increase in total cost with longer LOS, especially pronounced in privately insured patients. A notable reduction was observed in the surgeon reimbursement for Medicare Advantage patients with extended LOS. These findings underscore the need for efficient surgical practices and postoperative care strategies to optimize hospital stays and control 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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".