Surgical Approaches in Total Hip Arthroplasty Cost Per Case Analysis: A Retrospective, Matched, Micro-costing Analysis in a Socialised Healthcare System
Bibliographic record
Abstract
Background: Total hip arthroplasty (THA) offers an effective method of pain relief and restoration of function for patients with end-stage arthritis. The anterior approach (AA) claims to benefit patients with decreased pain, increased mobilisation and decreasing length of hospital stay (LOS). In a socialised healthcare platform we questioned whether the AA, compared to posterior (PA) and lateral (LA) approaches, can decrease the cost burden. Methods: Using a retrospective matched cohort study, we matched 69 AA patients to 69 LA and 69 PA patients for age ( p = 0.99), gender ( p = 0.99) and number of pre-surgical risk factors ( p = 0.99). First, we used the Resource Intensity Weights (RIW) using the Health Services agreed on method of calculating cost. Secondly, micro-costing analysis was performed using the financial services data for each patient’s hospital stay. Results: Using the RIW based cost analysis and 2-day reduction (95% CI 1.8–2.4) in LOS, the AA offers an estimated savings per case of $4099 ( p < 0.001) compared to the LA and PA. Using micro-costing analysis, we found a total saving of $1858.00 per case (95% CI 1391–2324) when comparing the AA to the PA and LA. There was a statistically significant cost savings using every category: Net Direct Salary ($901.00, p < 0.001), Net Drug ($8.00, p = 0.003), Patient Supply ($454.00, p = 0.001), Patient Drug ($15.00, p = 0.008), Indirect Cost ($385.00, p < 0.001), Patient Care Administration ($106.00, p < 0.001). Furthermore, the AA saved 142 minutes of in-hospital rehabilitation time. Conclusion: The AA THA provides statistically significant reductions in cost compared to PA and LA while releasing rehabilitation resources.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".