Direct Variable Cost Comparison of Endoscopic Versus Open Carpal Tunnel Release: A Time-Driven Activity-Based Costing Analysis
Bibliographic record
Abstract
INTRODUCTION: To improve the delivery of value-based health care, a deeper understanding of the cost drivers in hand surgery is warranted. Time-driven activity-based costing (TDABC) offers a more accurate estimation of resource utilization compared with top-down accounting methods. This study used TDABC to compare the facility costs of open carpal tunnel release (OCTR) and endoscopic carpal tunnel release (ECTR). METHODS: We identified 845 consecutive, unilateral carpal tunnel release (516 open, 329 endoscopic) surgeries performed at an orthopaedic specialty hospital between 2015 and 2021. Itemized facility costs were calculated using a TDABC algorithm. Patient demographics, comorbidities, surgical characteristics, and itemized costs were compared between OCTR and ECTR. Multivariate regression was used to determine the independent effect of endoscopic surgery on true facility costs. RESULTS: Total facility costs were $352 higher in ECTR compared with OCTR ($882 versus $530). ECTR cases had higher personnel costs ($499 versus $420), likely because of longer surgical time (15 versus 11 minutes) and total operating room time (35 versus 27 minutes). ECTR cases also had higher supply costs ($383 versus $110). Controlling for demographics and comorbidities, ECTR was associated with an increase in personnel costs of $35.74 (95% CI, $26.32 to $45.15), supply costs of $230.28 (95% CI, $205.17 to $255.39), and total facility costs of $265.99 (95% CI, $237.01 to $294.97) per case. DISCUSSION: Using TDABC, ECTR was 66% more costly to the facility compared with OCTR. To reduce the costs related to endoscopic surgery, efforts to decrease surgical time and negotiate lower ECTR-specific supply costs are warranted. LEVEL OF EVIDENCE: Economic and Decision Analysis Level II.
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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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".