Episode-of-care costs of total knee arthroplasty: Outpatient versus inpatient postoperative care protocol
Bibliographic record
Abstract
BACKGROUND: Total knee arthroplasty (TKA) is the most commonly performed joint replacement procedure in North America. Few studies have successfully evaluated the episode-of-care cost (EOCC) of common elective orthopedic procedures using an activity-based costing (ABC) framework. The objective of this study is to compare the EOCC of same-day discharge versus inpatient TKA using an activity-based costing methodology. METHODS: An observational case-control study was conducted comparing the EOCC of 25 consecutive patients who underwent same-day discharge (SDD) TKA and 25 consecutive patients who underwent same-day admission (SDA) TKA at an academic center. The EOCC was generated using an ABC framework. RESULTS: The median total EOCC for outpatient TKA was $7,243.26 CAD (IQR=614.12), while the median EOCC in the inpatient group was $8,303.94 CAD (IQR=1,157.77). The costs incurred secondary to the hospital admission were the main driver of the increased cost for inpatients. The mean length of stay for admitted patients was 2.45 days (SD=1,52). Patients in the outpatient group were younger (p < 0.01) and had a lower mean Charlson Comorbidity Index group (p = 0.01). There was no significant difference in gender, BMI, ASA scores, and complication rates between the two groups. CONCLUSION: Through the application of an ABC framework, this value-based healthcare study demonstrates that outpatient procedures are a cost-effective approach to knee arthroplasty. Our findings demonstrate that the total cost of outpatient TKA was on average 15% ($1,060 CAD) lower than the cost of TKA with the standard inpatient postoperative care protocol.
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".