Impact of an Outpatient Appendectomy Protocol on Clinical Outcomes and Cost: A Case-Control Study
Bibliographic record
Abstract
BACKGROUND: Although elective outpatient surgery is commonplace, surgeons remain hesitant to discharge patients the same day after emergent surgery. We created a formal protocol to select patients for early discharge after laparoscopic appendectomy for acute appendicitis, and we assessed its safety and potential cost savings. STUDY DESIGN: We matched patients who were discharged early from the recovery room with similar patients from a control group on the basis of age ± 3 years, presence or absence of a comorbidity, laparoscopic procedure, and nonperforated appendicitis; we compared them to assess the impact of early discharge on morbidity, return visits to the emergency room, and total cost incurred by our institution. RESULTS: During the first year of our protocol, 72 of 161 (45%) patients who presented with acute appendicitis and underwent appendectomy were discharged early, with a median post-operative length of stay of 4.7 hours. When compared with matched controls, patients discharged early had similar complication rates (4.3% early group vs 7.1%, p = 0.72) and number of postoperative visits to the emergency room (11.4% vs 11.4%, p = 0.8), but had a reduced median length of stay (4.7 vs 16.2 hours, p < 0.001) and an average reduction in cost of $323.46 per patient. CONCLUSIONS: Adoption of a protocol to select patients for early discharge after laparoscopic appendectomy resulted in a 45% reduction in the need for in-hospital beds, with no negative impact on return visits to the emergency room or number of complications. This translates to an approximate savings of $323 per patient when compared with standard care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".