P.119 Impact of postoperative discharge destination on length of stay
Bibliographic record
Abstract
Background: The aim of this study is to assess factors impacting the postoperative length of stay (LOS) for patients undergoing microvascular decompression (MVD) surgery. Methods: A consecutive series of patients undergoing MVD at the Winnipeg Centre for Cranial Nerve Disorders were reviewed. All patients were monitored in a neurosurgical stepdown unit for at least 6 hours postoperatively and when medically stable discharged at their own discretion. The hospital LOS was measured in hours from midnight after day of surgery and categorized by days in hospital. Results: The 112 patients included 53 Manitobans (MB) and 59 from out of province (OOP). The overall LOS was 38±52 hours, and not significantly different between genders, diagnosis or age. LOS was significantly shorter for OOP versus MB patients (28±23/48±71 hours; p=0.02). OOP patients were also more often discharged on the first postoperative day (59% versus 32%; p=0.02) and 85% of them stayed at the hotel within the hospital complex prior to travelling home. Conclusions: Postoperative discharge to an adjacent hotel appears to have led to shorter LOS. These patients may have been reassured by the physical proximity to medical care. The utilization of discharge to an adjacent hotel or comparable faculty may reduce hospitalization days and associated 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 | 0.000 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".