Escort accompanying discharge after ambulatory surgery: a necessity or a luxury?
Bibliographic record
Abstract
PURPOSE OF REVIEW: There is a growing demand for greater efficiency in ambulatory surgery. The patient population is increasingly sick which is also undergoing more advanced and complex surgery. This creates a danger in discharging patients without meeting the criterion of requirement of a responsible adult as an escort to accompany the patient home. The purpose of this review is to examine the most recent findings to determine whether an escort for patient discharge is necessary. RECENT FINDINGS: Recent studies have outlined the risks of discharging patients without escort after ambulatory anesthesia. There are three aspects that deter discharge of patients without an escort: medication used in general anesthetics or sedation; regional anesthesia; and surgical factors. All these can affect the cognitive, memory and psychomotor function of the patients, deeming them unable to perform normal daily activities such as driving. SUMMARY: Both clinicians and patients may have underestimated the risks associated with discharging patients without an escort after ambulatory anesthesia. There should be greater awareness of this problem. Patient discharge without an escort after ambulatory surgery under general anesthesia, sedation or premedication can potentially be dangerous and is not recommended.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".