Emergency department use and hospital admission in children following ambulatory surgery: a retrospective population-based cohort study
Bibliographic record
Abstract
Introduction: Paediatric ambulatory surgery (same day surgery and planned same day discharge) is more frequently being performed more in Canada and around the world; however, after surgery children may return to hospital, either through the emergency department (ED) or through a hospital admission (HA). The aim of this study was to determine the patient characteristics associated with ED visits and HA in the 3 days following paediatric ambulatory surgery. Methods: This population-based retrospective cohort study used de-identified health administrative database housed at ICES and included residents of Ontario, younger than 18 years of age, who underwent ambulatory surgery between 2014 and 2018. Patients were not involved in the design of this study. The proportion of ED visit and HA were calculated for the total cohort, and the type of surgery. The ORs and 95% CIs were calculated for each outcome using logistic regression. Results: 83 468 children underwent select ambulatory surgeries. 2588 (3.1%) had an ED visit and 608 (0.7%) had a HA in the 3 days following surgery. The most common reasons for ED visits included pain (17.2%) and haemorrhage (10.5%). Reasons for HA included haemorrhage (24.8%), dehydration (21.9%), and pain (9.1%). Conclusions: Our findings suggest that pain, bleeding and dehydration symptoms are associated with a return visit to the hospital. Implementing approaches to prevent, identify and manage these symptoms may be helpful in reducing ED visits or hospital admissions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".