Unplanned hospital admission in children undergoing day-case surgery
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Unplanned hospital admission is a measure of quality of care in the setting of day-case surgery. We set out to identify the incidence and causes of unplanned hospital admission in a paediatric day-case unit. METHODS: A retrospective survey to determine the incidence and causes of unplanned hospital admissions in children undergoing day-case surgery. The survey covered the period from January 1996 until December 1999 inclusive in a university affiliated children's hospital. This hospital is the second largest paediatric referral centre in Ireland with total admissions across all specialities during the study period of 42 738. RESULTS: During the study period 10 772 children underwent day-case surgery, of whom 242 (2.2%) experienced unplanned hospital admission. The reasons for admission were surgical 146 (54%), anaesthetic 44 (16%), social 38 (14%), medical 31 (11%) and unclassified 10 (4%). Pain, surgical complications and/or further management, admission for observation, extensive surgery and oozing were the commonest surgical reasons. Postoperative nausea and vomiting, anaesthetic-related complication and somnolence were the commonest anaesthetic causes responsible for admission. Surgery performed after 15:00 h was an important factor associated with admission for social reasons. Orthopaedic surgery accounted for the largest absolute number of unplanned admissions with 61 (25%), followed by urology with 46 (19%) and general surgery with 46 (19%). However, measured as percentage of caseload, urology had the highest proportion of unplanned hospital admissions. CONCLUSION: This study demonstrated that the incidence and causes of unplanned hospital admission following day-case surgery in children are similar to those for adults.
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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) | 0.000 | 0.000 |
| 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".