Does a paediatric after-hours clinic use evidence-based guidelines in the management of acute otitis media?
Bibliographic record
Abstract
OBJECTIVE: To determine whether a paediatric after-hours clinic uses evidence-based management in the treatment of acute otitis media, and compare this management with that provided in a paediatric emergency department and a general hospital emergency department. METHODS: A retrospective chart review of 573 patients (aged six months to five years) with a discharge diagnosis of acute otitis media was conducted in three after-hours settings: a paediatric after-hours clinic, a tertiary paediatric hospital emergency department and a secondary general hospital emergency department. The patients' age, weight, sex and allergy to antibiotics were recorded as baseline characteristics. The physicians' antibiotic choice, dose and duration, and the use of investigations were recorded as outcome variables. RESULTS: Amoxicillin was prescribed to 68% of patients at both the paediatric after-hours clinic and the paediatric hospital emergency department, compared with 53% of patients at the general hospital emergency department (P<0.01). The mean dose of amoxicillin prescribed at the paediatric after-hours clinic and the paediatric hospital emergency department were similar (43.4±9.7 mg/kg per day and 42.4±14.3 mg/kg per day, respectively) and higher than that prescribed at the general hospital emergency department (38.6±8.8 mg/kg per day, P<0.01). The paediatric after-hours clinic used investigations less often than did emergency departments (0.5% of cases compared with 9% and 20%, P<0.01). CONCLUSION: The paediatric after-hours clinic provided a high level of adherence to a clinical practice guideline and had a low utilization of resource intensive investigations.
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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 | 0.011 | 0.086 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".