Improving inpatient paediatric de-labelling of allergies to beta-lactams: a quality improvement study
Bibliographic record
Abstract
OBJECTIVE: To evaluate the implementation of an antimicrobial stewardship programme-led inpatient beta-lactam allergy de-labelling programme using a direct oral provocation test (OPT). DESIGN: One-year quality improvement study using a before-after design. SETTING: Free-standing tertiary care paediatric hospital. PATIENTS: Patients with a reported beta-lactam allergy admitted to the paediatric medicine inpatient unit. INTERVENTIONS: Following standardised assessment and risk stratification of reported symptoms, patients with a low-risk history were offered an OPT. Beta-lactam allergy labels were removed if a reported history was considered non-allergic or after successful OPT. MAIN OUTCOME MEASURES: Removal of inappropriate beta-lactam allergy labels. RESULTS: 80 patients with 85 reported beta-lactam allergies were assessed. Median age was 8.1 years (IQR 4.8-12.9) and 34 (42%) were female. The majority (n=55, 69%) had an underlying medical condition. Amoxicillin was the most reported allergy (n=25, 29%). Reported reactions were primarily dermatological (n=65, 77%). Half of participants (n=40) were ineligible for OPT, with equal proportions due to clinical reasons or the nature of the reported reaction. Of the 40 eligible patients, 28 patients (70%) were de-labelled either by history alone (n=10) or OPT (n=18). All OPTs were successful. De-labelling allowed five additional patients (11% of those receiving antibiotics) to receive the preferred beta-lactam. Including patients who were subsequently assessed in the allergy clinic, almost half of all evaluated patients were de-labelled (n=37, 46%). CONCLUSIONS: An antimicrobial stewardship programme-led programme using a direct OPT was feasible and safe for expanding beta-lactam allergy de-labelling to paediatric patients admitted to the paediatric medicine inpatient unit.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".