General practitioner prescribing trends among pediatric patients in the United Kingdom: 1998–2018
Bibliographic record
Abstract
PURPOSE: To describe the prescribing trends of 17 therapeutic drug categories and the specific drug classes of systemic antibiotics, analgesics, and antidepressants in children and adolescents in the United Kingdom between 1998 and 2018. METHODS: A population-based retrospective cohort study including children and adolescents aged 018 years. Overall and annual prescription rates per 10 000 person-years and corresponding 95% confidence intervals (CIs) were calculated. Rate ratios and 95% CIs were calculated to assess changes in prescription rates during the study period using Poisson regression. RESULTS: Among 4 075 527 children and adolescents during the study period from 1998 to 2018, the prescribing rates increased by 15% for attention deficit hyperactivity disorder drugs (rate ratio: 1.15, 95% CI: 1.12-1.18), 14% for anxiolytics and hypnotics (rate ratio: 1.14, 95% CI: 1.13-1.16), and 8% for drugs for gastroesophageal reflux disease (GERD) (rate ratio: 1.08, 95% CI: 1.07-1.09). Prescribing rates decreased by 6% for cough preparations (rate ratio: 0.94, 95% CI: 0.92-0.95) and by 3% for analgesics (rate ratio: 0.97, 95% CI: 0.96-0.99). No meaningful changes were observed for systemic antibiotics (rate ratio: 1.02, 95% CI: 0.99-1.04). Among specific drug classes, prescribing rates decreased for broad-spectrum penicillins and cephalosporins, and they increased for selective serotonin reuptake inhibitors, opioids, and drugs for migraine. CONCLUSIONS: Between 1998 and 2018, the prescribing of centrally acting drugs and drugs for GERD increased among pediatric patients, whereas prescribing of cough preparations and analgesics declined in this population.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".