Antibiotic Availability and the Prevalence of Pediatric Pneumonia During a Physicians’ Strike
Bibliographic record
Abstract
BACKGROUND: Antibiotics are widely believed to be overpre-scribed for pediatric respiratory infections, yet there are few data available on the effect of a sudden decrease in antibiotic availability on pediatric infectious disease. OBJECTIVE: To determine whether the prevalence of radiographically diagnosed pneumonia changed over a period of decreased physician access and decreased antibiotic availability. DESIGN: A retrospective study was performed which reviewed the number of pediatric respiratory antibiotic prescriptions over a period which included a physicians' strike. The study examined whether antibiotic availability had been affected by the strike. Pediatric chest radiograph reports were reviewed for the same period to determine whether changes in antibiotic availability had affected the prevalence of radiographically diagnosable pneumonias among children presenting to a pediatric emergency room. RESULTS: While prescriptions for antibiotics fell by a minimum estimate of 28% during the strike, there was no change in the frequency of radiographic diagnoses of pneumonia. CONCLUSIONS: Respiratory antibiotics appear to be available in the community in excess of the amount required to control pneumonia. A 28% decrease in antibiotic availability did not result in a significant increase in respiratory disease.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".