Interventions to Minimize Unnecessary Antibiotic Use for Acute Otitis Media: A Meta-Analysis
Bibliographic record
Abstract
Backgrounds/Objectives: Acute otitis media (AOM) is the leading reason antibiotics are prescribed to children. Despite guidelines advocating for watchful waiting and shorter antibiotic durations, overprescribing remains a concern. This meta-analysis aims to quantify potential reduction in antibiotic days of therapy (DOT) for AOM if prescribers adhered to guidelines. Methods: Cochrane databases were sourced for studies on ear infections, diagnostic accuracy, antibiotic duration, and watchful waiting. Randomized clinical trials, observational studies, and quality improvement reports of children aged 6 months–17 years with uncomplicated AOM published between 2000 and 2024 from the U.S., Canada, and Europe. Of 4187 studies, 425 met selection criteria. PRISMA guidelines were adhered to for independent extraction by multiple reviewers. Pooled prevalence of AOM outcomes and odds ratios (OR) for effectiveness interventions were calculated using the DerSimonian-Laird random effects model. A simulation study compared current practice to national guidelines. Results: Eighty-six studies found an estimated 107 million DOT prescribed to children in the U.S. annually for AOM. Following the American Academy of Pediatrics’ guidelines could reduce DOT by 57.9 million days (54%). Adherence to NICE guidelines could reduce DOT by 74.1 million days (70%). Watchful waiting and short-course antibiotic interventions had pooled Ors of 4.35 and 7.12, respectively, for decreasing DOT. Conclusions: Adherence to guidelines for AOM management could avert millions of antibiotic DOT. Watchful waiting and short-duration interventions are most impactful on antibiotic overprescribing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.013 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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 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".