1473. Guideline Adherence in Pediatric Ambulatory Visits for Acute Otitis Media
Bibliographic record
Abstract
Abstract Background Acute otitis media (AOM) is the most common pediatric outpatient condition treated with antibiotics in the United States. Over 30% of children receive inappropriate antibiotics for AOM, contributing to increasing antimicrobial resistance and unnecessary adverse events. Strict adherence to diagnostic and treatment guidelines has been proposed by the American Academy of Pediatrics (AAP) Committee on Infectious Diseases as one strategy to combat inappropriate antibiotic use. Our objective was to describe adherence to the 2013 AAP guidelines on AOM. Methods We performed a cross-sectional study on a random sample of visit notes for patients 3 to 59 months old diagnosed with otitis media based on ICD-10-CM codes (H65, H66, H67) and treated with antibiotics between 9/1/2017 and 8/31/2018 in an association of pediatric practices across Massachusetts. Children with tympanostomy tubes or a chronic medical condition increasing their risk for AOM were excluded. Based on the 2013 AAP diagnostic criteria, tympanic membrane exam descriptions were reviewed and classified as describing AOM or not. Antibiotic choices were classified as appropriate or inappropriate. Notes were then labeled as “fully adherent” (exam consistent with AOM and appropriate antibiotic choice), “partially adherent” (exam inconsistent with AOM or inappropriate antibiotic choice), and “non-adherent” (exam inconsistent with AOM and inappropriate antibiotic choice). Results Three hundred and ninety-four visit notes from 39 different practices were analyzed. One hundred and sixty-six notes (42%) were “fully adherent” to the AAP guidelines, 183 (46%) were “partially adherent” and 45 (11%) were “non-adherent” (Figure 1). In the “partially adherent” and “non-adherent” groups combined, exams were inappropriate in 179 notes (45.4%) and antibiotic choice was inappropriate in 94 notes (23.9%). Cefdinir was the most frequent inappropriate antibiotic (44/94, 46.8%) (Table 1). “Watchful waiting” occurred in only 7% (16/229) of eligible cases. Figure 1. Breakdown of encounters by adherence type Table 1. Cross-table of indicated and prescribed antibiotics Conclusion Our analysis of independent pediatric practices showed moderate adherence to the AAP guidelines for AOM. Substantial room exists for improvement in diagnosing and treating AOM in young children, especially regarding the potential for watchful waiting. Disclosures All Authors: No reported disclosures
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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 | 0.004 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".