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Record W4406945201 · doi:10.1093/ofid/ofae631.051

171. Retrospective Review of Management of Acute Otitis Media in a Canadian Pediatric Emergency Department

2025· article· en· W4406945201 on OpenAlexaffabout
Gunjan Mhapankar, Carsten Krueger, Waleed Alqurashi, Ewa Sucha, Richard Webster, Jennifer Bowes, Nicole Le Saux

Bibliographic record

VenueOpen Forum Infectious Diseases · 2025
Typearticle
Languageen
FieldMedicine
TopicEar Surgery and Otitis Media
Canadian institutionsAlberta Children's HospitalChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineEmergency departmentAcute otitis mediaOtitisRetrospective cohort studyPediatricsEmergency medicineMedical emergencyIntensive care medicineInternal medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Acute Otitis Media (AOM) is a leading cause of antibiotic prescription in children. Watchful waiting is the preferred strategy for AOM management for mildly ill children ≥ 2-years-old however current clinical practice varies. This study aims to compare published AOM guidelines by the Canadian Pediatric Society (CPS) with clinical practice in a Canadian academic tertiary care emergency department (ED). Methods We performed a retrospective review on AOM ED visits at the Children’s Hospital of Eastern Ontario (CHEO) from 1/2021 to 12/2021. Measures of non-adherence to the CPS AOM guideline were defined as follows: missed opportunity for watchful waiting, diagnostic criteria absent or not recorded, prolonged duration of treatment, lack of immediate treatment, and inappropriate agent. Additionally we explored if guideline-discordant antibiotic prescribing practices differ by geographic locale (rural vs non-rural as determined by postal code) and preferred language. The postal code was linked to a Material and Social Deprivation Index (MSDI) from INSPQ as a proxy for socio-economic status. Results 442 patients were included (Table 1). 66.5% patients met criteria of non-adherence (Table 2). 41.9% patients received antibiotics despite being categorized as mildly ill. 29.6% patients received antibiotics, despite having no/undocumented middle ear effusion or bulging tympanic membrane. 6.6% received longer duration of antibiotics (10 days) despite lack of complications such as perforation. 4.1% received non-penicillin antibiotics as first-line treatment. 1.4% received parachute prescriptions despite being categorized as severely ill. After controlling for language and rurality, the odds of being in any non-adherence group were not higher for patients in higher deprivation quintiles compared to those in the lowest deprivation quintile (Figure 1, 2).Figure 1.Distribution of Material Deprivation Quintiles by Non-adherence Type Conclusion 2/3rd of ED patients met criteria of guideline non-adherence. Material deprivation was not a predictor of non-adherence. The two domains of watchful waiting and applying diagnostic criteria can serve as specific benchmarks to improve antibiotic prescribing practices in ED settings. Pragmatic management of AOM using current guidelines may be biased towards immediate treatment rather than timely follow-up.Figure 2.Odds ratio of any non-adherence for material deprivation quintile adjusted for language and rurality Disclosures All Authors: No reported disclosures

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.016
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.007
GPT teacher head0.287
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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