ArticleBMJ health & care informatics2026
Characterising 'Watch and Wait' prescribing patterns in paediatric otitis media using large language models and pharmacy dispense data.
Article in BMJ health & care informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Linking Dispense Data to Electronic Health Orders: Tutorial for Querying Commercial Pharmacy Databases to Support Systemwide Quality Improvement.Journal of medical Internet research · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAcute otitis media (AOM) is a leading cause of antibiotic prescribing in children although many cases resolve without treatment. 'Watch and wait' or safety-net antibiotic prescriptions (SNAPs) are recommended to support antibiotic stewardship. However, SNAP use and dispensing patterns are not well captured in structured data. This study evaluated SNAP prescribing, dispensing and associated demographic and clinical factors using a large language model (LLM).
methodsRetrospective cross-sectional study of 4370 AOM encounters (ages 6 months-<18 years) from 1 January 2021 to 1 January 2024 at a single academic centre, including emergency and outpatient visits. An LLM reviewed clinician notes to classify prescriptions as immediate ('treatment today prescriptions' (TTPs)) or delayed (SNAP). Dispensing data were linked from Epic Clarity.
resultsOf 4370 encounters, 76.6% received TTP and 23.4% received SNAPs. Patients who spoke a language other than English and those in lower socio-economic quartiles were less likely to receive SNAPs (eg, average marginal effect (AME) = -8.0%, p<0.001). Boys were also less likely to receive SNAPs. SNAPs were less likely to be filled than TTPs (AME = -12.1%, p<0.001). Among patients who received a SNAP, time to dispensing did not differ significantly across demographic or clinical factors.
conclusionSNAP prescribing varied across demographic and clinical groups, while dispensing patterns among SNAP recipients were similar across groups. These findings highlight variability in SNAP use and underscore the need for further research to better understand factors influencing prescribing and to support equitable antibiotic stewardship.
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