Evidence map›Paper›PMID 42038618›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Inappropriate antibiotic prescribing for acute respiratory illnesses in outpatient settings in New York City, 2019-2022.

Celina N Santiago, Katelynn Devinney, Molly M Kratz, Elise Mantell, Elizabeth Cave, Karen A Alroy, William G Greendyke, Nicole Burton

Abstract read
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Celina N SantiagoBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0000-0002-1536-964X
Katelynn DevinneyBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0000-0003-3395-1534
Molly M KratzBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0009-0008-9538-8410
Elise MantellBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0000-0001-5867-0902
Elizabeth CaveBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0009-0004-7755-6573
Karen A AlroyBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0000-0002-1867-4762
William G GreendykeBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.ORCID https://orcid.org/0000-0002-0728-0274
Nicole BurtonBureau of Communicable Diseases, New York City Department of Health and Mental Hygiene, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inappropriate antibiotic prescribing contributes to antibiotic resistance threats. In outpatient settings, antibiotics are often incorrectly prescribed for acute respiratory illnesses (ARI). Characteristics associated with inappropriate antibiotic prescribing at New York City (NYC) outpatient ARI visits were assessed to identify opportunities for interventions. Methods: Using IQVIA's commercial Medical Claims and Longitudinal Prescription datasets, medical diagnosis codes identified outpatient visits for ARI during 2019-2022, which were linked to antibiotics obtained at a pharmacy (as a proxy for prescribed antibiotics) within 3 days post-visit. Univariate analyses were conducted describing visit, patient, and provider characteristics. Modified Poisson regression with robust error variance was used to calculate unadjusted relative risks (RR) and 95% CI for visit-level characteristics associated with inappropriate prescribing. Results: Among 3,493,444 ARI outpatient visits, 5.1% linked to an inappropriate antibiotic prescription. Among all ARI, bronchitis/bronchiolitis had the highest percentage (25.5% of bronchitis/bronchiolitis visits) and highest risk of inappropriate prescribing relative to asthma/allergy (RR: 18.03; 95% CI: 17.70, 18.38). Adults aged 65-79 years were over twice as likely to be prescribed inappropriate antibiotics relative to children (RR: 2.21; 95% CI: 2.17, 2.25). Inappropriate prescribing was highest in urgent care (8.4%) (RR: 1.25; 95% CI: 1.23, 1.27) relative to offices and among internal medicine physicians (8.0%); relative to these physicians, risk of inappropriate prescribing among all other physician specialties was lower. Conclusions: Inappropriate antibiotic prescribing at ARI outpatient visits was uncommon. Tailoring interventions to providers such as internal medicine physicians or those in urgent care settings may improve prescribing practices.

Identifiers

PMID42038618
PMCPMC13104526

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.