Evidence map›Paper›PMID 42130502›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2026

Empiric outpatient antibiotic prescribing patterns in the emergency department.

Apoorvjyot Badwal, Brittany Buffone, Cindy San, Victor Leung, Colin Lee

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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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Apoorvjyot BadwalPharmacy, Fraser Health Authority, Surrey, Canada.ORCID https://orcid.org/0009-0001-7343-9175
Brittany BuffoneProvidence Health Care, Canada.
Cindy SanProvidence Health Care, Canada.
Victor LeungProvidence Health Care, Canada.
Colin LeeProvidence Health Care, Canada.ORCID https://orcid.org/0000-0002-1031-3065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Inappropriate antimicrobial use in outpatient settings, such as Emergency Departments (EDs), is associated with increased risk of morbidity, costs, and antibiotic resistance. Prescribing patterns and guideline concordance in the ED is not well described in the literature. The primary objective of this study was to describe the empiric outpatient antibiotic prescribing patterns for frequent community-acquired infections seen in the ED at a large tertiary care teaching hospital. The secondary objectives were to evaluate concordance of antimicrobial prescribing with local guidelines, quantify the proportion of patients requiring antibiotic modification based on culture results, and 30-day ED revisits for the same infection. Methods: A retrospective chart review was conducted on a convenience sample of 200 adult patients discharged from the ED between October 1, 2022 to July 18, 2023. Data was analyzed to determine prescribing patterns and guideline concordance. Results: The most common infectious syndrome observed was skin and soft tissue infections (SSTIs). Overall, discordance was observed in 80% of cases, with 100% discordance seen with the treatment of COPD exacerbation and mild purulent SSTIs. Guideline discordance was predominantly due to treatment duration (67%) and antimicrobial selection (43%). Culture-directed therapy modifications were minimal (5%). There was no significant difference between antimicrobial concordance and therapy modification or between overall guideline concordance and 30-day revisit rates. Conclusion: Outpatient antimicrobial prescribing in the ED remains suboptimal despite available treatment guidelines, particularly in skin and respiratory infections. Discordance, mainly driven by extended treatment durations, highlights the need for improved Antimicrobial Stewardship practices in ED settings.

Identifiers

PMID42130502
PMCPMC13162060

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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.