Evidence map›Paper›PMID 40765632›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Outpatient antibiotic stewardship during the COVID-19 era: analysis of prescribing trends and guideline compliance.

Minji Sohn, Benjamin Pontefract, Kushal Dahal, Michael Klepser

Abstract read
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Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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

4 authors.

Minji SohnCollege of Pharmacy, Ferris State University, Big Rapids, Michigan, USA.ORCID https://orcid.org/0000-0002-7066-7789
Benjamin PontefractCollege of Pharmacy, Ferris State University, Big Rapids, Michigan, USA.ORCID https://orcid.org/0000-0002-6675-4409
Kushal DahalCollege of Pharmacy, Ferris State University, Big Rapids, Michigan, USA.
Michael KlepserCollege of Pharmacy, Ferris State University, Big Rapids, Michigan, USA.ORCID https://orcid.org/0000-0001-9025-9099

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze antibiotic prescribing trends and guideline concordance in outpatient settings using electronic health records (EHRs). Design: This quality improvement study utilized data from the Collaboration to Harmonize Antimicrobial Registry Measures (CHARM) database, which integrates antibiotic prescribing data extracted from the EHRs of various outpatient facilities. Setting: The study was conducted across 352 outpatient facilities in the United States. Participants: The study included oral antibiotic prescribing data from outpatient encounters from January 2021 to June 2023, encompassing 823,938 prescriptions. Methods: The primary outcomes were the rate of antibiotic prescribing per 1 000 prescription-related outpatient visits and identifying frequently prescribed antibiotics in adults and children. Secondary outcomes were the prescribing patterns for selected diagnoses and the concordance of these prescriptions with published guidelines. Results: The study estimated approximately a 20% increase in antibiotic prescribing per year, with an overall rate of 121.26 prescriptions per 1 000 prescription-related outpatient visits (95% confidence interval 121.01-121.50). Amoxicillin-clavulanate, amoxicillin, doxycycline, and cephalexin were most frequently prescribed. Sinusitis and otitis media were the most common reasons for prescribing antibiotics among adults and children, respectively. Less than 60% of sinusitis-related prescriptions were antibiotic concordant. Duration concordance rates were less than 70% for sinusitis, urinary tract infections, cellulitis, and Group A Streptococci. 51% of ciprofloxacin prescriptions were for patients aged 60 or older. Conclusions: The findings stress the need for strengthened antimicrobial stewardship in outpatient settings. The increasing rate of antibiotic prescriptions and discrepancies in guideline concordance reiterate the importance of ongoing monitoring and targeted interventions.

Identifiers

PMID40765632
PMCPMC12322779

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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.