Evidence map›Paper›PMID 41306705›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2025

Collaboration to harmonize antimicrobial registry measures (CHARM) database analysis of antibiotic prescribing in urgent and non-urgent care: a retrospective study on demographic factors.

Tan Vo, Kushal Dahal, Michael Klepser, Benjamin Pontefract, Kaylee E Caniff, Minji Sohn

Abstract read
In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Tan VoFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0009-0002-3745-640X
Kushal DahalFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0009-0000-1879-1232
Michael KlepserFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0000-0001-9025-9099
Benjamin PontefractFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0000-0002-6675-4409
Kaylee E CaniffFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0000-0003-1468-8267
Minji SohnFerris State University College of Pharmacy, Big Rapids, MI, USA.ORCID https://orcid.org/0000-0002-7066-7789

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare demographic patterns, diagnosis distribution, and prescribing trends between urgent care and non-urgent care clinics for infectious disease encounters across age groups. Design: Retrospective cross-sectional study. Setting: Outpatient encounters from 93 facilities (7 urgent care, 86 non-urgent clinics) in a single Michigan health system, from January 2021 to December 2024. Participants: A total of 161,328 outpatient encounters involving an antibiotic prescription. Data were stratified by age group, sex, race, insurance type, and care setting. Methods: Antibiotic prescription and ICD-10 diagnosis data were extracted from the CHARM database and compared across settings using χ Results: Urgent care encounters involved younger patients (median age 45 vs 55 yr, Conclusions: Comparatively, a larger proportion of urgent care visits were for patients under the age of 18 and for patients with URTIs. Meanwhile, a greater proportion of non-urgent care encounters were for patients over the age of 60 years old and patients with unspecified UTI.

Identifiers

PMID41306705
PMCPMC12645235

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Registered trials

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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.