Evidence map›Paper›PMID 41127150›Full record

ReviewAntimicrobial stewardship & healthcare epidemiology : ASHE2025

How to leverage medication use evaluations for antimicrobial stewardship goals: a primer for physicians.

Ritika Prasad, Radhika Arya, Lina Meng, Marisa Holubar, William Alegria, Alex N Zimmet

Abstract readReview
In one paragraph

Review 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. Not yet cited in PubMed.

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

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

6 authors.

Ritika PrasadDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Radhika AryaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Lina MengDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-6874-7798
Marisa HolubarDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0002-7585-1809
William AlegriaDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Alex N ZimmetDivision of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID https://orcid.org/0000-0003-3337-0043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication Use Evaluations (MUEs) are structured quality improvement tools used to optimize medication use within healthcare systems. MUEs can explore safety concerns, high costs, or inappropriate use associated with any medication, among other factors. This can offer a valuable opportunity for Antimicrobial Stewardship Programs (ASPs) to promote stewardship goals, which often overlap with these concerns for specific antimicrobials. MUEs can also provide an avenue to promote interdisciplinary collaboration with targeted groups relevant to the ASP's goals as well as an opportunity to give trainees ownership of system-facing stewardship projects. Stewardship pharmacists may often have experience with leading this process as part of their training, but MUEs represent a gap in training for physicians. Here we provide guidance on how stewardship physicians can engage in the MUE process, from identifying relevant topics to interpreting findings and supporting implementation efforts, allowing them to contribute effectively even without prior MUE experience.

Identifiers

PMID41127150
PMCPMC12538338

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.