Evidence map›Paper›PMID 39911509›Full record

ReviewAntimicrobial stewardship & healthcare epidemiology : ASHE2025

A systematic review on how primary care electronic medical record data have been used for antimicrobial stewardship.

Ron Cheah, Caroline Chen, Daniel Capurro, Jo-Anne Manski-Nankervis, Vlada Rozova, Karin Thursky

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. 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.

Ron CheahThe National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-7018-6208
Caroline ChenThe National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-9512-0448
Daniel CapurroSchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-9256-1256
Jo-Anne Manski-NankervisPrimary Care and Family Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0003-2153-3482
Vlada RozovaSchool of Computing and Information Systems, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-1032-4650
Karin ThurskyThe National Centre for Antimicrobial Stewardship, Department of Infectious Diseases, Melbourne Medical School, The University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0002-7400-232X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This systematic review aims to synthesize evidence from current literature to describe how Electronic Medical Record (EMR) primary care data have been used for antimicrobial stewardship activities internationally. Design: Systematic literature review. Methods: We searched Cumulative Index to Nursing and Allied Health Literature (CINAHL), PubMed, Embase, Scopus, and Web of Science from January 1, 2013 to September 23, 2023 to retrieve studies that included concepts of "antimicrobial stewardship," "primary care," and "electronic medical records." We used narrative synthesis to classify and interpret results. Data were grouped and tabulated by similar themes and concepts, including strengths, facilitators, barriers, and limitations for antimicrobial stewardship. Results: A total of 265 articles were identified from the initial search, of which 34 full-text articles from 10 countries met all criteria and were included in the review. Six categories of EMR data use were identified from the studies, these were for: assessing antimicrobial prescribing quality, measuring the effectiveness of an intervention, analyzing antimicrobial prescribing trends, assessing patient and provider characteristics in prescribing, evaluating novel tools or measures, and measuring specific conditions and outcomes. Facilitators of use of EMR data were generally well-described across the studies reviewed; however, barriers were not. Barriers described were centered around EMR system design and technical challenges in data extraction. Completeness of EMR data was the most consistently described limitation. Conclusions: Our study highlights the range of uses of EMR data in supporting AMS in primary care internationally, and its strengths, facilitators, and barriers to use.

Identifiers

PMID39911509
PMCPMC11795443

What OpenQuestion holds

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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.