Evidence map›Paper›PMID 42290911›Full record

ReviewJAC-antimicrobial resistance2026

The impact of interventions to modify antibiotic use in children with suspected infections in ambulatory healthcare settings in LMICs: a systematic review.

Jack S Hardman, Gift Chareka, Elizabeth O'Mahony, Admire S Murongazvombo, Christine Chew, Sunanda C Ray, Shunmay Yeung, Felicity C Fitzgerald

Abstract readReview
In one paragraph

Review in JAC-antimicrobial resistance, 2026. 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

8 authors.

Jack S HardmanInfection, Immunity and Inflammation, UCL Great Ormond Street Institute of Child Health, London, UK.
Gift CharekaFaculty of Medicine and Health Sciences, University of Zimbabwe Clinical Trials Research Centre, Harare, Zimbabwe.
Elizabeth O'MahonyCentre for Genomics and Child Health, Blizard Institute, Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0001-8168-8182
Admire S MurongazvomboDepartment of Health, Bindura University of Science Education, Bindura, Zimbabwe.
Christine ChewSchool of Cellular and Molecular Medicine, University of Bristol, Bristol, UK.
Sunanda C RayDepartment of Medical Education, University of Botswana, Gaborone, Botswana.
Shunmay YeungClinical Research Department, Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, London, UK.ORCID https://orcid.org/0000-0002-0997-0850
Felicity C FitzgeraldDepartment of Infectious Disease, School of Medicine, Imperial College London, London, UK.ORCID https://orcid.org/0000-0001-9594-3228

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Antimicrobial resistance (AMR) is a growing threat to child health in low- and middle-income countries (LMICs), where inadequate antibiotic access frequently causes morbidity and mortality. We sought to identify effective interventions to optimize antibiotic use in children with suspected infections in LMIC ambulatory healthcare settings. Methods: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Infectious Disease Group Specialized Register, Web of Science, PsycInfo, WHO library database (WHOLIS) and regional databases (inception until 16 December 2024) were searched to identify studies of interventions to optimize antibiotic use in children in LMIC peripheral healthcare settings. Results: Our search identified 7154 articles post de-duplication; 23 studies met the inclusion and Integrated quality Criteria for the Review of Multiple Study designs (ICROMS) assessment criteria. Seventeen were randomized trials, conducted in five LMICs, four upper-middle income countries (UMICs) and two low-income countries (LICs). Single-intervention studies investigated electronic algorithms ( Conclusions: Initial evidence suggests that algorithmic decision-support tools combined with point-of-care diagnostics and provider education can reduce antibiotic prescribing in children attending ambulatory healthcare settings in LMICs, with most studies demonstrating no compromise of clinical outcomes. However, few studies assessed prescription appropriateness or microbiological outcomes, limiting conclusions about long-term impact. Future interventions should prioritize context-adaptable strategies that incorporate rapid diagnostics, evaluate clinical and appropriateness outcomes, and consider implementation feasibility across diverse LMIC settings.

Identifiers

PMID42290911
PMCPMC13263530

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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.