Evidence map›Paper›PMID 40212050›Full record

ArticleEClinicalMedicine2025

Situational analysis of antibiotic prescriptions in Kenyan neonatal units for antimicrobial stewardship: a retrospective longitudinal study.

Jalemba Aluvaala, Timothy Tuti, Muthoni Ogola, Cherry Lim, Sean Cavany, Mike English, Clinical Information Network Author Group

Abstract read
In one paragraph

Article in EClinicalMedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

7 authors.

Jalemba AluvaalaHealth Services and Implementation Cluster, KEMRI-Wellcome Trust Research Programme, P. O Box 43640 - 00100, Nairobi, Kenya.
Timothy TutiHealth Services and Implementation Cluster, KEMRI-Wellcome Trust Research Programme, P. O Box 43640 - 00100, Nairobi, Kenya.
Muthoni OgolaHealth Services and Implementation Cluster, KEMRI-Wellcome Trust Research Programme, P. O Box 43640 - 00100, Nairobi, Kenya.
Cherry LimCentre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Old Road Campus, OX3 7LG, Oxford, UK.
Sean CavanyCentre for Global Health Research, Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Old Road Campus, OX3 7LG, Oxford, UK.
Mike EnglishHealth Services and Implementation Cluster, KEMRI-Wellcome Trust Research Programme, P. O Box 43640 - 00100, Nairobi, Kenya.
Clinical Information Network Author Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High antibiotic use in neonatal units may drive antimicrobial resistance and cause harm including mortality. We used data from 22 Kenyan neonatal units to (1) describe the proportion with antibiotic prescriptions at admission; (2) assess the predictors of non-first line antibiotic prescription; (3) estimate antibiotic use, and (4) explore postadmission antibiotic switching. Methods: Retrospective longitudinal study from 1st September 2020 to 31st October 2023. Antibiotics were classified as first line (penicillin plus gentamicin only), third generation cephalosporins (ceftazidime or ceftriaxone) or others. The proportion of antibiotic prescriptions were computed, and a multilevel logistic regression model used to analyse predictors of non-first line prescription. Antibiotic use was quantified by days of therapy (DOT) and length of therapy (LOT). Findings: Most neonates-62.6% (51,883/82,834)- received at least one antibiotic prescription at admission. Overall, first line antibiotics constituted 86% (44,636/51,883) but third generation cephalosporin use reached 100% in two facilities temporarily. The odds of non-first line prescription was greatest for outborn neonates (Odds ratio 2.27, 95% CI 2.12-2.43) while the estimated antibiotic consumption was 418 (389-500) per 1000 patient days by LOT and 744 (691-869) by DOT. From exploratory data post admission switching was most commonly to third generation cephalosporins. Interpretation: There is a high use of antibiotics potentially related to severity of illness at admission. Adherence to national guidelines for first line antibiotics is however generally high. Estimation of neonatal antibiotic prescription patterns and use over time and place is feasible and will be important in assessing the effectiveness of antimicrobial stewardship in Kenya and elsewhere in reducing antimicrobial resistance. Funding: This work was funded by the Wellcome Trust.

Indexed as

AntibioticsAntibiotic use: antimicrobial stewardshipNeonatal

Identifiers

PMID40212050
PMCPMC11985152

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