Evidence map›Paper›PMID 41105617›Full record

ArticlePloS one2025

Antimicrobial stewardship programs and antibiotic use in Africa: A systematic review and meta-analysis protocol.

Ammas Siraj Mohammed, Dawit Abrham

Abstract read
In one paragraph

Article in PloS one, 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

2 authors.

Ammas Siraj MohammedClinical Pharmacy Department, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.ORCID https://orcid.org/0000-0001-9575-7556
Dawit AbrhamClinical Pharmacy Department, School of Pharmacy, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a significant public health crisis, particularly in Africa where infectious disease burdens are high. While antimicrobial stewardship programs (ASPs) are a key intervention, a comprehensive synthesis of their impact on antibiotic use in this context is lacking.

objectiveThis systematic review and meta-analysis aims to synthesize current evidence regarding the association between ASPs and antibiotic use in Africa.

methodsMEDLINE (PubMed), Embase, CINAHL, Web of Science, and regional databases including african journals online and WHO global index medicus will be searched systematically. Original studies of the association of ASPs with antimicrobial consumption across healthcare settings will be included while Animal and environmental studies will be excluded. Two independent reviewers will screen articles, extract data, and assess quality using the Effective Public Health Practice Project (EPHPP) quality assessment tool. The main outcome measures will be proportion of patients receiving anantibiotic prescription and defined daily doses per 100 patient days. The pooled association of targeted ASPs with antimicrobial consumption will be be measured using multilevel random-effects models. EXPECTED OUTCOMES: This systematic review and meta-analysis is expected to provide valuable, pooled evidence on the effectiveness of ASPs in reducing antimicrobial consumption in Africa. The findings will inform and call for evidence based interventions by governments and Non-Governmental Organizations (NGOs) to combat AMR in resource limited settings. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD420251003018.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipAfricaHumansMeta-Analysis as TopicSystematic Reviews as TopicAnti-Bacterial Agents

Identifiers

PMID41105617
PMCPMC12533884

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.