Evidence map›Paper›PMID 42746622›Full record

ArticleJournal of pharmaceutical policy and practice2026

Patterns of antibiotic use among adult patients across seven hospitals in Malawi: opportunities and challenges for antimicrobial stewardship programmes.

Adriano F Lubanga, Akim N Bwanali, Watipaso Kamanga, Sibongile Kondowe, Ellen Nzima, Annie Mwale, Enerico Chrisp, David Nyirenda, Steward Mudenda, Joseph Chizimu and 4 more

Abstract read
In one paragraph

Article in Journal of pharmaceutical policy and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

14 authors.

Adriano F LubangaClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.ORCID https://orcid.org/0000-0002-5491-5412
Akim N BwanaliClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.ORCID https://orcid.org/0009-0005-2070-0041
Watipaso KamangaClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.
Sibongile KondoweMinistry of Health, Antimicrobial Resistance National Coordination Centre, Public Health Institute of Malawi, Lilongwe, Malawi.
Ellen NzimaMinistry of Health, Antimicrobial Resistance National Coordination Centre, Public Health Institute of Malawi, Lilongwe, Malawi.
Annie MwaleMinistry of Health, Antimicrobial Resistance National Coordination Centre, Public Health Institute of Malawi, Lilongwe, Malawi.
Enerico ChrispClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.
David NyirendaClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.
Steward MudendaDepartment of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia.ORCID https://orcid.org/0000-0003-1692-8981
Joseph ChizimuAntimicrobial Resistance Coordinating Committee, Zambia National Public Health Institute, Lusaka, Zambia.ORCID https://orcid.org/0000-0002-2126-5759
Samuel MpinganjiraDepartment of Global Health, University of Washington, Seattle, WA, USA.ORCID https://orcid.org/0000-0002-2034-7701
Cynthia ChituleClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.
Thomas NyirendaClinical Research Education and Management Services (CREAMS), Lilongwe, Malawi.ORCID https://orcid.org/0000-0003-4727-7130
Collins MitamboMinistry of Health, Antimicrobial Resistance National Coordination Centre, Public Health Institute of Malawi, Lilongwe, Malawi.ORCID https://orcid.org/0000-0001-6840-4958

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is one of the top threats to global health, with a disproportionately higher burden in low-and middle-income countries. It is largely driven by excessive and improper use of antibiotics. Optimising antibiotic use has been shown to curb the propagation of AMR. However, this requires data on pre-existing levels and trends of antibiotic use in the healthcare setting that would inform the initiation of appropriate antimicrobial stewardship programmes. Therefore, we carried out this point prevalence survey (PPS) to determine the current patterns of antibiotic use among adult patients across seven facilities in Malawi.We conducted a point prevalence survey using Global Point Prevalence survey forms across three secondary level and four tertiary level hospitals in Malawi between 30 September and 11 October 2024. The survey included all patients who were admitted before 8.00am on the days of data collection, and data were collected on the same day. Adult patient-level antibiotic use data were extracted from medical records using a modified Global point prevalence survey form. Data collected were entered into an Excel sheet and analysed using IBM SPSS version 26 using simple descriptive statistics. Results: The survey included a total of 2050 patients across all Hospitals. Overall, antibiotic use was 41.0%, with the highest usage recorded in the Intensive care unit at 62.5%. Ceftriaxone was the most used antibiotic. The highest usage proportion was registered at Mangochi District Hospital (61.5%). The most common indication for antibiotic use was central nervous system infections. Most (74.2%) of the prescriptions were not accompanied by infection biomarkers. However, there was a good self-reported adherence to treatment guidelines. Conclusion: The PPS shows rising antibiotic use across AWaRe classes, with more empiric treatments, highlighting the urgent need for antimicrobial stewardship to prevent misuse, resistance, and reduced effectiveness.

Indexed as

Antibioticsantimicrobial resistanceantimicrobial stewardshipMalawipoint prevalence

Identifiers

PMID42746622
PMCPMC13577294

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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.