Evidence map›Paper›PMID 39693282›Full record

ArticlePloS one2024

Assessing antimicrobial use patterns in Christian Health Association of Malawi (CHAM) health facilities: A cross-sectional study protocol.

Evans Chimayi Chirambo, Francis Kachidza Chiumia, Dumisani Nkhoma, Collins Mitambo, Sharon Odeo, Patience Khomani, Innocent Chibwe, Simon Matchado, Pacharo Matchere, Beatrice Chiweza and 3 more

Abstract read
In one paragraph

Article in PloS one, 2024. 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

13 authors.

Evans Chimayi ChiramboDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.ORCID 0000-0003-2195-8931
Francis Kachidza ChiumiaSchool of Life Sciences and Allied Health Professions, Kamuzu University of Health Sciences (KUHES), Blantyre, Malawi.ORCID 0000-0003-3548-8061
Dumisani NkhomaDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.
Collins MitamboDepartment of Public Health Institute of Malawi, Ministry of Health-Antimicrobial Resistance National Coordinating Centre (MOH-AMR-NCC), Lilongwe, Malawi.
Sharon OdeoDepartment of Health Programmes, Ecumenical Pharmaceutical Network (EPN), Kilimani, Nairobi, Kenya.ORCID 0009-0002-8069-4446
Patience KhomaniDepartment of Pharmacy, Ekwendeni College of Health Sciences (ECOHS), Mzuzu, Mzimba, Malawi.
Innocent ChibweDepartment of Public Health Institute of Malawi, Ministry of Health-Antimicrobial Resistance National Coordinating Centre (MOH-AMR-NCC), Lilongwe, Malawi.ORCID 0000-0002-2252-0993
Simon MatchadoDepartment of IT, Pharmacy and Medicines Regulatory Authority (PMRA), Lilongwe, Malawi.
Pacharo MatchereDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.
Beatrice ChiwezaDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.
Elled MwenyekondeDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.
Elizabeth KampiraSchool of Life Sciences and Allied Health Professions, Kamuzu University of Health Sciences (KUHES), Blantyre, Malawi.
Happy MakalaDepartment of Health Programmes, Christian Health Association of Malawi (CHAM), Lilongwe, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The threat of antimicrobial resistance (AMR) in Malawi is high with reported mortality of 19,300 annually, the 23rd highest age-standardised mortality. One of the drivers of AMR is misuse of antibiotics, a phenomenon that has not been adequately researched in Malawi. This study aims to investigate antimicrobial use using health facility, prescribing and patient indicators in Christian Health Association of Malawi (CHAM) health facilities. This will be a multiple cross-sectional study, which will collect data from facilities (22), prescriptions (660), and patients (303). Data will be collected using KoboToolbox v2021, and exported into Microsoft Excel version 2016 for cleaning and coding. Variables will be categorised according to the antimicrobial use indicators. The study will use STATA Version 14 statistical software for data analysis. Subsequently, facilities will be entered into ArcGIS Version 10.7.1 to map hotspots of irrational antimicrobial use. The study will run from October 2024 to June 2025. This study will provide detailed information on frequently used antimicrobials, the cost of antimicrobials relative to medicine budget, the intensity of exposure to antimicrobials, the availability of antimicrobials, patients' understanding of antimicrobials use, and availability of important documents for antimicrobial use. Secondarily, the study will unravel the prevalence of irrational antimicrobial use, the main factors contributing to it, and location where irrational use is most prevalent. These findings will inform the national antimicrobial stewardship action plan, aiming to safeguard the available antimicrobials.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipDrug PrescriptionsDrug Resistance, MicrobialInappropriate PrescribingCross-Sectional StudiesData AnalysisDrug CostsHealth FacilitiesMalawiResearch DesignAnti-Bacterial Agents

Identifiers

PMID39693282
PMCPMC11654944

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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.