Prevalence and patterns of antibiotic prescriptions in Conakry hospitals, Guinea: a multicentre cross-sectional survey
Thibaut Armel Chérif Gnimadi, Kadio Jean-Jacques Olivier Kadio, Aïssata Camara, Castro Gbêmêmali Hounmenou, Saidouba Cherif Camara, Salifou Talassone Bangoura, Elsie Hermine Ogoumma, Alpha Kabiné Keita, Djiba Kaba, Tiguidanke Camara, Yamoussa Youla, Amadou Daye Diallo

TL;DR
This study found high rates of antibiotic prescriptions in hospitals in Conakry, Guinea, with most given without testing, highlighting the need for better antibiotic stewardship.
Contribution
The study provides the first detailed assessment of antibiotic prescription patterns in Conakry hospitals using WHO AWaRe classification.
Findings
Overall antibiotic prescription prevalence was 35.0%, with inpatients having much higher rates than outpatients.
Most prescriptions were beta-lactams and third-generation cephalosporins, and nearly all were given empirically without testing.
64.3% of antibiotics belonged to the WHO Access group, and 33.3% to the Watch group.
Abstract
Inappropriate use of antibiotics is a major driver of antimicrobial resistance (AMR), particularly in low- and middle-income countries. Understanding antibiotic use and patterns in hospital settings is essential for promoting rational use and optimizing antimicrobial stewardship (AMS). This study aims to assess the extent of antibiotic prescribing in secondary and tertiary hospitals in Conakry, Guinea, and to evaluate the appropriateness of these prescriptions on the basis of WHO recommendations via the Access, Watch, Reserve (AWaRe) classification of antibiotics. A multicentre cross-sectional survey was conducted from June to October 2024 to assess patient antibiotic use levels across six hospital wards in Conakry, capital of Guinea. The prevalence of antibiotic prescriptions, with 95% confidence intervals (CI), was compared across patient, prescriber and ward variables. Antibiotic…
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Taxonomy
TopicsAntibiotic Use and Resistance · Urinary Tract Infections Management · Bacterial Identification and Susceptibility Testing
