Collecting multi-country retrospective antimicrobial consumption and use data: challenges and experience

Excessive or inappropriate antimicrobial use contributes to antimicrobial resistance, emphasizing the need to monitor and document the types and quantities of antibiotics used. Thus, data on antimicrobial consumption (AMC) and antimicrobial usage (AMU) are key in informing and promoting judicious us...

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Hauptverfasser: Prifti, Kristi (VerfasserIn) , Chi, Kyu-young Kevin (VerfasserIn) , Eraly, Emmanuel (VerfasserIn) , Joh, Hea Sun (VerfasserIn) , Sujan, Mohammad Julhas (VerfasserIn) , Poudyal, Nimesh (VerfasserIn) , Marks, Florian (VerfasserIn) , Holm, Marianne (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 15 December 2023
In: Clinical infectious diseases
Year: 2023, Jahrgang: 77, Pages: S528-S535
ISSN:1537-6591
DOI:10.1093/cid/ciad667
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.1093/cid/ciad667
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Verfasserangaben:Kristi Prifti, Kyu-young Kevin Chi, Emmanuel Eraly, Hea Sun Joh, Mohammad Julhas Sujan, Nimesh Poudyal, Florian Marks, and Marianne Holm

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520 |a Excessive or inappropriate antimicrobial use contributes to antimicrobial resistance, emphasizing the need to monitor and document the types and quantities of antibiotics used. Thus, data on antimicrobial consumption (AMC) and antimicrobial usage (AMU) are key in informing and promoting judicious use. Our study, conducted during 2019-2023, as part of the CAPTURA project, aimed to understand the state of data availability and quality for AMC and AMU monitoring in Asia. In this article, we describe the challenges and opportunities faced and provide examples of AMU and AMC analysis. World Health Organization (WHO) and country-tailored methodologies and tools were applied to collect retrospective data from 2016 to 2019 in Bangladesh, Bhutan, Laos, Nepal, Pakistan, Papua New Guinea, Sri Lanka, and Timor-Leste. The primary indicator for national AMC was total level of consumption, expressed as total defined daily doses (DDD) per 1000 inhabitants per day for the year or period of data collected. For facility AMC and AMU, the primary indicator was total DDD per admissions per day for the year or period of data collected. Although many countries faced infrastructural challenges in data collection and storage, we managed to collect and analyze AMC data from 6 countries and AMU data from 5. The primary indicators, and additional findings, were visualized to facilitate dissemination and promote the development of action plans. Looking ahead, it is crucial that future initiatives empower each country to establish surveillance infrastructures tailored to their unique contexts, ensuring sustainable progress in the fight against antimicrobial resistance. 
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