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在拉丁美洲和加勒比地区实施国家抗菌药物消费监测:机遇与经验教训

Implementing national antimicrobial consumption in Latin America and the Caribbean: opportunities and lessons learned.

作者信息

Marin Gustavo Horacio, Giangreco Lucia, Lichtenberger Paola, Dorati Cristian, Mordujovich-Buschiazzo Perla, Rojas-Cortés Robin, Ramón-Pardo Pilar, Marín Danini, Castro José Luis

机构信息

CUFAR- Faculty of Medicine, National University of La Plata, La Plata, Argentina.

Miller School of Medicine, University of Miami, Miami, USA.

出版信息

Epidemiol Infect. 2025 Jan 14;153:e11. doi: 10.1017/S0950268824001237.

Abstract

Surveillance of antimicrobial consumption (AMC) is essential to anticipate and inform policies and public health decisions to prevent and/or contain antimicrobial resistance (AMR). This manuscript shares the experience on AMC data collection in Latin American & Caribbean (LAC). The WHO GLASS-AMC methodology for AMC surveillance was used for data registration during the period 2019-2022. Focal points belonging to each country were contacted and trained for AMC source of information detection, managing registration tools, and data analysis. Thirteen countries were enrolled with significant heterogeneity in the AMC results (range 2.55-36.26 DID-AMC). This experience reflects the heterogeneity of realities in LAC countries; how each one of the nations selected the best sources to collect AMC data, which were the main problems in applying the WHO-AMC collection tool, and the approach that each country gave to the analysis of its data. Finally, some examples are provided on the use of AMC information in making the best decision-making related to AMR control policies at the national level.

摘要

抗菌药物消费监测(AMC)对于预测和指导预防和/或遏制抗菌药物耐药性(AMR)的政策及公共卫生决策至关重要。本手稿分享了拉丁美洲和加勒比地区(LAC)抗菌药物消费数据收集方面的经验。2019年至2022年期间,采用了世界卫生组织抗菌药物消费监测全球抗菌药物使用与耐药性监测系统(GLASS-AMC)方法进行数据登记。与每个国家的协调人取得联系,并对其进行培训,内容包括抗菌药物消费信息来源检测、管理登记工具及数据分析。共有13个国家参与,抗菌药物消费结果存在显著异质性(差异指数-抗菌药物消费范围为2.55-36.26)。这一经验反映了拉丁美洲和加勒比地区国家现实情况的异质性;每个国家如何选择最佳信息来源来收集抗菌药物消费数据,在应用世界卫生组织抗菌药物消费收集工具时存在哪些主要问题,以及每个国家对其数据分析采取的方法。最后,提供了一些关于利用抗菌药物消费信息在国家层面做出与抗菌药物耐药性控制政策相关的最佳决策的实例。

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Global Contributors to Antibiotic Resistance.抗生素耐药性的全球影响因素
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