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《EPI-Net 一体化健康抗菌药物使用与耐药性监测数据报告指南:德尔菲法》

EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach.

作者信息

Babu Rajendran Nithya, Arieti Fabiana, Mena-Benítez Carla Alejandra, Galia Liliana, Tebon Maela, Alvarez Julio, Gladstone Beryl Primrose, Collineau Lucie, De Angelis Giulia, Duro Raquel, Gaze William, Göpel Siri, Kanj Souha S, Käsbohrer Annemarie, Limmathurotsakul Direk, Lopez de Abechuco Estibaliz, Mazzolini Elena, Mutters Nico T, Pezzani Maria Diletta, Presterl Elisabeth, Renk Hanna, Rodríguez-Baño Jesús, Săndulescu Oana, Scali Federico, Skov Robert, Velavan Thirumalaisamy P, Vuong Cuong, Tacconelli Evelina

机构信息

Infectious Diseases, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.

Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

出版信息

Lancet Reg Health Eur. 2022 Dec 22;26:100563. doi: 10.1016/j.lanepe.2022.100563. eCollection 2023 Mar.

Abstract

Strategic and standardised approaches to analysis and reporting of surveillance data are essential to inform antimicrobial resistance (AMR) mitigation measures, including antibiotic policies. Targeted guidance on linking full-scale AMR and antimicrobial consumption (AMC)/antimicrobial residues (AR) surveillance data from the human, animal, and environmental sectors is currently needed. This paper describes the initiative whereby a multidisciplinary panel of experts (56 from 20 countries-52 high income, 4 upper middle or lower income), representing all three sectors, elaborated proposals for structuring and reporting full-scale AMR and AMC/AR surveillance data across the three sectors. An evidence-supported, modified Delphi approach was adopted to reach consensus among the experts for dissemination frequency, language, and overall structure of reporting; core elements and metrics for AMC/AR data; core elements and metrics for AMR data. The recommendations can support multisectoral national and regional plans on antimicrobials policy to reduce resistance rates applying a One Health approach.

摘要

监测数据的分析和报告采用战略和标准化方法对于为抗菌药物耐药性(AMR)缓解措施提供信息至关重要,这些措施包括抗生素政策。目前需要有针对性的指导,以将来自人类、动物和环境领域的全面AMR与抗菌药物消费(AMC)/抗菌药物残留(AR)监测数据联系起来。本文介绍了一项倡议,即一个由代表所有三个领域的多学科专家小组(来自20个国家的56名专家——52名高收入国家专家、4名中高收入或低收入国家专家)拟定了关于构建和报告三个领域全面AMR及AMC/AR监测数据的提案。采用了一种有证据支持的改良德尔菲方法,以使专家们就报告的传播频率、语言和总体结构;AMC/AR数据的核心要素和指标;AMR数据的核心要素和指标达成共识。这些建议可以支持多部门国家和区域抗菌药物政策计划,以采用“同一个健康”方法降低耐药率。

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