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

Nithya Babu Rajendran, Fabiana Arieti, Carla Alejandra Mena-Benítez, Liliana Galia, Maela Tebon, Julio Alvarez, Beryl Primrose Gladstone, Lucie Collineau, Giulia De Angelis, Raquel Duro, William Gaze, Siri Göpel, Souha S. Kanj, Annemarie Käsbohrer, Direk Limmathurotsakul, Estibaliz Lopez De Abechuco, Elena Mazzolini, Nico T. Mutters, Maria Diletta Pezzani, Elisabeth PresterlHanna Renk, Jesús Rodríguez-Baño, Oana Săndulescu, Federico Scali, Robert Skov, Thirumalaisamy P. Velavan, Cuong Vuong, Evelina Tacconelli, Ayola Akim Adegnika, Lisa Avery, Marc Bonten, Alessandro Cassini, Claire Chauvin, Monica Compri, Peter Damborg, Sabine De Greeff, Maria Dolores Del Toro, Matthias Filter, Alison Franklin, Bruno Gonzalez-Zorn, Kari Grave, Didier Hocquet, Ludwig E. Hoelzle, Erta Kalanxhi, Ramanan Laxminarayan, Leonard Leibovici, Surbhi Malhotra-Kumar, Marc Mendelson, Mical Paul, Cristina Muñoz Madero, Rita Murri, Laura J.V. Piddock, Carolien Ruesen, Maurizio Sanguinetti, Thorben Schilling, Remco Schrijver, Mitchell J. Schwaber, Luigia Scudeller, Didem Torumkuney, Thomas Van Boeckel, Wannes Vanderhaeghen, Andreas Voss, Teresa Wozniak

Research output: Contribution to journalArticle

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.
Original languageEnglish
Pages (from-to)100563-N/A
JournalThe Lancet Regional Health - Europe
Volume26
DOIs
Publication statusPublished - 2023

Keywords

  • Antibiotic policy
  • Antimicrobial consumption
  • Antimicrobial resistance
  • One Health
  • Surveillance

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