TY - JOUR
T1 - EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data
T2 - a Delphi approach
AU - EPI-Net One Health consensus working group
AU - Babu Rajendran, Nithya
AU - Arieti, Fabiana
AU - Mena-Benítez, Carla Alejandra
AU - Galia, Liliana
AU - Tebon, Maela
AU - Alvarez, Julio
AU - Gladstone, Beryl Primrose
AU - Collineau, Lucie
AU - De Angelis, Giulia
AU - Duro, Raquel
AU - Gaze, William
AU - Göpel, Siri
AU - Kanj, Souha S.
AU - Käsbohrer, Annemarie
AU - Limmathurotsakul, Direk
AU - Lopez de Abechuco, Estibaliz
AU - Mazzolini, Elena
AU - Mutters, Nico T.
AU - Pezzani, Maria Diletta
AU - Presterl, Elisabeth
AU - Renk, Hanna
AU - Rodríguez-Baño, Jesús
AU - Săndulescu, Oana
AU - Scali, Federico
AU - Skov, Robert
AU - Velavan, Thirumalaisamy P.
AU - Vuong, Cuong
AU - Tacconelli, Evelina
AU - Adegnika, Ayola Akim
AU - Avery, Lisa
AU - Bonten, Marc
AU - Cassini, Alessandro
AU - Chauvin, Claire
AU - Compri, Monica
AU - Damborg, Peter
AU - De Greeff, Sabine
AU - Del Toro, Maria Dolores
AU - Filter, Matthias
AU - Franklin, Alison
AU - Gonzalez-Zorn, Bruno
AU - Grave, Kari
AU - Hocquet, Didier
AU - Hoelzle, Ludwig E.
AU - Kalanxhi, Erta
AU - Laxminarayan, Ramanan
AU - Leibovici, Leonard
AU - Malhotra-Kumar, Surbhi
AU - Mendelson, Marc
AU - Paul, Mical
AU - Schwaber, Mitchell J.
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2023/3
Y1 - 2023/3
N2 - 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.
AB - 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.
KW - Antibiotic policy
KW - Antimicrobial consumption
KW - Antimicrobial resistance
KW - One Health
KW - Surveillance
UR - http://www.scopus.com/inward/record.url?scp=85145297279&partnerID=8YFLogxK
U2 - 10.1016/j.lanepe.2022.100563
DO - 10.1016/j.lanepe.2022.100563
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C2 - 36895445
AN - SCOPUS:85145297279
SN - 2666-7762
VL - 26
JO - The Lancet Regional Health - Europe
JF - The Lancet Regional Health - Europe
M1 - 100563
ER -