EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach
Issued Date
2023-03-01
Resource Type
eISSN
26667762
Scopus ID
2-s2.0-85145297279
Journal Title
The Lancet Regional Health - Europe
Volume
26
Rights Holder(s)
SCOPUS
Bibliographic Citation
The Lancet Regional Health - Europe Vol.26 (2023)
Suggested Citation
Babu Rajendran N., Arieti F., Mena-Benítez C.A., Galia L., Tebon M., Alvarez J., Gladstone B.P., Collineau L., De Angelis G., Duro R., Gaze W., Göpel S., Kanj S.S., Käsbohrer A., Limmathurotsakul D., Lopez de Abechuco E., Mazzolini E., Mutters N.T., Pezzani M.D., Presterl E., Renk H., Rodríguez-Baño J., Săndulescu O., Scali F., Skov R., Velavan T.P., Vuong C., Tacconelli E., Adegnika A.A., Avery L., Bonten M., Cassini A., Chauvin C., Compri M., Damborg P., De Greeff S., Del Toro M.D., Filter M., Franklin A., Gonzalez-Zorn B., Grave K., Hocquet D., Hoelzle L.E., Kalanxhi E., Laxminarayan R., Leibovici L., Malhotra-Kumar S., Mendelson M., Paul M., Muñoz Madero C., Murri R., Piddock L.J.V., Ruesen C., Sanguinetti M., Schilling T., Schrijver R., Schwaber M.J., Scudeller L., Torumkuney D., Van Boeckel T., Vanderhaeghen W., Voss A., Wozniak T. EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach. The Lancet Regional Health - Europe Vol.26 (2023). doi:10.1016/j.lanepe.2022.100563 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/82384
Title
EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach
Author(s)
Babu Rajendran N.
Arieti F.
Mena-Benítez C.A.
Galia L.
Tebon M.
Alvarez J.
Gladstone B.P.
Collineau L.
De Angelis G.
Duro R.
Gaze W.
Göpel S.
Kanj S.S.
Käsbohrer A.
Limmathurotsakul D.
Lopez de Abechuco E.
Mazzolini E.
Mutters N.T.
Pezzani M.D.
Presterl E.
Renk H.
Rodríguez-Baño J.
Săndulescu O.
Scali F.
Skov R.
Velavan T.P.
Vuong C.
Tacconelli E.
Adegnika A.A.
Avery L.
Bonten M.
Cassini A.
Chauvin C.
Compri M.
Damborg P.
De Greeff S.
Del Toro M.D.
Filter M.
Franklin A.
Gonzalez-Zorn B.
Grave K.
Hocquet D.
Hoelzle L.E.
Kalanxhi E.
Laxminarayan R.
Leibovici L.
Malhotra-Kumar S.
Mendelson M.
Paul M.
Muñoz Madero C.
Murri R.
Piddock L.J.V.
Ruesen C.
Sanguinetti M.
Schilling T.
Schrijver R.
Schwaber M.J.
Scudeller L.
Torumkuney D.
Van Boeckel T.
Vanderhaeghen W.
Voss A.
Wozniak T.
Arieti F.
Mena-Benítez C.A.
Galia L.
Tebon M.
Alvarez J.
Gladstone B.P.
Collineau L.
De Angelis G.
Duro R.
Gaze W.
Göpel S.
Kanj S.S.
Käsbohrer A.
Limmathurotsakul D.
Lopez de Abechuco E.
Mazzolini E.
Mutters N.T.
Pezzani M.D.
Presterl E.
Renk H.
Rodríguez-Baño J.
Săndulescu O.
Scali F.
Skov R.
Velavan T.P.
Vuong C.
Tacconelli E.
Adegnika A.A.
Avery L.
Bonten M.
Cassini A.
Chauvin C.
Compri M.
Damborg P.
De Greeff S.
Del Toro M.D.
Filter M.
Franklin A.
Gonzalez-Zorn B.
Grave K.
Hocquet D.
Hoelzle L.E.
Kalanxhi E.
Laxminarayan R.
Leibovici L.
Malhotra-Kumar S.
Mendelson M.
Paul M.
Muñoz Madero C.
Murri R.
Piddock L.J.V.
Ruesen C.
Sanguinetti M.
Schilling T.
Schrijver R.
Schwaber M.J.
Scudeller L.
Torumkuney D.
Van Boeckel T.
Vanderhaeghen W.
Voss A.
Wozniak T.
Author's Affiliation
Centro de Investigación Biomédica en Red de Enfermedades Infecciosas
Mahidol Oxford Tropical Medicine Research Unit
University of Exeter Medical School
ANSES - French Agency for Food, Environmental and Occupational Health & Safety
AiCuris GmbH & Co. KG
Bundesinstitut für Risikobewertung
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna Bruno Ubertini
Istituto Zooprofilattico Sperimentale delle Venezie
American University of Beirut Medical Center
Universitatea de Medicina si Farmacie Carol Davila din Bucuresti
Università degli Studi di Verona
Università Cattolica del Sacro Cuore, Campus di Roma
Universitätsklinikum Bonn
Universidad Complutense de Madrid
Statens Serum Institut
Universitätsklinikum und Medizinische Fakultät Tübingen
Medizinische Universität Wien
Nuffield Department of Medicine
Hospital Universitario Virgen Macarena
German Centre for Infection Research (DZIF) Clinical Research Unit for Healthcare Associated and Antibiotic Resistant Bacterial Infections
National Institute for Infectious Diseases "Prof.Dr. Matei Bals"
Jansen Pharmaceuticals
Centro Hospitalar do Tâmega e Sousa
ESCMID Study group for nosocomial infections
European Committee on Infection Control
Vietnamese-German Center for Medical Research
Mahidol Oxford Tropical Medicine Research Unit
University of Exeter Medical School
ANSES - French Agency for Food, Environmental and Occupational Health & Safety
AiCuris GmbH & Co. KG
Bundesinstitut für Risikobewertung
Istituto Zooprofilattico Sperimentale della Lombardia e dell'Emilia Romagna Bruno Ubertini
Istituto Zooprofilattico Sperimentale delle Venezie
American University of Beirut Medical Center
Universitatea de Medicina si Farmacie Carol Davila din Bucuresti
Università degli Studi di Verona
Università Cattolica del Sacro Cuore, Campus di Roma
Universitätsklinikum Bonn
Universidad Complutense de Madrid
Statens Serum Institut
Universitätsklinikum und Medizinische Fakultät Tübingen
Medizinische Universität Wien
Nuffield Department of Medicine
Hospital Universitario Virgen Macarena
German Centre for Infection Research (DZIF) Clinical Research Unit for Healthcare Associated and Antibiotic Resistant Bacterial Infections
National Institute for Infectious Diseases "Prof.Dr. Matei Bals"
Jansen Pharmaceuticals
Centro Hospitalar do Tâmega e Sousa
ESCMID Study group for nosocomial infections
European Committee on Infection Control
Vietnamese-German Center for Medical Research
Other Contributor(s)
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.