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 Presterl; Hanna 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

doi:10.1016/j.lanepe.2022.100563

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 Presterl

Hanna 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

University of Tübingen
University of Verona
Complutense University
Agence nationale de sécurité sanitaire de l'alimentation, de l'environnement et du travail
Centro Hospitalar do Tâmega e Sousa
University of Exeter
American University of Beirut
Federal Institute for Risk Assessment
Mahidol University
Experimental Zooprophylactic Institute of Venice
University of Bonn
European Committee on Infection Control (EUCIC)
Hospital Universitario Virgen Macarena
Carol Davila University of Medicine and Pharmacy
Experimental Zooprophylactic Institute of Lombardia and Emilia Romagna "Bruno Ubertini"
Statens Serum Institut
AiCuris GmbH & Co. KG

Risultato della ricerca: Contributo in rivista › Articolo

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.

Lingua originale	Inglese
pagine (da-a)	100563-N/A
Rivista	The Lancet Regional Health - Europe
Volume	26
DOI	https://doi.org/10.1016/j.lanepe.2022.100563
Stato di pubblicazione	Pubblicato - 2023

OSS delle Nazioni Unite

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SDG 3 Salute e benessere

Keywords

Antibiotic policy
Antimicrobial consumption
Antimicrobial resistance
One Health
Surveillance

Accesso al documento

10.1016/j.lanepe.2022.100563

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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., ... Wozniak, T. (2023). EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach. The Lancet Regional Health - Europe, 26, 100563-N/A. https://doi.org/10.1016/j.lanepe.2022.100563

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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.",

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author = "\{Babu Rajendran\}, Nithya and Fabiana Arieti and Mena-Ben{\'i}tez, \{Carla Alejandra\} and Liliana Galia and Maela Tebon and Julio Alvarez and Gladstone, \{Beryl Primrose\} and Lucie Collineau and \{De Angelis\}, Giulia and Raquel Duro and William Gaze and Siri G{\"o}pel and Kanj, \{Souha S.\} and Annemarie K{\"a}sbohrer and Direk Limmathurotsakul and \{Lopez De Abechuco\}, Estibaliz and Elena Mazzolini and Mutters, \{Nico T.\} and Pezzani, \{Maria Diletta\} and Elisabeth Presterl and Hanna Renk and Jes{\'u}s Rodr{\'i}guez-Ba{\~n}o and Oana S{\u a}ndulescu and Federico Scali and Robert Skov and Velavan, \{Thirumalaisamy P.\} and Cuong Vuong and Evelina Tacconelli and Adegnika, \{Ayola Akim\} and Lisa Avery and Marc Bonten and Alessandro Cassini and Claire Chauvin and Monica Compri and Peter Damborg and \{De Greeff\}, Sabine and \{Del Toro\}, \{Maria Dolores\} and Matthias Filter and Alison Franklin and Bruno Gonzalez-Zorn and Kari Grave and Didier Hocquet and Hoelzle, \{Ludwig E.\} and Erta Kalanxhi and Ramanan Laxminarayan and Leonard Leibovici and Surbhi Malhotra-Kumar and Marc Mendelson and Mical Paul and \{Mu{\~n}oz Madero\}, Cristina and Rita Murri and Piddock, \{Laura J.V.\} and Carolien Ruesen and Maurizio Sanguinetti and Thorben Schilling and Remco Schrijver and Schwaber, \{Mitchell J.\} and Luigia Scudeller and Didem Torumkuney and \{Van Boeckel\}, Thomas and Wannes Vanderhaeghen and Andreas Voss and Teresa Wozniak",

year = "2023",

doi = "10.1016/j.lanepe.2022.100563",

language = "English",

volume = "26",

pages = "100563--N/A",

journal = "The Lancet Regional Health - Europe",

issn = "2666-7762",

publisher = "Elsevier Ltd",

}

Babu Rajendran, N, Arieti, F, Mena-Benítez, CA, Galia, L, Tebon, M, Alvarez, J, Gladstone, BP, Collineau, L, De Angelis, G, Duro, R, Gaze, W, Göpel, S, Kanj, SS, Käsbohrer, A, Limmathurotsakul, D, Lopez De Abechuco, E, Mazzolini, E, Mutters, NT, Pezzani, MD, Presterl, E, Renk, H, Rodríguez-Baño, J, Săndulescu, O, Scali, F, Skov, R, Velavan, TP, Vuong, C, Tacconelli, E, Adegnika, AA, Avery, L, Bonten, M, Cassini, A, Chauvin, C, Compri, M, Damborg, P, De Greeff, S, Del Toro, MD, Filter, M, Franklin, A, Gonzalez-Zorn, B, Grave, K, Hocquet, D, Hoelzle, LE, Kalanxhi, E, Laxminarayan, R, Leibovici, L, Malhotra-Kumar, S, Mendelson, M, Paul, M, Muñoz Madero, C, Murri, R, Piddock, LJV, Ruesen, C, Sanguinetti, M, Schilling, T, Schrijver, R, Schwaber, MJ, Scudeller, L, Torumkuney, D, Van Boeckel, T, Vanderhaeghen, W, Voss, A & Wozniak, T 2023, 'EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach', The Lancet Regional Health - Europe, vol. 26, pagg. 100563-N/A. https://doi.org/10.1016/j.lanepe.2022.100563

TY - JOUR

T1 - EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach

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 - Muñoz Madero, Cristina

AU - Murri, Rita

AU - Piddock, Laura J.V.

AU - Ruesen, Carolien

AU - Sanguinetti, Maurizio

AU - Schilling, Thorben

AU - Schrijver, Remco

AU - Schwaber, Mitchell J.

AU - Scudeller, Luigia

AU - Torumkuney, Didem

AU - Van Boeckel, Thomas

AU - Vanderhaeghen, Wannes

AU - Voss, Andreas

AU - Wozniak, Teresa

PY - 2023

Y1 - 2023

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

KW - Antibiotic policy

KW - Antimicrobial consumption

KW - Antimicrobial resistance

KW - One Health

KW - Surveillance

UR - http://hdl.handle.net/10807/231798

U2 - 10.1016/j.lanepe.2022.100563

DO - 10.1016/j.lanepe.2022.100563

M3 - Article

SN - 2666-7762

VL - 26

SP - 100563-N/A

JO - The Lancet Regional Health - Europe

JF - The Lancet Regional Health - Europe

ER -

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

Abstract

OSS delle Nazioni Unite

Keywords

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