1. Assessment of Evaluation Tools for Integrated Surveillance of Antimicrobial Use and Resistance Based on Selected Case Studies
- Author
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Marianne Sandberg, Ayla Hesp, Cécile Aenishaenslin, Marion Bordier, Houda Bennani, Ursula Bergwerff, Ilias Chantziaras, Daniele De Meneghi, Johanne Ellis-Iversen, Maria-Eleni Filippizi, Koen Mintiens, Liza R. Nielsen, Madelaine Norström, Laura Tomassone, Gerdien van Schaik, Lis Alban, FAH Evidence based Veterinary Medicine, FAH veterinaire epidemiologie, dFAH AVR, Danish Agriculture and Food Council, Technical University of Denmark [Lyngby] (DTU), Wageningen BioVeterinary Research, Wageningen University and Research [Wageningen] (WUR), Utrecht University [Utrecht], Groupe de recherche en épidémiologie des zoonoses et santé publique, Université de Montréal (UdeM), Animal, Santé, Territoires, Risques et Ecosystèmes (UMR ASTRE), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Département Systèmes Biologiques (Cirad-BIOS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Royal Veterinary College [London], University of London [London], Universiteit Gent = Ghent University [Belgium] (UGENT), Research Institute for Agricultural, Fisheries and Food (ILVO), Department of Veterinary Sciences, University of Trás-os-Montes and Alto Douro, University of Turin, Sciensano [Bruxelles], Réseau International des Instituts Pasteur (RIIP), Food and Agriculture Organization of the United Nations [Rome, Italie] (FAO), Department of Veterinary and Animal Sciences [Copenhagen], Faculty of Health and Medical Sciences, University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Norwegian Veterinary Institute [Oslo], and Co-Eval-AMR was funded by JPIAMR (www.jpiamr.eu) and led by Dr. Barbara Hasler from grant holder Royal Veterinary College in the UK, receiving funding from the Medical Research Council, grant number MR/S037721/1.
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AMR ,evaluation ,integrated surveillance ,one health ,tools ,Process management ,Epidemiology ,Bioinformatica & Diermodellen ,040301 veterinary sciences ,Computer science ,[SDV]Life Sciences [q-bio] ,media_common.quotation_subject ,Veterinary medicine ,Resistance (psychoanalysis) ,Plan (drawing) ,0403 veterinary science ,03 medical and health sciences ,Bio-informatics & Animal models ,SF600-1100 ,Epidemiology, Bio-informatics & Animal models ,Quality (business) ,Cost action ,SWOT analysis ,Original Research ,030304 developmental biology ,media_common ,Host Pathogen Interaction & Diagnostics ,Epidemiologie ,0303 health sciences ,General Veterinary ,Scope (project management) ,Bacteriologie ,Bacteriology ,Bacteriology, Host Pathogen Interaction & Diagnostics ,04 agricultural and veterinary sciences ,veterinary(all) ,Host Pathogen Interactie & Diagnostiek ,Antimicrobial use ,One Health ,Epidemiologie, Bioinformatica & Diermodellen ,Bacteriologie, Host Pathogen Interactie & Diagnostiek ,Veterinary Science - Abstract
International audience; Regular evaluation of integrated surveillance for antimicrobial use (AMU) and resistance (AMR) in animals, humans, and the environment is needed to ensure system effectiveness, but the question is how. In this study, six different evaluation tools were assessed after being applied to AMU and AMR surveillance in eight countries: (1) ATLASS: the Assessment Tool for Laboratories and AMR Surveillance Systems developed by the Food and Agriculture Organization (FAO) of the United Nations, (2) ECoSur: Evaluation of Collaboration for Surveillance tool, (3) ISSEP: Integrated Surveillance System Evaluation Project, (4) NEOH: developed by the EU COST Action “Network for Evaluation of One Health,” (5) PMP-AMR: The Progressive Management Pathway tool on AMR developed by the FAO, and (6) SURVTOOLS: developed in the FP7-EU project “RISKSUR.” Each tool was scored using (i) 11 pre-defined functional aspects (e.g., workability concerning the need for data, time, and people); (ii) a strengths, weaknesses, opportunities, and threats (SWOT)-like approach of user experiences (e.g., things that I liked or that the tool covered well); and (iii) eight predefined content themes related to scope (e.g., development purpose and collaboration). PMP-AMR, ATLASS, ECoSur, and NEOH are evaluation tools that provide a scoring system to obtain semi-quantitative results, whereas ISSEP and SURVTOOLS will result in a plan for how to conduct evaluation(s). ISSEP, ECoSur, NEOH, and SURVTOOLS allow for in-depth analyses and therefore require more complex data, information, and specific training of evaluator(s). PMP-AMR, ATLASS, and ISSEP were developed specifically for AMR-related activities—only ISSEP included production of a direct measure for “integration” and “impact on decision making.” NEOH and ISSEP were perceived as the best tools for evaluation of One Health (OH) aspects, and ECoSur as best for evaluation of the quality of collaboration. PMP-AMR and ATLASS seemed to be the most user-friendly tools, particularly designed for risk managers. ATLASS was the only tool focusing specifically on laboratory activities. Our experience is that adequate resources are needed to perform evaluation(s). In most cases, evaluation would require involvement of several assessors and/or stakeholders, taking from weeks to months to complete. This study can help direct future evaluators of integrated AMU and AMR surveillance toward the most adequate tool for their specific evaluation purpose.
- Published
- 2021
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