Assessment of evaluation tools for integrated surveillance of antimicrobial use and resistance based on selected case studies

Sandberg Marianne, Hesp Ayla, Aenishaenslin Cécile, Bordier Marion, Bennani Houda, Bergwerff Ursula, Chantziaras Ilias, De Meneghi Daniele, Ellis-Iversen Johanne, Filippizi Maria-Eleni, Mintiens Koen, Nielsen Liza Rosenbaum, Norström Madelaine, Tomassone Laura, van Schaik Gerdien, Alban Lis. 2021. Assessment of evaluation tools for integrated surveillance of antimicrobial use and resistance based on selected case studies. Frontiers in Veterinary Science, 8, 13 p.

Quartile : Q1, Sujet : VETERINARY SCIENCES

Résumé : 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.

Mots-clés Agrovoc : résistance aux antimicrobiens, contrôle continu, étude de cas

Mots-clés libres : Integrated surveillance, Evaluation, Tools, AMR, One Health

Agences de financement hors UE : Joint Programming Initiative on Antimicrobial Resistance, Medical Research Council

Auteurs et affiliations

• Sandberg Marianne, Technical University of Denmark (DNK) - auteur correspondant
• Hesp Ayla, Utrecht University (NLD)
• Aenishaenslin Cécile, Université de Montréal (CAN)
• Bordier Marion, CIRAD-BIOS-UMR ASTRE (SEN) ORCID: 0000-0002-0182-5210
• Bennani Houda, Royal Veterinary College (GBR)
• Bergwerff Ursula, Utrecht University (NLD)
• Chantziaras Ilias, Université de Gand (BEL)
• De Meneghi Daniele, University of Turin (ITA)
• Ellis-Iversen Johanne, Technical University of Denmark (DNK)
• Filippizi Maria-Eleni, Sciensano (BEL)
• Mintiens Koen, FAO (ITA)
• Nielsen Liza Rosenbaum, UCPH (DNK)
• Norström Madelaine, Norwegian Veterinary Institute (NOR)
• Tomassone Laura, University of Turin (ITA)
• van Schaik Gerdien, Utrecht University (NLD)
• Alban Lis, UCPH (DNK)

Source : Cirad-Agritrop (https://agritrop.cirad.fr/611977/)

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