ArticleFrontiers in veterinary science2021
Assessment of Evaluation Tools for Integrated Surveillance of Antimicrobial Use and Resistance Based on Selected Case Studies.
Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 42 citations in OpenAlex.
- Antimicrobial Resistance Profiles of Bacteria Isolated from the Animal Health Sector in Zambia (2020-2024): Opportunities to Strengthen Antimicrobial Resistance Surveillance and Stewardship Programs.Antibiotics (Basel, Switzerland) · 2025Article
- Building capacities in Sub-Saharan African countries for antimicrobial resistance surveillance in the food and agriculture sectors using the FAO ATLASS tool.Frontiers in veterinary science · 2025Article
- Overview of antimicrobial resistance mitigation efforts in Benin 2024.Journal of public health in Africa · 2025Article
- Integrated surveillance systems for antibiotic resistance in a One Health context: a scoping review.BMC public health · 2024Article
- Implementation of One Health surveillance systems: Opportunities and challenges - lessons learned from the OH-EpiCap application.One health (Amsterdam, Netherlands) · 2024Article
- Moving towards One Health surveillance of antibiotic resistance in France: a semi-quantitative evaluation of the level of collaboration within the national surveillance system.JAC-antimicrobial resistance · 2024Article
- Development of a cross-sectoral antimicrobial resistance capability assessment framework.BMJ global health · 2024Article
- Evaluation of the One Health-Ness of 20 Years of Antimicrobial Resistance Surveillance in Norway.Antibiotics (Basel, Switzerland) · 2023Article
- Users' perception of the OH-EpiCap evaluation tool based on its application to nine national antimicrobial resistance surveillance systems.Frontiers in public health · 2023Article
- Capturing systematically users' experience of evaluation tools for integrated AMU and AMR surveillance.Frontiers in veterinary science · 2023Article
- OH-EpiCap: a semi-quantitative tool for the evaluation of One Health epidemiological surveillance capacities and capabilities.Frontiers in public health · 2023Article
- Evaluating the OH-EpiCap tool using the Danish integrated surveillance program for AMU and AMR as a case study.Frontiers in public health · 2023Article
- A One Health Evaluation of the Surveillance Systems on Tick-Borne Diseases in the Netherlands, Spain and Italy.Veterinary sciences · 2022Article
- Evaluation of the French surveillance system for epidemiological surveillance of antimicrobial resistance in the community and nursing homes.JAC-antimicrobial resistance · 2022Article
- A systematic approach toward progressive improvement of national antimicrobial resistance surveillance systems in food and agriculture sectors.Frontiers in veterinary science · 2022Article
- Electronic information systems for One Health surveillance of antimicrobial resistance: a systematic scoping review.BMJ global health · 2022Article
- Evaluating the Integration of One Health in Surveillance Systems for Antimicrobial Use and Resistance: A Conceptual Framework.Frontiers in veterinary science · 2021Article
- Evaluating Integrated Surveillance for Antimicrobial Use and Resistance in England: A Qualitative Study.Frontiers in veterinary science · 2021Article
- One Health Evaluation of Antimicrobial Use and Resistance Surveillance: A Novel Tool for Evaluating Integrated, One Health Antimicrobial Resistance and Antimicrobial Use Surveillance Programs.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
16 authors at 13 institutions in 9 countries.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.