Project summary

AACTING is short for the "Network on quantification of veterinary Antimicrobial usage at herd level and Analysis, CommunicaTion and benchmarkING to improve responsible usage".

The network originates from several informal meetings of persons from various countries professionally involved in these topics. Funding for a one-year AACTING-project from 1 March 2017 until 28 February 2018 was obtained through the Joint Programming Initiative on Antimicrobial Resistance (JPI-AMR).

The background of the network is situated in the general recognition that antimicrobial usage (AMU) is the main driver for the selection and spread of antimicrobial resistance (AMR), and, therefore, that AMU has to be reduced. To allow for an approach targeted on the highest or most problematic users and to be able to evaluate the effect of AMU reduction measures and responsible use campaigns, availability of adequate AMU data is important.

Many countries have set up, are in the early stages of setting up or are planning to set up systems for monitoring AMU data at farm level in all or selected food producing animal species. In countries where such systems have been established, the collected data have been shown to be powerful tools for antibiotic stewardship, e.g., stimulating a reduced and more responsible AMU through communication of benchmarking results of farmers' and veterinarians' AMU. Due to a lack of standardization among the monitoring systems, in terms of collection procedures, analysing methodology (e.g., units of measurement and indicators) and benchmarking strategies (e.g., Different benchmark criteria for acceptable or problematic use), the produced outcomes are typically not comparable. Furthermore, countries or organizations setting up a monitoring system will experience similar challenges to deal with and similar choices to make.

The main aim of this project is to develop guidelines with practical advises on setting up systems for collection of AMU data at farm level that are applicable to guide antimicrobial stewardship. In addition, a review of existing systems for the collecting and reporting of farm-level AMU data will be established based on an analysis of strengths and weaknesses of the different systems. A third aim was to build this AACTING-website, where the guidelines and information on currently existing systems is made publicly available. A final aim of the AACTING-project is to organise an International Conference on these topics, to disseminate project outcomes and discuss further developments and challenges.

Participants

  • Jeroen Dewulf, Ghent University, Belgium, Project coordinator.
    • Experience in both national and herd-level collection and analysis of AMU data both from a research and an operational perspective.
  • Wannes Vanderhaeghen, AMCRA scientific unit, Belgium.
    • Experience in working with herd level AMU in Belgian animals.
  • Walter Obritzhauser, Austria.
    • Experience in field evaluation of AMU and implementation reduction strategies. 
  • Klemens Fuchs, Austrian Agency for Health and Food Safety, Division for Data, Statistics and Risk Assessment, Austria.
    • Experience in working with AMU data in the Austrian animal production. 
  • Carolee Carson, Centre for Food-borne, Environmental, Zoonotic Infectious Disease, Public Health Agency of Canada, Canada.
    • Experienced in data collection and analysis of AMU and AMR data under Canadian circumstances. 
  • Richard J. Reid-Smith, Centre for Food-borne, Environmental, Zoonotic Infectious Disease, Public Health Agency of Canada, Canada.
    • Experience as Surveillance Operations and Research Manager – Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS).
  • David F. Léger, Centre for Food-borne, Environmental, Zoonotic Infectious Disease, Public Health Agency of Canada, Canada.
    • Experienced in data collection and analysis of AMU and AMR data under Canadian circumstances.
  • Agnes Agunos, Centre for Food-borne, Environmental, Zoonotic Infectious Disease, Public Health Agency of Canada, Canada.
    • Experience in Farm surveillance program co-lead, Data analysis, Antimicrobial Use metrics development.
  • Mette Ely Fertner, Copenhagen University, Denmark.
    • Experience in research on AMU data in animals.
  • Birgitte Borck Høg, Technical University of Denmark, Denmark.
    • Experience in working with Danish vet. AMU and AMR data for the DANMAP report. 
  • Vibe Dalhoff Andersen, Technical University of Denmark. Denmark.
    • Experience in working with herd level AMU in the Danish pig production.
  • Anne Hémonic, IFIP-Institut du porc, France.
    • Experience in working with herd level AMU in the French pig production.
  • Claire Chauvin, ANSES, France.
    • Experience in working with AMU data in France across species.
  • Roswitha Merle, University of Berlin, Germany.
    • Experience in working with different data collection systems currently available in Germany.
  • Annemarie Käsbohrer, BfR, Germany and University of Veterinary Medicine, Vienna, Austria.
    • Experience in antimicrobial usage and resistance research. 
  • Federico Scali, Istituto Zooprofilattico Sperimentale Lombardia Emilia Romagna “Bruno Ubertini” - Sector Diagnostic and Animal Health, Italy.
    • Experience in development of an Italian herd-level data-collection system.
  • Alborali Giovanni Loris, Istituto Zooprofilattico Sperimentale Lombardia Emilia Romagna “Bruno Ubertini” - Sector Diagnostic and Animal Health, Italy.
    • Experience in development of an Italian herd-level datacollection system.
  • Dick Heederik, Utrecht University, the Netherlands.
    • Experience in AMU data collection, analysis and benchmarking in the Netherlands.
  • Inge Van Geijlswijk, Utrecht University, the Netherlands.
    • Experience in AMU data collection, analysis and benchmarking in the Netherlands.
  • Kari Grave, Norwegian Veterinary Institute, Norway.
    • Experience in National and International AMU data collection, analysis and communication.
  • Cedric Muentener, University of Zurich, Switzerland.
    • Experience in working with herd level AMU in the Swiss animal production.
  • Kay Isabella Torriani, Scientific collaborator at Federal Food Safety and Veterinary Office FSVO, Department of Veterinary Medicines, Antibiotics, Switzerland.
    • Experience AMU data collection at national level.
  • Katharina Stärk, SAFOSO, Switzerland.
    • Experience in research on AMU and AMR and communication. 
  • Stacey Brown, Veterinary Medicines Directorate, United Kingdom.
    • Responsible for herd level AMU data collection in the UK.
  • Fraser Broadfoot, Veterinary Medicines Directorate, United Kingdom.
    • Involved in the development of systems for the collection of species specific antimicrobial consumption data in the UK.
AACTING participants during the intermediate meeting held in Rome in September 2017

Advisory Reference Group

  • Jordi Torren Edo, Coordinator ESVAC activity, European Medicines Agency (EMA).
    • Contributes with the experience of AMU data-analysis at international level.
  • Marian Bos, Utrecht University and working as a national expert for the ESVAC activity of the European Medicines Agency (EMA).
    • Contributes with the experience of AMU data-analysis at international level.
  • Klaus Weist, Coordinator of the European Surveillance of Antimicrobial Consumption Network (ESAC-Net), European Centre for Disease Prevention and Control (ECDC).
    • Contributes with the experience of AMU data collection and analysis at international level in human medicine.
  • Ute Wolff Sönksen, Statens Serum Institut, Denmark
    • Contributes with the experience from working with Danish human AMU and AMR data for the DANMAP report.