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Harmonisation of data collection on antimicrobial use in livestock production

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Presented by Barbara Wieland, Michel Dione, Biruk Alemu Gemeda, Eric Fevre, Delia Grace, Louis Omoya, Gunilla Ström, Elisabeth Lindahl and Ulf Magnusson at the 15th International Symposium of Veterinary Epidemiology and Economics Chiang Mai, Thailand, 12-16 November 2018

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Harmonisation of data collection on antimicrobial use in livestock production

  1. 1. Harmonisation of data collection on antimicrobial use in livestock production Barbara Wieland, Michel Dione, Biruk Alemu Gemeda, Eric Fevre, Delia Grace, Louis Omoya, Gunilla Ström, Elisabeth Lindahl and Ulf Magnusson 15th International Symposium of Veterinary Epidemiology and Economics Chiang Mai, Thailand, 12-16 November 2018
  2. 2. At ISVEE 15 around 10% of scientific contributions on AMU and AMR
  3. 3. • Data availability on AM use in developing countries: little to none • Improving access to veterinary drugs, but lack of capacity development on responsible use • Limitations of drug sales data and drug quality (counterfeit, illegal trade) Role of research in generating AMU/AMR data
  4. 4. Why? Need for surveillance • Data on resistance • Data on residues in animal source food • Monitor data on antimicrobial use  Meta analysis difficult if data collected with different tools  Research and development community to standardize data collection on AM use in agriculture
  5. 5. How? Research and development projects: • Quantitative and qualitative research on use and drivers of use • Studies on AMR transmission • Capacity development • Interventions testing • Monitor impact
  6. 6. What? The aim was to develop a tool that can be used for different production systems and species in different countries to be able to collate and compare data of different sources. • Harmonize data collection on key issues in a standardised way • Enable collation and comparison of data of different projects • Provide a minimal set of questions to be used, which can/should be complemented with project specific questions • Assess baseline of current levels of access and use of AMs in different production systems where projects take place Aim to have a short core questionnaire (around 30 minutes)
  7. 7. Questionnaire design: AMUSE Livestock Review of questionnaire tools used in different surveys - Topics - Question types - Align these to One Health framework - Consultation with peers Woolhouse et al, 2015
  8. 8. Questionnaire design Diseases Purpose: treatment, Prevention, growth Frequency, duration, last use (compounds) Production system Species Manure management Disposal Sale of ASF Source of drugs Advice on dosage/use Knowledge on AMs Decision making Source of feed and water Woolhouse et al, 2015
  9. 9. Testing Ethiopia Uganda Vietnam Around 400 households per country enrolled Drug profiling in vetdrug stores Pilot testing (ODK)
  10. 10. Preliminary findings • Same drugs used in people and livestock • Tool manages to capture important differences in drug use across production systems • Drug box/bag/picture library works well to manage recall • Issues around withdrawal period • Importance of waste/manure management
  11. 11. Validation Workshop in Uganda: What to ask? • Comparison with other tools • Discussions on usefulness of different approaches • Is measuring use really the most important issue? • What about proportion of adequate use? Reliability and validity: How to ask? • Cognitive interviews (thought process) • Translation and back translation • Measurement scale: Crohnbach’s α, IRT model
  12. 12. Importance of local context Drivers of use
  13. 13. Drivers of AM use
  14. 14. Is a harmonized tool a good idea? • Research can contribute to efforts to generate urgently needed data on AM use • Allows comparisons between systems and over time • Drug bags/boxes/pictures helped with recall, adapted to local context • ODK facilitates sharing and data compilation • Promote data collection at human-animal interface • Can be linked to other research topics • Relatively short
  15. 15. Is a harmonized tool a good idea? • Specific research questions need different tools • If tool is poor, key information/data may be missed • Simple questions may fail to capture local context and complexity around AM use • Difficulties to assess and standardize dosage use • Reliability of information (hiding of practices)
  16. 16. Recommendations • Scoping study/drug profiling needed • In addition FGD to get better information on farmers’ actions • Include surveys with other value chain actors (prescribers, drug sellers)
  17. 17. Acknowledgment Special thanks to Ian Dohoo and Marika Wenemark for discussions and input to questionnaire validation
  18. 18. better lives through livestock ilri.org This presentation is licensed for use under the Creative Commons Attribution 4.0 International Licence.

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