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Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach

In the Mekong Delta of Vietnam, poultry farmers use high amounts of antimicrobials, but little is known about the drivers that influence this usage. We aimed to identify these drivers using a novel approach that combined participatory epidemiology (PE) and Q-sorting (a methodology that allows the an...

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Autores principales: Truong, Dinh Bao, Doan, Hoang Phu, Doan Tran, Vinh Khanh, Nguyen, Van Cuong, Bach, Tuan Kiet, Rueanghiran, Chalalai, Binot, Aurélie, Goutard, Flavie L., Thwaites, Guy, Carrique-Mas, Juan, Rushton, Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442645/
https://www.ncbi.nlm.nih.gov/pubmed/30968033
http://dx.doi.org/10.3389/fvets.2019.00084
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author Truong, Dinh Bao
Doan, Hoang Phu
Doan Tran, Vinh Khanh
Nguyen, Van Cuong
Bach, Tuan Kiet
Rueanghiran, Chalalai
Binot, Aurélie
Goutard, Flavie L.
Thwaites, Guy
Carrique-Mas, Juan
Rushton, Jonathan
author_facet Truong, Dinh Bao
Doan, Hoang Phu
Doan Tran, Vinh Khanh
Nguyen, Van Cuong
Bach, Tuan Kiet
Rueanghiran, Chalalai
Binot, Aurélie
Goutard, Flavie L.
Thwaites, Guy
Carrique-Mas, Juan
Rushton, Jonathan
author_sort Truong, Dinh Bao
collection PubMed
description In the Mekong Delta of Vietnam, poultry farmers use high amounts of antimicrobials, but little is known about the drivers that influence this usage. We aimed to identify these drivers using a novel approach that combined participatory epidemiology (PE) and Q-sorting (a methodology that allows the analysis of the subjectivity of individuals facing a common phenomenon). A total of 26 semi-structured collective interviews were conducted with 125 farmers representative of the most common farming systems in the area (chickens, meat ducks, and mobile grazing ducks), as well as with 73 farmers' advisors [veterinarians, veterinary drug shop owners, and government veterinarians/commune animal health workers (CAHWs)] in five districts of Dong Thap province (Mekong Delta). Through these interviews, 46 statements related to the antimicrobials' perceived reliability, costs, and impact on flock health were created. These statements were then investigated on 54 individuals (28 farmers and 26 farmers' advisors) using Q-sorting interviews. Farmers generally indicated a higher propensity for antimicrobial usage (AMU) should their flocks encounter bacterial infections (75.0–78.6%) compared with viral infections (8.3–66.7%). The most trusted sources of advice to farmers were, in decreasing order: government veterinarian/CAHWs, their own knowledge/experience, veterinary drug shop owners, and sales persons from pharmaceutical and feed companies. The highest peak of AMU took place in the early phase of the production cycle. Farmers and their advisors showed considerable heterogeneity of attitudes with regards to AMU, with, respectively, four and three discourses representing their views on AMU. Overall, farmers regarded the cost of AMU cheaper than other disease management practices implemented on their farms. However, they also believed that even though these measures were more expensive, they would also lead to more effective disease prevention. A key recommendation from this finding would be for the veterinary authorities to implement long-term sustainable training programs aiming at reducing farmers' reliance on antimicrobials.
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spelling pubmed-64426452019-04-09 Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach Truong, Dinh Bao Doan, Hoang Phu Doan Tran, Vinh Khanh Nguyen, Van Cuong Bach, Tuan Kiet Rueanghiran, Chalalai Binot, Aurélie Goutard, Flavie L. Thwaites, Guy Carrique-Mas, Juan Rushton, Jonathan Front Vet Sci Veterinary Science In the Mekong Delta of Vietnam, poultry farmers use high amounts of antimicrobials, but little is known about the drivers that influence this usage. We aimed to identify these drivers using a novel approach that combined participatory epidemiology (PE) and Q-sorting (a methodology that allows the analysis of the subjectivity of individuals facing a common phenomenon). A total of 26 semi-structured collective interviews were conducted with 125 farmers representative of the most common farming systems in the area (chickens, meat ducks, and mobile grazing ducks), as well as with 73 farmers' advisors [veterinarians, veterinary drug shop owners, and government veterinarians/commune animal health workers (CAHWs)] in five districts of Dong Thap province (Mekong Delta). Through these interviews, 46 statements related to the antimicrobials' perceived reliability, costs, and impact on flock health were created. These statements were then investigated on 54 individuals (28 farmers and 26 farmers' advisors) using Q-sorting interviews. Farmers generally indicated a higher propensity for antimicrobial usage (AMU) should their flocks encounter bacterial infections (75.0–78.6%) compared with viral infections (8.3–66.7%). The most trusted sources of advice to farmers were, in decreasing order: government veterinarian/CAHWs, their own knowledge/experience, veterinary drug shop owners, and sales persons from pharmaceutical and feed companies. The highest peak of AMU took place in the early phase of the production cycle. Farmers and their advisors showed considerable heterogeneity of attitudes with regards to AMU, with, respectively, four and three discourses representing their views on AMU. Overall, farmers regarded the cost of AMU cheaper than other disease management practices implemented on their farms. However, they also believed that even though these measures were more expensive, they would also lead to more effective disease prevention. A key recommendation from this finding would be for the veterinary authorities to implement long-term sustainable training programs aiming at reducing farmers' reliance on antimicrobials. Frontiers Media S.A. 2019-03-25 /pmc/articles/PMC6442645/ /pubmed/30968033 http://dx.doi.org/10.3389/fvets.2019.00084 Text en Copyright © 2019 Truong, Doan, Doan Tran, Nguyen, Bach, Rueanghiran, Binot, Goutard, Thwaites, Carrique-Mas and Rushton. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Truong, Dinh Bao
Doan, Hoang Phu
Doan Tran, Vinh Khanh
Nguyen, Van Cuong
Bach, Tuan Kiet
Rueanghiran, Chalalai
Binot, Aurélie
Goutard, Flavie L.
Thwaites, Guy
Carrique-Mas, Juan
Rushton, Jonathan
Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title_full Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title_fullStr Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title_full_unstemmed Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title_short Assessment of Drivers of Antimicrobial Usage in Poultry Farms in the Mekong Delta of Vietnam: A Combined Participatory Epidemiology and Q-Sorting Approach
title_sort assessment of drivers of antimicrobial usage in poultry farms in the mekong delta of vietnam: a combined participatory epidemiology and q-sorting approach
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6442645/
https://www.ncbi.nlm.nih.gov/pubmed/30968033
http://dx.doi.org/10.3389/fvets.2019.00084
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