Environmental and Economic Impacts of Improved Antibiotics Stewardship in Poultry Systems

Lead Research Organisation: University of Edinburgh
Department Name: The Roslin Institute

Abstract

To address AMR, there is consensus on the need to reduce antimicrobial use (AMU) in food animal production. Intensive poultry production is characterised by high AMU and associated environmental risks to human health through direct and indirect (environmental) transmission - e.g. from livestock waste. As in other LMIC countries there are emerging challenges in designing regulatory structures and priorities based on robust evidence of effectiveness and cost of different voluntary and mandatory interventions across different parts of the supply chain. This proposal offers five linked interdisciplinary work packages exploring different elements related to drivers of AMU, pathways to resistance, and economic costs of alternative mitigation measures and their effectiveness in terms of reducing AMR risks. The project adopts novel perspectives in terms of the development of antimicrobial stewardship across all industry actors (e.g. breeders, feeding, pharmaceutical, veterinarians, farmers, retailers). We also use a theoretical framework (a marginal abatement cost curve) to represent relative cost-effectiveness of mitigation measures. Further project elements will share experience on research and training methods and science-policy translation between countries.
Activities:
WP1 Supply/value chain characterisation: To define stewardship in terms of supply chain relationships and to model value chains in economic terms, development of farm scale economic models to test costs of interventions. Identification of different mitigation measures to reduce AMU, modelling propensity to adopt alternative AMU practices.
WP2 AMR prevalence of AMR in target farms/systems: In selected groups of farms to identify /confirm AMR hotspots prevalence and pathways in farms & supply chains using bacteriological and metagenomic approaches to evaluate the consequences and relationship between AMR and different productive performances, considering resource consumption and residue generation, with the aim to model and characterise each group regarding its environmental impact (GHG emissions, pollution risk to in soil and water, and potential consequences).
WP3 Characterising AMU reduction interventions: Evaluating the effectiveness of alternative mitigation measures identified in WP1.
WP4 Cost-benefit analysis and scenarios: Development of a marginal abatement cost curve showing relative cost-effectiveness of alternative interventions targeting AMU.
WP5 Decision support for industry policy, scenarios & integration: Developing industry support tool and supply chain guidance on AM stewardship plan across poultry industry stakeholders for promotion of adoption of CE measures. Evaluating potential regulatory interventions targeting AMU.
The project seeks to understand and co-design cost-effective interventions across all supply chain actors that have a role on the stewardship of AMs, and can potentially influence on-farm behaviours, directly or indirectly. There is a need to understand how the action of the different actors might be combined to reduce AM use in production. The project will develop economic and behavioural methodologies as a basis for informing Argentinian field studies that seek to understand AMU drivers. It will test various responses (behavioural interventions), and evaluate the pathways to impacts; i.e. how these interventions and reduced use might actually reduce AMR, and what the broader economic costs and benefits of such scenarios might be. Much of the project will involve raising awareness of the role of economics among scientists, industry, regulators, and other policy makers, with a series of research, and policy meetings and joint events in both countries. It will also develop a consistent framework for representing the costs and benefits of measures to modify antimicrobial use in agriculture. This in turn will offer lessons for the development of LMIC strategies for managing antimicrobial use in poultry production.

Technical Summary

There is a need to regulate use of antimicrobial medicines in food animal production. Focusing poultry supply chains, this project adopts a One Health approach to understand and quantify the environmental and economic impacts (costs and benefits) of modified antimicrobial use and to co-design system interventions that are feasible, acceptable and cost-effective for producers. We take a whole supply/value chain perspective, using economic and social research methods to understand the role of all actors and transfer of value from breeding to retail, to define these interventions. . We will also quantify the abundance and diversity of AMR along this chain, supported by in vivo and in vitro studies. Samples will be collected and microbiological and metagenomic data will be analysed in collaboration with University of Edinburgh, as part of postdoctoral training/exchanges. Our interdisciplinary research will inform rational use and the development of decision support tools to inform production (e.g. on farm). We will develop the notion of antimicrobial stewardship as an industry (voluntary) approach, but we also consider other mandatory and market-based policy scenarios for measure compliance. Our methodologies will consider industry-wide effects and will be appropriate for use in other LMIC contexts for data collection and prioritisation of poultry sector antimicrobial use (AMU) interventions. This project suggest a marginal abatement cost framework as an integrative element for other projects funded under this call.

Planned Impact

We identify the following beneficiary groups:

Public:
The ultimate long-term impact targeted by this project is to reduce AMR through improved global stewardship of antimicrobial drugs in poultry production worldwide. This change will contribute to the maintenance of a global common pool resource (antimicrobials) and hence the beneficiaries are the global population - i.e. the general public depending on efficacy of antimicrobials to control bacterial diseases in humans and animals. The project will deliver increased awareness of the complex interplay between supply chain actors in terms of delivering stewardship of valuable drugs, and will provide an integrated tool/system to promote rational AMU in the context of cost-effective poultry/livestock production. It also points to the need to the best way to collect limited data in LMICs.

Livestock industry:
Livestock farmers, meat processors and retailers are obliged to produce meat and eggs that are safe and in a manner that does not adversely affect animal welfare, the environment or public health. The stewardship of antimicrobials is a major challenge facing the industry and public attitudes towards current farming practices. This project will clarify the different costs and benefits of AMU, and addresses the behavioural barriers to change in this sector by studying the role of different supply chain actors and will propose interventions that can be used to drive down AMU within the industry.

Vets:
Vets are notionally part of our AMU stewardship "supply chain" and will be beneficiaries of additional training in the control of AMR, following the guides developed by the research team. This evidence will be of use to veterinary and medical stakeholders seeking to implement a One Health approach to AMR. Note that this project is addressing an area that is characterized by significant data gaps.

One Health stakeholders:
AMR has been described as the quintessential One Health challenge requiring an improved understanding of antimicrobial use in animal and human medicine. We have noted numerous national and international strategies addressing AMR, but none of these provides a convincing framework for assessing economics (cost-effectiveness) and behavioral change in supply chains. We expect our results to be of interest to several international organizations including OIE, WHO, FAO and OECD.

Educators:
Further direct beneficiaries are educators especially in the veterinary sector who seeking tools and techniques for developing veterinary curricula to include effective behavioral interventions and social science methods in general. We are aiming to develop these tools for delivery in veterinary training (i.e. continuing professional development) worldwide.
Public health regulators:
Beyond the long-term behavioral objective, the project seeks to understand the effectiveness of other policy instruments (e.g. tradable antimicrobial credits). Information on the potential effectiveness of these instruments will be of benefit to health regulators in all countries seeking the most cost-effective policy approach to regulating antimicrobial use.

Academics:
Academics will benefit from this research in terms of development of joint interdisciplinary publications, gaining demonstrable interdisciplinary experience and in terms of training opportunities for younger postdoctoral project partners.

UKRI/CONICET:
AMR offers a variety of challenges that cannot be addressed without an understanding of the social and economic drivers of antimicrobial use in human and animal systems and the environment. The research councils will benefit from developing an example of truly cross-disciplinary research in this One Health area. UKRI is seeking to develop the area of biosocial science and we suggest that this project will contribute significantly in framing the relevant scientific and policy questions linking social drivers with biological outcomes.
 
Description Poultry supply chain models developed and key entry points for antimicrobial control identified. This information is part of a systematic review conducted for VMD and curently in submission to an international journal.
Exploitation Route identifying control point in livestock systems is of use to VMD and SENASA in Argentina
Sectors Agriculture, Food and Drink,Government, Democracy and Justice,Retail

 
Title AM WTP_Lisrel routine 
Description A routine created in Lisrel Software package depicting relationships in the theoretical framework on causal factors influencing consumer choice/willingness to pay for AM free poultry meat. The routine follows the structure of a structural choice model and includes causality assumptions, and choice/WTP. The routine is created specifically for this project. The generic model will be estimated with survey data collected from the Argentinian and British consumers, when available, with potential subsequent modifications to be made to the algorithm based on data response to model assumptions. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact The model will be estimated with primary survey data collected from the Argentinian and British consumers. The impact within the project is expected in WP4 (scenarios to simulation trade model). Potential impact beyond the project - it is expected that the model will contribute to the literature on causal factors of AM use related choice/WTP (consumer demand), which is currently still incipient. 
 
Title AM behaviour_Lisrel routine 
Description A routine created in Lisrel Software package depicting relationships in the theoretical framework on causal factors influencing poultry farmer intentions and behaviour as regards use of AM alternative measures to control disease on farm. The routine follows the structure of a structural equation model and includes causality assumptions, measurement model, structural model, and technical assumptions. Technical assumptions are related to the DWLS estimation method. The routine is created specifically for this project. The generic model will be estimated with survey data collected from the Argentinian poultry farmers, when available, with potential subsequent modifications to be made to the algorithm based on data response to model assumptions. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact The model will be estimated with primary survey data collected from the Argentinian poultry farmers. The impact within the project is expected in WP1 (farm analysis) and WP4 (scenarios to simulation trade model). Potential impact beyond the project - it is expected that the model will contribute to the literature on causal factors of AM use related behaviours in agricultural primary production, which is currently still incipient. 
 
Title AM behaviour_questionnaire 
Description The questionnaire follows a combination of theoretical frameworks of attitudes, intentions and behaviour. Questionnaire items are designed to be tested using structural equation modelling, and follow SEM technical requirements in terms of e.g. number and representation (reflexive or formative) of indicators per latent variable. The observed variable section will be appended (pre-survey data collection) into a separate form for collection of farm production data directly feeding into the farm production model. 
Type Of Material Data analysis technique 
Year Produced 2021 
Provided To Others? No  
Impact The questionnaire will be applied to a primary survey of Argentinian poultry farmers and data collected will be fed into the Lisrel routine for estimation of behavioural relationships (required for analysis in WP1 and WP4), with some raw data used directly (after pre-processing) into the farm production analysis (WP1). We will publish the questionnaire as part of an article on the behavioural analysis and thus it may have an impact on the research community working on the topic. 
 
Title AM behaviour_questionnaire - consumer WTP 
Description The questionnaire follows a combination of theoretical frameworks of attitudes, intentions and choice. Questionnaire items are designed to be tested using structural choice modelling, and follow SCM technical requirements in terms of e.g. number and representation (reflexive or formative) of indicators per latent variable, and building the choice variable (willingness to pay). The questionnaire includes sections feeding into assessment of causal relationships (SEM) and choice/WTP (SCM). 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact The questionnaire will be applied to two primary surveys of Argentinian and British consumers and data collected will be fed into the Lisrel routine for estimation of choice/WTP. We will publish the questionnaire as part of an article on the SCM analysis and thus it may have an impact on the research community working on the topic.