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Optimising community antibiotic use and infection control with behavioural interventions in rural Burkina Faso and DR Congo

Lead Research Organisation: University of Oxford
Department Name: Tropical Medicine

Abstract

Emergence of antibiotic resistance (AMR) is a serious concern for Low and Middle Income Countries (LMICs). Unregulated use of antibiotics, a major AMR driver, is highly prevalent in LMICs, with medicine stores as key providers. Physical interactions between One Health compartments increase cross-domain transmission risks, although the relative importance of different reservoirs is uncertain, with community- level dynamics of AMR in LMICs largely unquantified. We will develop and evaluate a behavioural intervention bundle, targeting medicine stores and their communities, to optimise antibiotic use and improve hygiene, and hence reduce AMR prevalence and transmission. After a 6-month local co-development phase, the intervention will be implemented over 12 months in established health demographic surveillance sites in Burkina Faso and DR Congo with clinical microbiology facilities, and evaluated in a cluster RCT, comparing intervention and control villages. The primary outcome measure is the change in Watch antibiotic provision from medicine stores (where a formal prescription is not required), assessed via patient exit interviews and simulated client visits. Changes in hygiene practices and AMR pathogen and gene carriage will be assessed in repeated population surveys. Rodents, living in close proximity to humans in much of sub-Sahara Africa, provide a proxy estimate of environmental AMR pathogen and gene exposure. Using modelling and sequencing of selected human and rodent isolates, we will quantify how changes in antibiotic use and hygiene practices impact AMR transmission.

Technical Summary

Emergence of antibiotic resistance (AMR) is a serious concern for Low and Middle Income Countries (LMICs). Unregulated use of antibiotics, a major AMR driver, is highly prevalent in LMICs, with medicine stores as key providers. Physical interactions between One Health compartments increase cross-domain transmission risks, although the relative importance of different reservoirs is uncertain, with community- level dynamics of AMR in LMICs largely unquantified. We will develop and evaluate a behavioural intervention bundle, targeting medicine stores and their communities, to optimise antibiotic use and improve hygiene, and hence reduce AMR prevalence and transmission. After a 6-month local co-development phase, the intervention will be implemented over 12 months in established health demographic surveillance sites in Burkina Faso and DR Congo with clinical microbiology facilities, and evaluated in a cluster RCT, comparing intervention and control villages. The primary outcome measure is the change in Watch antibiotic provision from medicine stores (where a formal prescription is not required), assessed via patient exit interviews and simulated client visits. Changes in hygiene practices and AMR pathogen and gene carriage will be assessed in repeated population surveys. Rodents, living in close proximity to humans in much of sub-Sahara Africa, provide a proxy estimate of environmental AMR pathogen and gene exposure. Using modelling and sequencing of selected human and rodent isolates, we will quantify how changes in antibiotic use and hygiene practices impact AMR transmission.

Publications

10 25 50
 
Title Bayesian model for analysis of trial data 
Description We have developed a new Bayesian model to account for interval censored bacterial carriage data and are applying it to the trial data to quantify the effect on interventions on transmission of drug-resistant bacteria within villages at the study sites. Full code for the model will be published when the manuscript, which we are working on now, is submitted. 
Type Of Material Computer model/algorithm 
Year Produced 2024 
Provided To Others? No  
Impact No impact yet, as we haven't yet submitted it, but we anticipate that it will be of use to others working with similar datasets. 
 
Description cabu-eico collaboration 
Organisation Clinical Research Unit of Nanoro (CRUN)
Country Burkina Faso 
Sector Private 
PI Contribution My team are leading a work package on modelling working on this project alongside ITM and other collaborators
Collaborator Contribution Partners are working on the social science, data collection, microbiology and genomics, and development and implementation of the behavioural intervention
Impact Collaboration is multi-disciplinary, including microbiology, mathematical modelling, and social science No research outputs yet
Start Year 2022
 
Description cabu-eico collaboration 
Organisation Institute of Tropical Medicine Antwerp
Country Belgium 
Sector Academic/University 
PI Contribution My team are leading a work package on modelling working on this project alongside ITM and other collaborators
Collaborator Contribution Partners are working on the social science, data collection, microbiology and genomics, and development and implementation of the behavioural intervention
Impact Collaboration is multi-disciplinary, including microbiology, mathematical modelling, and social science No research outputs yet
Start Year 2022
 
Description cabu-eico collaboration 
Organisation Pasteur Institute, Paris
Country France 
Sector Charity/Non Profit 
PI Contribution My team are leading a work package on modelling working on this project alongside ITM and other collaborators
Collaborator Contribution Partners are working on the social science, data collection, microbiology and genomics, and development and implementation of the behavioural intervention
Impact Collaboration is multi-disciplinary, including microbiology, mathematical modelling, and social science No research outputs yet
Start Year 2022
 
Description cabu-eico collaboration 
Organisation University of Antwerp
Country Belgium 
Sector Academic/University 
PI Contribution My team are leading a work package on modelling working on this project alongside ITM and other collaborators
Collaborator Contribution Partners are working on the social science, data collection, microbiology and genomics, and development and implementation of the behavioural intervention
Impact Collaboration is multi-disciplinary, including microbiology, mathematical modelling, and social science No research outputs yet
Start Year 2022
 
Description cabu-eico collaboration 
Organisation University of Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution My team are leading a work package on modelling working on this project alongside ITM and other collaborators
Collaborator Contribution Partners are working on the social science, data collection, microbiology and genomics, and development and implementation of the behavioural intervention
Impact Collaboration is multi-disciplinary, including microbiology, mathematical modelling, and social science No research outputs yet
Start Year 2022
 
Description Nairobi workshop 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact This workshop is currently taking place and is focused on using results of AMR burden estimates to inform policy to control AMR in Africa. While primarily linked to a different project, it is also an opportunity to showcase and discuss results of the award "Optimising community antibiotic use and infection control with behavioural interventions in rural Burkina Faso and DR Congo"
The workshop is ongoing and is attended by approx 40 people, mostly linked to people working on AMR in national health ministries in Africa
Year(s) Of Engagement Activity 2025