Protocol for an interdisciplinary cross-sectional study investigating the social, biological and community-level drivers of antimicrobial resistance (AMR): Holistic Approach to Unravel Antibacterial Resistance in East Africa (HATUA)
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Andy G Lynch,
Joel Bazira,
Derek J Sloan,
Catherine Kansiime,
Stella Neema,
Wilber Sabiiti,
Stephen H Gillespie,
Blandina T Mmbaga,
David M Aanensen,
John Stelling,
Alison Elliott,
Benon B Asiimwe,
John Kiiru,
Stephen E Mshana,
Katherine Keenan,
Mike Kesby,
Joseph R Mwanga,
V Anne Smith,
Alison Sandeman,
Gibson E Kibiki,
Matthew T G Holden,
Martha F Mushi,
Arun Gonzales Decano,
Dominique L Green,
John Mwaniki,
Nyanda E Ntinginya
Affiliations
4Association of British Neurologists
Andy G Lynch
School of Medicine, University of St Andrews, St Andrews, UK
Joel Bazira
Derek J Sloan
3 Infection and Global Health Division, School of Medicine, University of Saint Andrews, Saint Andrews, Fife, UK
Catherine Kansiime
Stella Neema
College of Humanities and Social Science, Makerere University, Kampala, Uganda
Wilber Sabiiti
Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK
Stephen H Gillespie
Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, Fife, UK
Blandina T Mmbaga
Kilimanjaro Christian Medical University College, Moshi, Tanzania
David M Aanensen
Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Cambridge, UK
John Stelling
Department of Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
Alison Elliott
Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK
Benon B Asiimwe
School of Biomedical Sciences, Makerere University, Kampala, Uganda
John Kiiru
Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya
Stephen E Mshana
Department of Microbiology and Immunology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania, United Republic of
Katherine Keenan
School of Geography and Sustainable Development, University of St Andrews, St Andrews, UK
Mike Kesby
Geography and Sustainable Development, University of St Andrews, St Andrews, Fife, UK
Joseph R Mwanga
Epidemiology, Biostatistics, and Behavioural Sciences School of Public Health, Catholic University of Health and Allied Sciences Bugando, Mwanza, Tanzania
V Anne Smith
School of Biology, University of St Andrews, St Andrews, UK
Alison Sandeman
School of Medicine, University of St Andrews, St Andrews, UK
Gibson E Kibiki
East African Health Research Commission, Bujumbura, Burundi
Matthew T G Holden
School of Medicine, University of St Andrews, St Andrews, UK
Introduction Antimicrobial resistance (AMR) is a global health threat that requires urgent research using a multidisciplinary approach. The biological drivers of AMR are well understood, but factors related to treatment seeking and the social contexts of antibiotic (AB) use behaviours are less understood. Here we describe the Holistic Approach to Unravel Antibacterial Resistance in East Africa, a multicentre consortium that investigates the diverse drivers of drug resistance in urinary tract infections (UTIs) in East Africa.Methods and analysis This study will take place in Uganda, Kenya and Tanzania. We will conduct geospatial mapping of AB sellers, and conduct mystery client studies and in-depth interviews (IDIs) with drug sellers to investigate AB provision practices. In parallel, we will conduct IDIs with doctors, alongside community focus groups. Clinically diagnosed patients with UTI will be recruited from healthcare centres, provide urine samples and complete a questionnaire capturing retrospective treatment pathways, sociodemographic characteristics, attitudes and knowledge. Bacterial isolates from urine and stool samples will be subject to culture and antibiotic sensitivity testing. Genomic DNA from bacterial isolates will be extracted with a subset being sequenced. A follow-up household interview will be conducted with 1800 UTI-positive patients, where further environmental samples will be collected. A subsample of patients will be interviewed using qualitative tools. Questionnaire data, microbiological analysis and qualitative data will be linked at the individual level. Quantitative data will be analysed using statistical modelling, including Bayesian network analysis, and all forms of qualitative data analysed through iterative thematic content analysis.Ethics and dissemination Approvals have been obtained from all national and local ethical review bodies in East Africa and the UK. Results will be disseminated in communities, with local and global policy stakeholders, and in academic circles. They will have great potential to inform policy, improve clinical practice and build regional pathogen surveillance capacity.