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).


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
08 03 2021
Historique:
entrez: 19 5 2021
pubmed: 20 5 2021
medline: 3 6 2021
Statut: epublish

Résumé

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. 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. 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.

Identifiants

pubmed: 34006022
pii: bmjopen-2020-041418
doi: 10.1136/bmjopen-2020-041418
pmc: PMC7942251
doi:

Substances chimiques

Anti-Bacterial Agents 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e041418

Subventions

Organisme : Medical Research Council
ID : MC_UU_00027/5
Pays : United Kingdom
Organisme : Department of Health [UK]
Organisme : Medical Research Council
ID : 107743
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/S004785/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 107743
Pays : United Kingdom
Organisme : NCI NIH HHS
ID : U01 CA207167
Pays : United States

Investigateurs

Catherine Kansiime (C)
Martha F Mushi (MF)
Arun Gonzales Decano (AG)
Dominique L Green (DL)
John Mwaniki (J)
Nyanda E Ntinginya (NE)
Joel Bazira (J)

Informations de copyright

© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: None declared.

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Auteurs

Benon B Asiimwe (BB)

School of Biomedical Sciences, Makerere University, Kampala, Uganda.

John Kiiru (J)

Centre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.

Stephen E Mshana (SE)

Department of Microbiology and Immunology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.

Stella Neema (S)

College of Humanities and Social Science, Makerere University, Kampala, Uganda.

Katherine Keenan (K)

Geography and Sustainable Development, University of St Andrews, St Andrews, Fife, UK katherine.keenan@st-andrews.ac.uk.

Mike Kesby (M)

Geography and Sustainable Development, University of St Andrews, St Andrews, Fife, UK.

Joseph R Mwanga (JR)

School of Public Health, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.

Derek J Sloan (DJ)

School of Medicine, University of St Andrews, St Andrews, UK.

Blandina T Mmbaga (BT)

Kilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre and Kilimanjaro Christian Medical University College, Moshi, Tanzania.

V Anne Smith (VA)

School of Biology, University of St Andrews, St Andrews, UK.

Stephen H Gillespie (SH)

School of Medicine, University of St Andrews, St Andrews, UK.

Andy G Lynch (AG)

School of Medicine, University of St Andrews, St Andrews, UK.
School of Mathematics and Statistics, University of St Andrews, St Andrews, UK.

Alison Sandeman (A)

School of Medicine, University of St Andrews, St Andrews, UK.

John Stelling (J)

Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Alison Elliott (A)

Clinical Research Department, London School of Hygiene & Tropical Medicine, London, UK.
Immunomodulation and Vaccines Programme, Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Institute, Kampala, Uganda.

David M Aanensen (DM)

Centre for Genomic Pathogen Surveillance, Wellcome Genome Campus, Cambridge, UK.
Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Gibson E Kibiki (GE)

East African Health Research Commission, Bujumbura, Burundi.

Wilber Sabiiti (W)

School of Medicine, University of St Andrews, St Andrews, UK.

Matthew T G Holden (MTG)

School of Medicine, University of St Andrews, St Andrews, UK.

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Classifications MeSH