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).
infection control
microbiology
public health
social medicine
urinary tract infections
Journal
BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874
Informations de publication
Date de publication:
08 03 2021
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
e041418Subventions
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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