Unravelling patient pathways in the context of antibacterial resistance in East Africa

HATUA Consortium, Katherine Keenan*, Kathryn J Fredricks, Mary Abed Al Ahad, Stella Neema, Joseph R Mwanga, Mike Kesby, Martha F Mushi, Annette Aduda, Dominique L Green, Andy G Lynch, Sarah I Huque, Blandina T Mmbaga, Hannah Worthington, Catherine Kansiime, Emmanuel Olamijuwon, Nyanda E Ntinginya, Olga Loza, Joel Bazira, Antonio Maldonado-BarragánVAnne Smith, Arun Gonzales Decano, John Mwaniki Njeru, Alison Sandeman, John Stelling, Alison Elliott, David Aanensen, Stephen H Gillespie, Gibson Kibiki, Wilber Sabiiti, Derek J Sloan, Benon B Asiimwe, John Kiiru, Stephen E Mshana, Matthew T G Holden

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

BACKGROUND

A key factor driving the development and maintenance of antibacterial resistance (ABR) is individuals' use of antibiotics (ABs) to treat illness. To better understand motivations and context for antibiotic use we use the concept of a patient treatment-seeking pathway: a treatment journey encompassing where patients go when they are unwell, what motivates their choices, and how they obtain antibiotics. This paper investigates patterns and determinants of patient treatment-seeking pathways, and how they intersect with AB use in East Africa, a region where ABR-attributable deaths are exceptionally high.



METHODS

The Holistic Approach to Unravelling Antibacterial Resistance (HATUA) Consortium collected quantitative data from 6,827 adult outpatients presenting with urinary tract infection (UTI) symptoms in Kenya, Tanzania, and Uganda between February 2019- September 2020, and conducted qualitative in-depth patient interviews with a subset (n = 116). We described patterns of treatment-seeking visually using Sankey plots and explored explanations and motivations using mixed-methods. Using Bayesian hierarchical regression modelling, we investigated the associations between socio-demographic, economic, healthcare, and attitudinal factors and three factors related to ABR: self-treatment as a first step, having a multi-step treatment pathway, and consuming ABs.



RESULTS

Although most patients (86%) sought help from medical facilities in the first instance, many (56%) described multi-step, repetitive treatment-seeking pathways, which further increased the likelihood of consuming ABs. Higher socio-economic status patients were more likely to consume ABs and have multi-step pathways. Reasons for choosing providers (e.g., cost, location, time) were conditioned by wider structural factors such as hybrid healthcare systems and AB availability.



CONCLUSION

There is likely to be a reinforcing cycle between complex, repetitive treatment pathways, AB consumption and ABR. A focus on individual antibiotic use as the key intervention point in this cycle ignores the contextual challenges patients face when treatment seeking, which include inadequate access to diagnostics, perceived inefficient public healthcare and ease of purchasing antibiotics without prescription. Pluralistic healthcare landscapes may promote more complex treatment seeking and therefore inappropriate AB use. We recommend further attention to healthcare system factors, focussing on medical facilities (e.g., accessible diagnostics, patient-doctor interactions, information flows), and community AB access points (e.g., drug sellers).

Original languageEnglish
Article number414
Number of pages12
JournalBMC Infectious Diseases
Volume23
Issue number1
DOIs
Publication statusPublished - 19 Jun 2023

Keywords

  • Adult
  • Humans
  • Qualitative Research
  • Bayes Theorem
  • Delivery of Health Care
  • Uganda
  • Anti-Bacterial Agents/pharmacology

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