Evidence map›Paper›PMID 38363770›Full record

ArticlePLOS global public health2024

Treatment seeking behaviours, antibiotic use and relationships to multi-drug resistance: A study of urinary tract infection patients in Kenya, Tanzania and Uganda.

Keina Sado, Katherine Keenan, Areti Manataki, Mike Kesby, Martha F Mushi, Stephen E Mshana, Joseph R Mwanga, Stella Neema, Benon Asiimwe, Joel Bazira and 16 more

Open access · goldAbstract read
In one paragraph

Article in PLOS global public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 7 institutions in 4 countries.

Keina SadoUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0009-0002-7596-4325
Katherine KeenanUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0000-0002-9670-1607
Areti ManatakiUniversity of St Andrews, St Andrews, United Kingdom.
Mike KesbyUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0000-0001-7789-870X
Martha F MushiCatholic University of Health and Allied Sciences, Mwanza, Tanzania.
Stephen E MshanaCatholic University of Health and Allied Sciences, Mwanza, Tanzania.
Joseph R MwangaCatholic University of Health and Allied Sciences, Mwanza, Tanzania.
Stella NeemaMakerere University, Kampala, Uganda.
Benon AsiimweMakerere University, Kampala, Uganda.
Joel BaziraMbarara University of Science and Technology, Mbarara, Uganda.
John KiiruKenya Medical Research Institute, Nairobi, Kenya.
Dominique L GreenUniversity of St Andrews, St Andrews, United Kingdom.
Xuejia KeUniversity of St Andrews, St Andrews, United Kingdom.
Antonio Maldonado-BarragánUniversity of St Andrews, St Andrews, United Kingdom.
Mary Abed Al AhadUniversity of St Andrews, St Andrews, United Kingdom.
Kathryn J FredricksUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0000-0002-2529-6966
Stephen H GillespieUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0000-0001-6537-7712
Wilber SabiitiUniversity of St Andrews, St Andrews, United Kingdom.
Blandina T MmbagaKilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania.ORCID https://orcid.org/0000-0002-5550-1916
Gibson KibikiAfrica Excellence Research Fund, London, United Kingdom.
David AanensenOxford Big Data Institute, Oxford, United Kingdom.
V Anne SmithUniversity of St Andrews, St Andrews, United Kingdom.ORCID https://orcid.org/0000-0002-0487-2469
Alison SandemanUniversity of St Andrews, St Andrews, United Kingdom.
Derek J SloanUniversity of St Andrews, St Andrews, United Kingdom.
Matthew T G HoldenUniversity of St Andrews, St Andrews, United Kingdom.
HATUA Consortium
University of St Andrews · GBCatholic University of Health and Allied Sciences · TZMakerere University · UGKenya Medical Research Institute · KEKilimanjaro Christian Medical Centre · TZMbarara University of Science and Technology · UGOpen Data Institute · GB

Funding

Medical Research Council MR/V036157/1Wellcome Trust
6 · The paper itself

Abstract

Antibacterial resistance (ABR) is a major public health threat. An important accelerating factor is treatment-seeking behaviour, including inappropriate antibiotic (AB) use. In many low- and middle-income countries (LMICs) this includes taking ABs with and without prescription sourced from various providers, including health facilities and community drug sellers. However, investigations of complex treatment-seeking, AB use and drug resistance in LMICs are scarce. The Holistic Approach to Unravel Antibacterial Resistance in East Africa (HATUA) Consortium collected questionnaire and microbiological data from adult outpatients with urinary tract infection (UTI)-like symptoms presenting at healthcare facilities in Kenya, Tanzania and Uganda. Using data from 6,388 patients, we analysed patterns of self-reported treatment seeking behaviours ('patient pathways') using process mining and single-channel sequence analysis. Among those with microbiologically confirmed UTI (n = 1,946), we used logistic regression to assess the relationship between treatment seeking behaviour, AB use, and the likelihood of having a multi-drug resistant (MDR) UTI. The most common treatment pathway for UTI-like symptoms in this sample involved attending health facilities, rather than other providers like drug sellers. Patients from sites in Tanzania and Uganda, where over 50% of patients had an MDR UTI, were more likely to report treatment failures, and have repeat visits to providers than those from Kenyan sites, where MDR UTI proportions were lower (33%). There was no strong or consistent relationship between individual AB use and likelihood of MDR UTI, after accounting for country context. The results highlight the hurdles East African patients face in accessing effective UTI care. These challenges are exacerbated by high rates of MDR UTI, suggesting a vicious cycle of failed treatment attempts and sustained selection for drug resistance. Whilst individual AB use may contribute to the risk of MDR UTI, our data show that factors related to context are stronger drivers of variations in ABR.

Identifiers

PMID38363770
PMCPMC10871516
OpenAlexW4391893435

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.