Evidence map›Paper›PMID 36945627›Full record

ArticlemedRxiv : the preprint server for health sciences2023

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 Mwanga, Stella Neema, Benon Asiimwe, Joel Bazira and 15 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Keina SadoUniversity of St Andrews, St Andrews, UK.
Katherine KeenanUniversity of St Andrews, St Andrews, UK.
Areti ManatakiUniversity of St Andrews, St Andrews, UK.
Mike KesbyUniversity of St Andrews, St Andrews, UK.
Martha F MushiCatholic University Of Health And Allied Sciences, Mwanza, Tanzania.
Stephen E MshanaCatholic University Of Health And Allied Sciences, Mwanza, Tanzania.
Joseph 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, UK.
Xuejia KeUniversity of St Andrews, St Andrews, UK.
Antonio Maldonado-BarragánUniversity of St Andrews, St Andrews, UK.
Mary Abed Al AhadUniversity of St Andrews, St Andrews, UK.
Kathryn FredricksUniversity of St Andrews, St Andrews, UK.
Stephen H GillespieUniversity of St Andrews, St Andrews, UK.
Wilber SabiitiUniversity of St Andrews, St Andrews, UK.
Blandina T MmbagaKilimanjaro Clinical Research Institute, Kilimanjaro Christian Medical Centre, Moshi, Tanzania; Kilimanjaro Christian Medical University College, Moshi Tanzania.
Gibson KibikiAfrica Excellence Research Fund, London, UK.
David AanensenOxford Big Data Institute, Oxford, UK.
V Anne SmithUniversity of St Andrews, St Andrews, UK.
Alison SandemanUniversity of St Andrews, St Andrews, UK.
Derek J SloanUniversity of St Andrews, St Andrews, UK.
Matthew Tg HoldenUniversity of St Andrews, St Andrews, UK.

Funding

Medical Research Council MR/S004785/1NIMHD NIH HHS L60 MD014548Wellcome Trust
6 · The paper itself

Abstract

Antibacterial resistance (ABR) is a major public health threat. An important accelerating factor is treatment-seeking behaviours, 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 6,827 adult outpatients with urinary tract infection (UTI)-like symptoms presenting at healthcare facilities in Kenya, Tanzania and Uganda. Among 6,388 patients we analysed patterns of self-reported treatment seeking behaviours ('patient pathways') using process mining and single-channel sequence analysis. Of those with microbiologically confirmed UTI (n=1,946), we used logistic regression to assessed the relationship between treatment seeking behaviour, AB use, and likelihood of having a multi-drug resistant (MDR) UTI. The most common treatment pathways for UTI-like symptoms included attending health facilities, rather than other providers (e.g. drug sellers). Patients from the sites sampled in Tanzania and Uganda, where prevalence of MDR UTI was over 50%, were more likely to report treatment failures, and have repeated visits to clinics/other providers, than those from Kenyan sites, where MDR UTI rates were lower (33%). There was no strong or consistent relationship between individual AB use and risk of MDR UTI, after accounting for country context. The results highlight challenges East African patients face in accessing effective UTI treatment. These challenges increase where rates of MDR UTI are higher, suggesting a reinforcing circle of failed treatment attempts and sustained selection for drug resistance. Whilst individual behaviours may contribute to the risk of MDR UTI, our data show that factors related to context are stronger drivers of ABR.

Indexed as

antibacterial resistanceantibiotic usehealthcare useSub-Saharan AfricaUrinary tract infection

Identifiers

PMID36945627
PMCPMC10029025

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.