Evidence map›Paper›PMID 41452874›Full record

ArticlePloS one2025

Perceptions and practices on substandard and falsified medicines in humans and animals in Wakiso district, Uganda: A qualitative study.

David Musoke, Grace Biyinzika Lubega, Claire Brandish, Kate Russell-Hobbs, Natasha Hamilton, Jody Winter, Carol Esther Nabbanja, Filimin Niyongabo, Michael Obeng Brown, Elma Rejoice Banyen and 2 more

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

David MusokeDepartment of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.ORCID https://orcid.org/0000-0003-3262-3918
Grace Biyinzika LubegaDepartment of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.
Claire BrandishPharmacy Department, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom.
Kate Russell-HobbsPharmacy Department, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom.
Natasha HamiltonPharmacy Department, Buckinghamshire Healthcare NHS Trust, Aylesbury, United Kingdom.
Jody WinterDepartment of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Carol Esther NabbanjaDepartment of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.
Filimin NiyongaboDepartment of Disease Control and Environmental Health, Makerere University School of Public Health, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5630-6936
Michael Obeng BrownInstitute of Health and Allied Professions, School of Social Sciences, Nottingham Trent University, Nottingham, United Kingdom.
Elma Rejoice BanyenInstitute of Health and Allied Professions, School of Social Sciences, Nottingham Trent University, Nottingham, United Kingdom.ORCID https://orcid.org/0009-0004-8836-0402
Herbert Bush AgumaDepartment of Pharmacy, School of Health Sciences, Makerere University College of Health Sciences, Kampala, Uganda.ORCID https://orcid.org/0000-0002-5919-1484
Linda GibsonInstitute of Health and Allied Professions, School of Social Sciences, Nottingham Trent University, Nottingham, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have taken a broad perspective on substandard and falsified medicines (SFMs) in community settings in Uganda. We therefore qualitatively assessed the perceptions and practices on SFMs for humans and animals in Wakiso District, Uganda.

methodsThis qualitative study employed 12 focus group discussions among community health workers and farmers, as well as 11 key informant interviews among health professionals, local leaders, veterinary and human drug shop operators, and Ministry of Health and Ministry of Agriculture, Animal Industry and Fisheries officials. Data was analysed thematically using NVivo (2020).

resultsFindings are presented under four themes: definition of SFMs; identification of SFMs; drivers of SFMs; and challenges in reporting SFMs. Although participants felt that the term SFMs was too broad to define, many explained it in relation to consequences (such as side effects, disabilities, and death), and the different methods that may be employed to identify SFMs. SFMs were said to be identified through changes in appearance such as colour, texture and packaging. However, the most reported way of identifying SFMs was based on negative effects on humans and animals after use. Customer drivers of SFMs included inadequate knowledge, lack of finances, and lack of access to licensed drug shops/ pharmacies. Supplier drivers of SFMs included limited regulation and enforcement, and the business orientation of drug shops/ pharmacies. Lack of knowledge of how to report suspected cases of SFMs, lack of proof of purchase of SFMs, fear of reporting, and lack of trust in government procedures were the challenges identified to reporting SFMs.

conclusionSeveral drivers of SFMs in the community were established related to individuals, sources of medicine, and regulatory frameworks. Increased awareness on SFMs, improved traceability of purchases and reporting, and better enforcement of regulations are needed to reduce the use and risks associated with SFMs to protect public health.

Indexed as

Counterfeit DrugsHealth Knowledge, Attitudes, PracticeAdultAnimalsFemaleFocus GroupsHumansMaleMiddle AgedPerceptionQualitative ResearchUgandaCounterfeit Drugs

Identifiers

PMID41452874
PMCPMC12742756

What OpenQuestion holds

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LicenceCC BY
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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.