Evidence map›Paper›PMID 34140783›Full record

ArticleInfection and drug resistance2021

Antibiotic Practices, Perceptions and Self-Medication Among Patients at a National Referral Hospital in Uganda.

Irene Nabaweesi, Ronald Olum, Arthur Brian Sekite, Willy Tumwesigye Suubi, Prossy Nakiwunga, Aron Machali, Richard Kiyumba, Peter Kalyango, Allen Natamba, Yokosofati Igumba and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
2.2field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 30 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Irene Nabaweesi *School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Ronald Olum *School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0003-1289-0111
Arthur Brian Sekite *School of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Willy Tumwesigye SuubiSchool of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Prossy NakiwungaSchool of Health Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Aron MachaliSchool of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Richard KiyumbaSchool of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Peter KalyangoSchool of Health Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Allen NatambaSchool of Biomedical Sciences, Makerere University College of Health Sciences, Kampala, Uganda.
Yokosofati IgumbaSchool of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Martin KyeyuneSchool of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.
Harriet MpairweMRC/UVRI and LSHTM Uganda Research Unit, Entebbe, Uganda.
Eric KatagiryaDepartment of Immunology and Molecular Biology, Makerere University College of Health Sciences, Kampala, Uganda.
Makerere University · UGUganda Virus Research Institute · UG

Funding

Health Professions Education and training for strengthening the health system and services in UgandaR25TW011213 · FIC · MAKERERE UNIVERSITY COLLEGE OF HEALTH SCIENCES · PI KIGULI, SARAH · 2018 to 2022
$3.4M
FIC NIH HHS R25 TW011213
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a major global health concern with increasing reports of microorganisms resistant to most of the available antibiotics. There are limited data on antibiotic practices, perceptions and self-medication among Ugandans, necessitating this study.

methodsA cross-sectional study was conducted among patients at Kiruddu National Referral Hospital, Kampala, Uganda. A pre-tested interviewer administered a questionnaire that was used to collect data after an informed consent. Chi-square tests and logistic regression were used to assess associations between outcome and exposure variables. A P<0.05 was statistically significant.

resultsA total of 279 patients (response rate=71%) with a median age of 32 years participated in the study. The majority were females (55.6%, n=155) and from the outpatient department (74.9%, n=209). Overall, 212 (76%) participants had taken an antibiotic in the past 6 months, and some 22.2% (n=47) of the participants had practiced self-medication. Male participants (adjusted odds ratio (aOR)=2.13, 95% confidence intervals (CI): 1.01 to 4.50, P=0.046) and Muslims (aOR=4.37, 96% CI:1.54 to 12.44, P=0.006) were more likely to self-medicate. Employees (aOR=0.06, 95% CI:0.01 to 0.51, P=0.010) and patients with tertiary education (aOR=0.14, 95% CI: 0.02 to 0.81, P=0.028) were less likely to practice self-medication. About 33% (n=70) of the participants had not completed treatment dosage during their last course of antibiotic treatment because of feeling better (60%, n=42), lack of money to purchase the medication (15.7%, n=11) and side effects (10%, n=7). Whereas 169 participants (79.7%) believed that not completing treatment would have an impact on their personal health, only 96 participants (45.3%) believed that this behaviour could affect the health of others.

conclusionAntibiotic misuse is significant among patients in Uganda. Continuous health education programs aimed at informing the public on antimicrobial resistance, and its dangers are recommended to curtail this challenge.

Indexed as

antibiotic misuseantimicrobial resistancepatientsself-prescriptionUganda

Identifiers

PMID34140783
PMCPMC8203198
OpenAlexW3169692029

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.