Evidence map›Paper›PMID 24587264›Full record

ArticlePloS one2014

Correlates of inappropriate prescribing of antibiotics to patients with malaria in Uganda.

Arianna Rubin Means, Marcia R Weaver, Sarah M Burnett, Martin K Mbonye, Sarah Naikoba, R Scott McClelland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  3. Perspective on the Integration of Diagnostic Algorithms for Fever Management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
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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

6 authors at 4 institutions in 3 countries.

Arianna Rubin MeansDepartment of Global Health, University of Washington, Seattle, Washington, United States of America ; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America.
Marcia R WeaverDepartment of Global Health, University of Washington, Seattle, Washington, United States of America.
Sarah M BurnettAccordia Global Health Foundation, Washington DC, United States of America ; Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.
Martin K MbonyeInfectious Diseases Institute, Makerere College of Health Sciences, Kampala, Uganda ; Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.
Sarah NaikobaInfectious Diseases Institute, Makerere College of Health Sciences, Kampala, Uganda ; Department of Epidemiology and Social Medicine, University of Antwerp, Antwerp, Belgium.
R Scott McClellandDepartment of Global Health, University of Washington, Seattle, Washington, United States of America ; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America ; Department of Medicine, University of Washington, Seattle, Washington, United States of America.
University of Washington · USAccordia Global Health Foundation · USInfectious Diseases Institute · UGUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn many rural areas of Uganda, febrile patients presenting to health facilities are prescribed both antimalarials and antibiotics, contributing to the overuse of antibiotics. We identified the prevalence and correlates of inappropriate antibiotic management of patients with confirmed malaria.

methodsWe utilized individual outpatient data from 36 health centers from January to September 2011. We identified patients who were prescribed antibiotics without an appropriate clinical indication, as well as patients who were not prescribed antibiotics when treatment was clinically indicated. Multivariate logistic regression models were used to identify clinical and operational factors associated with inappropriate case management.

findingsOf the 45,591 patients with parasitological diagnosis of malaria, 40,870 (90%) did not have a clinical indication for antibiotic treatment. Within this group, 17,152 (42%) were inappropriately prescribed antibiotics. The odds of inappropriate prescribing were higher if the patient was less than five years old (aOR 1.96, 95% CI 1.75-2.19) and if the health provider had the fewest years of training (aOR 1.86, 95% CI 1.05-3.29). The odds of inappropriate prescribing were lower if patients had emergency triage status (aOR 0.75, 95% CI 0.59-0.96) or were HIV positive (aOR 0.31, 95% CI 0.20-0.45). Of the 4,721 (10%) patients with clinical indications for antibiotic treatment, 521 (11%) were inappropriately not prescribed antibiotics. Clinical officers were less likely than medical officers to inappropriately withhold antibiotics (aOR 0.54, 95% CI 0.29-0.98).

conclusionOver 40% of the antibiotic treatment in malaria positive patients is prescribed despite a lack of documented clinical indication. In addition, over 10% of patients with malaria and a clinical indication for antibiotics do not receive them. These findings should inform facility-level trainings and interventions to optimize patient care and slow trends of rising antibiotic resistance.

Indexed as

AdolescentAdultAnti-Bacterial AgentsAntimalarialsBacterial InfectionsChildChild, PreschoolFemaleHumansInappropriate PrescribingMalariaMalePractice Patterns, Physicians'UgandaAnti-Bacterial AgentsAntimalarials

Identifiers

PMID24587264
PMCPMC3938663
OpenAlexW1998859488

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.