Evidence map›Paper›PMID 26427798›Full record

ArticleBMC research notes2015

Predictors of non-adherence to antihypertensive medication in Kinshasa, Democratic Republic of Congo: a cross-sectional study.

Aimée M Lulebo, Paulin B Mutombo, Mala A Mapatano, Eric M Mafuta, Patrick K Kayembe, Lisa T Ntumba, Alain N Mayindu, Yves Coppieters

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 3 pooled it
4.7field-weighted citation impact, top 5% 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

33 citing papers in PubMed, 3 syntheses or guidelines pooled it, 72 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

8 authors at 3 institutions in 3 countries.

Aimée M LuleboDepartment of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, DR Congo. aimelulebo@yahoo.fr.
Paulin B MutomboDepartment of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, DR Congo. paulinmutombo2004@yahoo.fr.
Mala A MapatanoDepartment of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, DR Congo. mapatanow@espkinshasa.net.
Eric M MafutaDepartment of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, DR Congo. ericmafuta2@gmail.com.
Patrick K KayembeDepartment of Epidemiology and Bio-statistics, Faculty of Medicine, Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, DR Congo. patkayembe@yahoo.fr.
Lisa T NtumbaProgramme National Multisectoriel de Lutte contre le VIH, Ministère de la Santé, Kinshasa, DR Congo. ntshisau@yahoo.fr.
Alain N MayinduDepartment of Epidemiology, Bio-statistics and Occupational Health, Mc Gill University, Montreal, QC, Canada. doc_mayindu@yahoo.fr.
Yves CoppietersEcole de Santé Publique, Université libre de Bruxelles, Brussels, Belgium. yves.coppieters@ulb.ac.be.
University of Kinshasa · CDMcGill University · CAUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension remains a public health challenge worldwide. In the Democratic Republic of Congo, its prevalence has increased in the past three decades. Higher prevalence of poor blood pressure control and an increasing number of reported cases of complications due to hypertension have also been observed. It is well established that non-adherence to antihypertensive medication contributes to poor control of blood pressure. The aim of this study is to measure non-adherence to antihypertensive medication and to identify its predictors.

methodsA cross-sectional study was conducted at Kinshasa Primary Health-care network facilities from October to November 2013. A total of 395 hypertensive patients were included in the study. A structured interview was used to collect data. Adherence to medication was assessed using the Morisky Medication Scale. Covariates were defined according to the framework of the World Health Organization. Logistic regression was used to identify predictors of non-adherence.

resultsA total of 395 patients participated in this study. The prevalence of non-adherence to antihypertensive medication and blood pressure control was 54.2 % (95 % CI 47.3-61.8) and 15.6 % (95 % CI 12.1-20.0), respectively. Poor knowledge of complications of hypertension (OR = 2.4; 95 % CI 1.4-4.4), unavailability of antihypertensive drugs in the healthcare facilities (OR = 2.8; 95 % CI 1.4-5.5), lack of hypertensive patients education in the healthcare facilities (OR = 1.7; 95 % CI 1.1-2.7), prior experience of medication side effects (OR = 2.2; 95 % CI 1.4-3.3), uncontrolled blood pressure (OR = 2.0; 95 % CI 1.1-3.9), and taking non-prescribed medications (OR = 2.2; 95 % CI 1.2-3.8) were associated with non-adherence to antihypertensive medication.

conclusionThis study identified predictors of non-adherence to antihypertensive medication. All predictors identified were modifiable. Interventional studies targeting these predictors for improving adherence are needed.

Indexed as

Medication AdherenceAntihypertensive AgentsCross-Sectional StudiesCultureDemocratic Republic of the CongoFemaleHealth Knowledge, Attitudes, PracticeHumansHypertensionMaleMiddle AgedMultivariate AnalysisSocioeconomic FactorsAntihypertensive Agents

Identifiers

PMID26427798
PMCPMC4591704
OpenAlexW2132794186

What OpenQuestion holds

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LicenceCC BY
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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.