Evidence map›Paper›PMID 31291293›Full record

ArticlePloS one2019

Factors associated with poor adherence to medication among hypertensive patients in twelve low and middle income Sub-Saharan countries.

Diane Macquart de Terline, Adama Kane, Kouadio Euloge Kramoh, Ibrahim Ali Toure, Jean Bruno Mipinda, Ibrahima Bara Diop, Carol Nhavoto, Dadhi M Balde, Beatriz Ferreira, Martin Dèdonougbo Houenassi and 15 more

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 3 pooled it
–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

69 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  15. Adherence to hypertension management at a rural hospital in Limpopo: A cross-sectional study.South African family practice : official journal of the South African Academy of Family Practice/Primary Care · 2025
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9 more citing papers are in PubMed but not listed here.

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

25 authors.

Diane Macquart de TerlineDepartment of Pharmacy, Saint Antoine hospital, HUEP, AP-HP, Paris, France.ORCID 0000-0003-4272-1597
Adama KaneCardiology Department, University Hospital of Aristide Le Dantec, Dakar, Senegal.
Kouadio Euloge KramohInstitute of Cardiology of Abidjan, Abidjan, Côte d'Ivoire.
Ibrahim Ali ToureInternal Medicine and Cardiology Department, University Hospital of Lamorde, Niamey, Niger.
Jean Bruno MipindaUniversity hospital of Libreville, Libreville, Gabon.
Ibrahima Bara DiopCardiology Department, University Hospital of Fann, Dakar, Senegal.
Carol NhavotoInstituto do Coração (ICOR), Maputo, Mozambique.
Dadhi M BaldeDepartment of Cardiology, University Hospital of Conakry, Conakry, Guinea.
Beatriz FerreiraInstituto do Coração (ICOR), Maputo, Mozambique.
Martin Dèdonougbo HouenassiNational University hospital of Hubert K. MAGA (CNHU-HKM), Cotonou, Bénin.
Méo Stéphane IkamaCardiology Department, National University Hospital of Brazzaville, Marien NGOUABI University, Brazzaville, Congo.
Samuel KingueUniversity of Yaoundé, Ministry of Public Health, Yaoundé, Cameroon.
Charles Kouam KouamInternal Medicine Department, Régional Hospital, Bafoussam, Cameroon.
Jean Laurent TakombeGeneral Hospital of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Emmanuel LimboleDepartment of Internal Medicine of la Gombe (CMCG), Department of Internal Medicine, Ngaliema Hospital, Kinshasa; Democratic Republic of the Congo.
Liliane Mfeukeu KuateCentral Hospital of Yaoundé, Yaoundé; Cameroon.
Roland N'guettaInstitute of Cardiology of Abidjan, Abidjan, Côte d'Ivoire.
Jean Marc DamorouCardiology department, CH Lomé, Lomé; Togo.
Zouwera SessoCardiology department, CH Lomé, Lomé; Togo.
Abdallahi Sidy AliCardiology clinics, Nouakchott, Mauritania.
Marie-Cécile PerierParis Cardiovascular Research Centre, INSERM U970, European Georges Pompidou Hospital, Paris, France.
Michel AziziParis Descartes University, Paris, France.
Jean Philippe EmpanaParis Cardiovascular Research Centre, INSERM U970, European Georges Pompidou Hospital, Paris, France.
Xavier JouvenParis Cardiovascular Research Centre, INSERM U970, European Georges Pompidou Hospital, Paris, France.
Marie AntignacDepartment of Pharmacy, Saint Antoine hospital, HUEP, AP-HP, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionOver the past few decades, the prevalence of hypertension has dramatically increased in Sub-Saharan Africa. Poor adherence has been identified as a major cause of failure to control hypertension. Scarce data are available in Africa.

aimsWe assessed adherence to medication and identified socioeconomics, clinical and treatment factors associated with low adherence among hypertensive patients in 12 sub-Saharan African countries.

methodWe conducted a cross-sectional survey in urban clinics of both low and middle income countries. Data were collected by physicians on demographics, treatment and clinical data among hypertensive patients attending the clinics. Adherence was assessed by questionnaires completed by the patients. Factors associated with low adherence were investigated using logistic regression with a random effect on countries.

resultsThere were 2198 individuals from 12 countries enrolled in the study. Overall, 678 (30.8%), 738 (33.6%), 782 (35.6%) participants had respectively low, medium and high adherence to antihypertensive medication. Multivariate analysis showed that the use of traditional medicine (OR: 2.28, 95%CI [1.79-2.90]) and individual wealth index (low vs. high wealth: OR: 1.86, 95%CI [1.35-2.56] and middle vs. high wealth: OR: 1.42, 95%CI [1.11-1.81]) were significantly and independently associated with poor adherence to medication. In stratified analysis, these differences in adherence to medication according to individual wealth index were observed in low-income countries (p<0.001) but not in middle-income countries (p = 0.17). In addition, 26.5% of the patients admitted having stopped their treatment due to financial reasons and this proportion was 4 fold higher in the lowest than highest wealth group (47.8% vs 11.4%) (p<0.001).

conclusionThis study revealed the high frequency of poor adherence in African patients and the associated factors. These findings should be useful for tailoring future programs to tackle hypertension in low income countries that are better adapted to patients, with a potential associated enhancement of their effectiveness.

Indexed as

Medication AdherenceAdultAfrica South of the SaharaAgedAged, 80 and overAntihypertensive AgentsCalcium ChannelsCross-Sectional StudiesDeveloping CountriesFemaleHumansHypertensionIncomeMaleMiddle AgedPovertyAntihypertensive AgentsCalcium Channels

Identifiers

PMID31291293
PMCPMC6619761

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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.