Evidence map›Paper›PMID 36626413›Full record

ArticleMedicine2022

Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa.

Mahamadou Barro, Aristide Relwendé Yaméogo, Robert Darlin Mba, Rémi Kaboré, Germain Mandi, Désiré Lucien Dahourou, Patrice Zabsonré, Nicolas Méda, Juste Goungounga

Abstract read
In one paragraph

Article in Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

9 authors.

Mahamadou BarroInstitut de Recherche en Sciences de la Santé, Département de Biomédical/Santé Publique, Ouagadougou, Burkina Faso.ORCID 0000-0002-7771-8235
Aristide Relwendé YaméogoIDEES Le Havre, UMR CNRS 6266, Université du Havre, Normandie Université, Le Havre, France.
Robert Darlin MbaAix Marseille Univ, INSERM, IRD, SESSTIM Sciences Économiques & Sociales de la Santé & Traitement de l'Information Médicale, Marseille, France.
Rémi Kaboré, Bordeaux School of public health/Université de Bordeaux, Bordeaux, France.
Germain MandiService de cardiologie, Centre Hospitalier Universitaire Yalgado Ouédraogo, Ouagadougou, Burkina Faso.
Désiré Lucien DahourouInstitut de Recherche en Sciences de la Santé, Département de Biomédical/Santé Publique, Ouagadougou, Burkina Faso.
Patrice ZabsonréService de cardiologie, Centre Hospitalier Universitaire Yalgado Ouédraogo, Ouagadougou, Burkina Faso.
Nicolas MédaUFR-SDS, Département de la Santé Publique; Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso.
Juste GoungoungaDigestive Cancer Registry of Burgundy, Dijon University Hospital, Dijon, France; Unit 1231 Epidemiology and Clinical Research in Digestive Cancers, National Institute of Health and Medical Research, University of Burgundy-Franche Comte, Dijon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The proportion of poorly controlled hypertensives still remains high in the general African population. This is largely due to therapeutic inertia (TI), defined as the failure to intensify or modify treatment in a patient with poorly controlled blood pressure (BP). The objective of this study was to identify the determinants of TI. We conducted a retrospective cohort study from March 2012 to February 2014 of hypertensive patients followed during 4 medical visits. The TI score was the number of visits with TI divided by the number of visits where a therapeutic change was indicated. A random-effects logistic model was used to identify the determinants of TI. A total of 200 subjects were included, with a mean age of 57.98 years and 67% men. The TI score was measured at 85.57% (confidence interval [CI] 95% = [82.41-88.92]). Measured individual heterogeneity was significantly significant (0.78). Three factors were associated with treatment inertia, namely the number of antihypertensive drugs (odd ratios [OR] = 1.27; CI = [1.02-1.58]), the time between consultations (OR = 0.94; CI = [0.91-0.97]), and treatment noncompliance (OR = 15.18; CI = [3.13-73.70]). The random-effects model performed better in predicting high-risk patients with TI than the classical logistic model (P value < .001). Our study showed a high TI score in patients followed in cardiology in Burkina Faso. Reduction of the TI score through targeted interventions is necessary to better control hypertension in our cohort patients.

Indexed as

HypertensionAfrica, WesternAntihypertensive AgentsBlood PressureFemaleHumansMaleMiddle AgedRegistriesRetrospective StudiesAntihypertensive Agents

Identifiers

PMID36626413
PMCPMC9750605

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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.