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

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...

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Autores principales: Barro, Mahamadou, Yaméogo, Aristide Relwendé, Mba, Robert Darlin, Kaboré, Rémi, Mandi, Germain, Dahourou, Désiré Lucien, Zabsonré, Patrice, Méda, Nicolas, Goungounga, Juste
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750605/
https://www.ncbi.nlm.nih.gov/pubmed/36626413
http://dx.doi.org/10.1097/MD.0000000000031147
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author Barro, Mahamadou
Yaméogo, Aristide Relwendé
Mba, Robert Darlin
Kaboré, Rémi
Mandi, Germain
Dahourou, Désiré Lucien
Zabsonré, Patrice
Méda, Nicolas
Goungounga, Juste
author_facet Barro, Mahamadou
Yaméogo, Aristide Relwendé
Mba, Robert Darlin
Kaboré, Rémi
Mandi, Germain
Dahourou, Désiré Lucien
Zabsonré, Patrice
Méda, Nicolas
Goungounga, Juste
author_sort Barro, Mahamadou
collection PubMed
description 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.
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spelling pubmed-97506052022-12-28 Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa Barro, Mahamadou Yaméogo, Aristide Relwendé Mba, Robert Darlin Kaboré, Rémi Mandi, Germain Dahourou, Désiré Lucien Zabsonré, Patrice Méda, Nicolas Goungounga, Juste Medicine (Baltimore) 4400 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. Lippincott Williams & Wilkins 2022-12-09 /pmc/articles/PMC9750605/ /pubmed/36626413 http://dx.doi.org/10.1097/MD.0000000000031147 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 4400
Barro, Mahamadou
Yaméogo, Aristide Relwendé
Mba, Robert Darlin
Kaboré, Rémi
Mandi, Germain
Dahourou, Désiré Lucien
Zabsonré, Patrice
Méda, Nicolas
Goungounga, Juste
Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title_full Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title_fullStr Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title_full_unstemmed Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title_short Modelling factors associated with therapeutic inertia in hypertensive patients: Analysis using repeated data from a hospital registry in West Africa
title_sort modelling factors associated with therapeutic inertia in hypertensive patients: analysis using repeated data from a hospital registry in west africa
topic 4400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750605/
https://www.ncbi.nlm.nih.gov/pubmed/36626413
http://dx.doi.org/10.1097/MD.0000000000031147
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