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

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

Medicine (Baltimore)

Digestive 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.

Published: December 2022

AI Article Synopsis

  • The study investigates the issue of therapeutic inertia (TI) in poorly controlled hypertensive patients within the general African population, particularly in Burkina Faso, highlighting a TI score of 85.57%.
  • Key factors contributing to TI include the number of antihypertensive drugs prescribed, the time interval between medical visits, and patient noncompliance with treatment.
  • Using a random-effects logistic model, the research emphasizes the need for targeted interventions to reduce TI and improve blood pressure management in hypertensive patients.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9750605PMC
http://dx.doi.org/10.1097/MD.0000000000031147DOI Listing

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