Publications by authors named "Robert Mba"
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.
Background: Methods for estimating relative survival are widely used in population-based cancer survival studies. These methods are based on splitting the observed (the overall) mortality into excess mortality (due to cancer) and background mortality (due to other causes, as expected in the general population). The latter is derived from life tables usually stratified by age, sex, and calendar year but not by other covariates (such as the deprivation level or the socioeconomic status) which may lack though they would influence background mortality.
View Article and Find Full Text PDFQuantile regressions are increasingly used to provide population norms for quantitative variables. Indeed, they do not require any Gaussian assumption for the response and allow to characterize its entire distribution through different quantiles. Quantile regressions are especially useful to provide norms of cognitive scores in the elderly that may help general practitioners to identify subjects with unexpectedly low cognitive level in routine examinations.
View Article and Find Full Text PDFBackground: This trial aims at testing the efficacy of weekly reminder and motivational text messages, compared to usual care in improving adherence to Highly Active Antiretroviral Treatment in patients attending a clinic in Yaoundé, Cameroon.
Methods And Design: This is a single-centered randomized controlled single-blinded trial. A central computer generated randomization list will be generated using random block sizes.