Effective control of hypertension at the population level is a global public health challenge. This study shows how improving population coverages at different hypertension care cascade levels could impact population-level hypertension management. We developed an analytical framework and a companion Excel model of multi-level hypertension care cascade entailing awareness, treatment, and control. The model estimates the prevalence of uncontrolled hypertension for different level of population coverages at certain cascade levels. We applied the model to data from Bangladesh and reported prevalence estimates associated with coverage interventions at different cascade levels. The model estimated that if 50% of the unaware hypertensive patients became aware of their hypertensive condition, the prevalence of uncontrolled hypertension would decrease by 1.8 and 1.3 percentage points (8.2% and 5.8% relative reduction), respectively, for constant and variable rates in the status quo setting. When 50% of the aware, but untreated individuals received treatment, the prevalence would decrease by around 0.7 percentage points (3.3% relative reduction). A 50% decrease in the share of treated individuals who did not have hypertension under control, would result in decreasing the prevalence by 2.8 percentage points (12.7% relative reduction). By providing an analytical tool that demonstrates the probable impact of population coverage interventions at certain hypertension care cascade levels, our study endows public health practitioners with vital information to identify gaps and design effective policies for hypertension management.
ASJC Scopus subject areas
- Internal Medicine