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A chronic disease management model of care (Empower Health) was launched in rural and urban areas of Ghana and Kenya in 2018. The goal was to improve disease awareness, reduce the burden of disease, and improve the clinical effectiveness and efficiency of managing hypertension. Leveraging the model, clinicians provide patients with tailored management plans. Patients accessed regular blood pressure checks at home, at the clinic, or at community-partner locations where they received real-time feedback. On the mobile application, clinicians viewed patient data, provided direct patient feedback, and wrote electronic prescriptions accessible through participating pharmacies. To date, 1266 patients had been enrolled in the "real-world" implementation cohort and followed for an average of 351 ± 133 days across 5 facilities. Average baseline systolic blood pressure (SBP) was 145 ± 21 mmHg in the overall cohort and 159 ± 16 mmHg in the subgroup with uncontrolled hypertension (n = 743) as defined by baseline SBP ≥ 140 mmHg. SBP decreased significantly through 12 months in both the overall cohort (-9.4 mmHg, p .001) and in the uncontrolled subgroup (-17.6 mmHg, p .001). The proportion patients with controlled pressure increased from 46% at baseline to 77% at 12 months (p .001). In summary, a new chronic disease management model of care improved and sustained blood pressure control to 12 months, especially in those with elevated blood pressure at enrollment.

Introduction: Systemic hypertension is a rapidly growing epidemic in Sub-Saharan Africa. Adequacy of blood pressure(BP) control and the factors influencing it, especially the role of socio-economic status(SES) have not been well studied in this part of the world. Hypothesis: We therefore aimed to quantify the association of SES both at the individual and at the country level with BP control in Sub-Saharan Africa. Methods: We conducted a cross-sectional survey in urban clinics of twelve countries, both low-income and middle-income, in Sub-Saharan Africa. Data were collected on demographics, treatment and standardized BP measures were made among the hypertensive patients attending the clinics. BP control was defined as BP Results: A total of 2198 hypertensive patients (58.4±11.8years; 39.9% male) were included, of whom 1017(46.3%) were from low-income and 1181(53.7%) from middle-income countries. Individual wealth level was low, mid and high in 376(17.6%), 1053(49.2%) and 713(33.3%) patients respectively. Uncontrolled hypertension was present in 1692 patients(77.4%) including 1044(47.7%) with ≥grade 2 hypertension. The proportion of uncontrolled hypertension progressively increased with decreasing level of patient individual wealth, respectively 72.8%, 79.3% and 81.8%(p for trend Conclusions: Low individual wealth was significantly associated with poor hypertension control, especially in low-income countries. Strategies for hypertension control in Sub-Saharan Africa should especially focus on people in the lowest individual wealth groups who also reside in low-income countries.

Systemic hypertension is a rapidly growing epidemic in Africa. The role of socioeconomic status on blood pressure control has not been well studied in this part of the world. We, therefore, aimed to quantify the association of socioeconomic status both at the individual and at the country level with blood pressure control in Sub-Saharan Africa. We conducted a cross-sectional survey in urban clinics of 12 countries, both low income and middle income, in Sub-Saharan Africa. Standardized blood pressure measures were made among the hypertensive patients attending the clinics. Blood pressure control was defined as blood pressure P for trend, P for trend, 0.03) and not in middle-income countries ( P for trend, 0.26). In low-income countries, the odds of uncontrolled hypertension increased 1.37-fold (odds ratio, 1.37 [0.99–1.90]) and 1.88-fold (odds ratio, 1.88 [1.10–3.21]) in patients with middle and low individual wealth as compared with high individual wealth. Similarly, the grade of hypertension increased progressively with decreasing level of individual patient wealth ( P for trend