Berekum

Researchers are evaluating the ADHINCRA Program, a package of evidence-based interventions aimed at improving the control of hypertension among adults aged 18 to 70 in Africa. The program targets factors related to patients, healthcare providers, and health systems to help reduce risks of cardiovascular disease, stroke, and kidney disease. This interventional study is sponsored by Johns Hopkins University and focuses on managing high blood pressure using a nurse-led approach. The ADHINCRA Program includes home blood pressure monitoring, a mobile health application, nurse-led lifestyle counseling, and treatment using a simplified hypertension control protocol. Participants are divided into four cohorts starting the program at staggered intervals immediately, and 3, 6, and 9 months thereafter. All cohorts receive the same intervention to assess its effectiveness and implementation over time. Participants will be monitored for blood pressure control at baseline and at 12 and 24 months after starting the program. Assessments include systolic and diastolic blood pressure measurements, medication adherence via the Hill-Bone Medication Adherence Scale, and evaluation of how well the program is adopted and maintained at clinical sites. Researchers will also compare the cost of this intervention to usual care. The study is planned to end in September 2028, with ongoing safety and adherence monitoring throughout.

This research aims to find out if wearable sensors can help detect early signs of health problems after major surgery. The study focuses on surgical patients who might become critically ill after their operations. It evaluates if continuous monitoring of vital signs like heart rate and oxygen levels using wearable devices can identify patient deterioration sooner than standard care. The study is observational and involves multiple countries including Benin, Ghana, Guatemala, India, Mexico, Nigeria, Rwanda, and the United Kingdom. Participants will wear wireless sensors on their chest and fingers before, during, and after surgery for up to 10 days. These sensors record vital signs continuously but do not affect patient care, as clinical teams will not access the data during the study. The first two stages of the study involved testing device usability with healthcare workers, while this third stage collects real-time sensor and clinical event data to explore links between physiological changes and patient complications. During the study, participants will have their vital signs monitored with wearable devices while also receiving standard clinical observations. Researchers will collect cardiovascular, respiratory, and temperature data alongside routine care information and clinical events. They will follow patients for 10 days of monitoring plus an additional 30-day follow-up to observe complications. The goal is to gather data to help design future algorithms for early detection of postoperative problems without changing current treatment practices.