Disruptive Technological Innovation Through Ambulatory Blood Pressure Monitoring and Telemedicine for Patients with Cardiovascular Risk
Main Article Content
Keywords
Tele-ABPM, Hypertension, Cardiovascular risk, Telemedicine, Telediagnosis, Digital technology, Paraguay
Abstract
Objective: To study the feasibility of using telematics as an innovative method for diagnosing patients with arterial hypertension, using blood pressure curves recorded at regular intervals over 24 hours, obtained by means of an Ambulatory Blood-Pressure Monitoring (ABPM) device and a telemedicine platform.
Methods: Between August 2023 and December 2024, a multicenter descriptive observational feasibility study was conducted based on the 24-hour remote assessment of blood pressure readings—every 30 minutes during the day and every 60 minutes at night—in hypertensive patients who attended public hospitals. The diagnosis of blood pressure curves obtained remotely with ABPM was carried out through a telemedicine platform. Subsequently, a team of cardiologists evaluated the results to determine their feasibility for the diagnosis and management of high blood pressure in remote patients. Blood pressure curves and diagnostic results were sent via a telemedicine platform.
Results: The remote study of 64 patients with high cardiovascular risk was conducted in 10 hospitals nationwide. Most patients were between 50 and 54 years old, followed by the 40 to 44 and 65 to 69 age groups. The mean age was 54.0 years, and 53.4% were male.
Among the patients, 50.0% had hypertension, 40.0% had uncontrolled hypertension, and 10.0% had normal blood pressure. An average of 40% adherence to treatment was determined among patients diagnosed with hypertension.
Conclusions: Our results suggest that it is feasible to use this disruptive technological innovation for the development of a remote, resilient capacity for the diagnosis of patients with high cardiovascular risk through ABPM and a telemedicine platform in public hospitals without cardiology services in Paraguay. In any case, a larger sample size will be required to validate and generalize the study results.
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