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Telemedical Care System for the Treatment of Arterial Hypertension Using Recommendation Algorithms to Support Diagnostic and Therapeutic Decisions

Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Interventional
Study Phase: Not Applicable
SUMMARY

Hypertension is a major global health issue, affecting around 9 million people in Poland. While some studies indicate that telemonitoring benefits patients with hypertension, there is a lack of research evaluating tools that assist doctors in managing these patients. The objective of this study is to assess a blood pressure monitoring system with an integrated algorithm that aids doctors in the decision-making process.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:

• Voluntarily signing an informed consent to participate in the study.

• Age between 18 and 80 years.

• Diagnosis of hypertension according to the Polish Society of Hypertension criteria from 2019, either already treated or newly diagnosed.

• Blood pressure exceeding 140/90 mmHg in office measurements (during the screening visit).

Locations
Other Locations
Poland
Department of Hypertensiology, Angiology and Internal Medicine, Poznan University of Medical Sciences
RECRUITING
Poznan
Contact Information
Primary
Paweł Uruski, MD PhD
puruski@ump.edu.pl
(+48) 618546274
Time Frame
Start Date: 2023-10-01
Estimated Completion Date: 2026-12-31
Participants
Target number of participants: 200
Treatments
No_intervention: Control group
Standard care involving regular visits to a hypertension clinic. Patients in the control group will receive standard care. They will have appointments according to the guidelines of the Polish Society of Hypertension -initially once a month and, after achieving control (i.e., blood pressure in office measurement \< 140/90 mmHg), once every 3 months.
Experimental: Study group
In the intervention group, a care model using a system implementing an algorithm that supports therapeutic and diagnostic decisions made by the doctor in the care of patients with AH will be applied. The algorithm identifies patients who have or have not achieved therapeutic goals and suggests actions for specific patients, but the final therapeutic and diagnostic decisions are always made by the doctor. It is emphasized that the treating physician is not bound by the algorithm's recommendations.
Related Therapeutic Areas
Sponsors
Leads: Poznan University of Medical Sciences

This content was sourced from clinicaltrials.gov