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Clinical Landscape of Epidemiology and Assessment of Results in Hypertension
This is a retrospective observational cohort study based on secondary use of routinely collected electronic health data. The design was selected to enable population-level characterisation of treatment patterns and clinical inertia (both diagnostic and therapeutic) in the management of hypertension across diverse settings in Brazil's public primary care system (SUS).
This is a retrospective observational cohort study based on secondary use of routinely collected electronic health data. The design was selected to enable population-level characterisation of treatment patterns and clinical inertia (both diagnostic and therapeutic) in the management of hypertension across diverse settings in Brazil's public primary care system (SUS). The retrospective cohort design allows for efficient use of existing clinical data to evaluate real-world practice against national guideline recommendations. The primary outcomes relate to treatment decisions and delays rather than interventional effects; therefore, an observational design is methodologically appropriate and ethically preferable. The study will be conducted across 05 Brazilian municipalities participating in the epHealth Primary Care Solutions platform. These municipalities span multiple regions and reflect heterogeneity in socio-demographic context, healthcare infrastructure, and epidemiological profiles.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Start Date
December 31, 2025
Primary Completion Date
July 31, 2026
Completion Date
July 31, 2026
Last Updated
January 23, 2026
15,000
ESTIMATED participants
AstraZeneca Clinical Study Information Center
CONTACT
1-877-240-9479information.center@astrazeneca.comLead Sponsor
AstraZeneca
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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