Hypertension Clinical Trial
Official title:
Personal Mobile and Contextual Precision Health
The exponential growth of physiological, behavioral and environmental data generated through
consumer mobile health (mHealth) devices and Internet of Things (IoT) technology provide
unprecedented sources of personalized and contextual health information. If linked to
clinical health data from the Electronic Health Record (EHR), these data can provide dynamic
and individualized views of patient health states and trajectories that can greatly inform
clinical care and health-related research. The investigators propose to advance precision
health through the development and evaluation of a mobile application and data platform that
collects, harmonizes and integrates mHealth and environmental data from patients' daily lives
with their clinical histories and electronic health record data.
The investigators propose a participatory design approach to implement and evaluate a
precision health platform through the study and modeling of hypertension (HTN) and depression
in patient communities of UC Davis (UCD) and UC San Francisco (UCSF). These chronic diseases
have high prevalence across geography, socioeconomic status, and race/ethnicity, and have
significant economic, societal and personal costs. They are considerably challenging to
manage due to difficulties in acquiring high-quality and consistent data from patients
outside of their clinical care appointments that is so needed for a full view of the
patient's disease state. Despite a broad array of self-monitoring devices and consumer
applications, mHealth data are not getting into the clinical care process, and patients do
not regularly monitor their own health states, particularly during periods of medication
change, when frequent assessments are especially important.
The investigators propose to conduct a 6-month single arm feasibility study of 200 ambulatory
men and women (100 each at UCSF and UCD) with either hypertension or depression to implement
an open, web-accessible, standards driven and patient-centric data platform for the
integration of patient-reported and clinical data.
n/a
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