Speakers
Mark J. Pletcher, MD, MPH
Professor of Epidemiology and Biostatistics and Medicine
University of California, San Francisco
Rhonda Cooper-DeHoff, PharmD, MS, FAHA, FACC, FCCP
Association Professor and Research Foundation Professor
University of Florida College of Pharmacy
Alanna M. Chamberlain, PhD, MPH
Associate Professor of Epidemiology
Mayo Clinic
Keywords
Blood pressure; PCORnet; Common data model; BP MAP; BP Track; BP Home; COVID-19
Key Points
- Uncontrolled blood pressure (BP) is the leading preventable cause of death in the US, but treatment methods and monitoring metrics are not consistent or clear across patients and healthcare systems.
- PCORnet is made up of many health systems across the country. Varying types of electronic health record (EHR) data from these health systems are combined into a common data model.
- The BP Control Laboratory, funded by PCORnet, used surveillance and efficient pragmatic randomized controlled trials to improve BP control in the US. Three projects were funded: BP Track, BP MAP, and BP Home.
- BP Track leveraged the PCORnet common data model to create 10 blood pressure control metrics.
- BP levels in the BP Tack study were fairly stable and controlled from 2017 to 2019, prior to the COVID-19 pandemic.
- BP Track saw a substantial decrease in BP control during the COVID-19 pandemic that has not rebounded to pre-pandemic levels.
Discussion Themes
– The next iteration of the BP Track study hopes to collect data at the individual patient level in order to do individual risk modelling.
– The decrease in BP control during the pandemic may have future implications for increased cardiovascular disease.
Read more about the results from the BP Track study.
Tags
#pctGR, @Collaboratory1