ABPM: Holistic Blood Pressure Data and the Patient Experience - Part 2 - a podcast by ERT

from 2019-09-10T03:55:04

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Patricia Castellano and Emily Olsson explore how sites can benefit from developing a stronger relationship with their ABPM device vendors. They also address strategies for successful repeat ABPM sessions when a patient is non-compliant, and how ABPM achieves a type of holistic data not possible with other BP measurement methods.


Introduction [00:37]

Patricia Castellano, Senior Director of Product Management at ERT, is joined by Emily Olsson, CCRP, from the University of North Carolina Chapel Hill for an in-depth look at the keys to implementing a successful ABPM protocol in a cardiac safety trial.


Improving ABPM through Better Site/Vendor Relationships [04:10]

Sites that don’t have much experience with ABPM shouldn’t hesitate to reach out to device manufacturers to ask for training or assistance when needed. Other external teams and experts may also be willing to provide ABPM insights. Vendors who can provide customizable software with easy-to-read outputs are ideal.


Achieving Successful ABPM Repeat Sessions [07:37]

If a patient is non-compliant or produces unusable data, a repeat ABPM session may need to be scheduled. Discuss the outcome of the original session with the patient and identify how the experience can be improved. Proactively manage the expectations of individuals in patient groups that may experience repeat inflations – such as elderly or obese patients – and provide them with tips and tricks that can help improve their comfort and compliance.


Using Home Blood Pressure Monitoring (HBPM) Instead of ABPM Comparing Compliance with ABPM to Other Blood Pressure Monitoring Methods [12:01]

Home blood pressure monitoring provides more comprehensive blood pressure data than a single measurement in the clinic. However, patients are typically not well-educated on how to use a home blood pressure device and may fall out of compliance over the duration of the collection period. This results in data that isn’t a true reflection of their blood pressure.

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