Technical Dissonance in Home Blood Pressure Monitoring After Stroke: Having the Machine, but Not Using Correctly.

Rachel FormanCatherine M ViscoliKatherine MeurerKevin N ShethLauren H SansingAdam de HavenonRicha SharmaMelissa MariscalWalter N Kernan

Published in: American journal of hypertension (2023)

Most patients after stroke have an HBPM, but only about 1 in 5 use it correctly. Approximately half of the patients from underrepresented racial or ethnic groups do not have a plan for responding to the values above goal. Our results indicate opportunities to improve the dissemination and correct use of HBPM.

Keyphrases

blood pressure
end stage renal disease
ejection fraction
newly diagnosed
healthcare
prognostic factors
type diabetes
adipose tissue
machine learning
deep learning
skeletal muscle
hypertensive patients
patient reported
blood glucose