title: BPcontrol. A Mobile App to Monitor Hypertensive Patients.
abstract: Hypertension or high blood pressure is on the rise. Not only does it affect the elderly but is also increasingly spreading to younger sectors of the population. Treating this condition involves exhaustive monitoring of patients. The current mobile health services can be improved to perform this task more effectively.
  
  
  
  To develop a useful, user-friendly, robust and efficient app, to monitor hypertensive patients and adapted to the particular requirements of hypertension.
  
  
  
  This work presents BPcontrol, an Android and iOS app that allows hypertensive patients to communicate with their health-care centers, thus facilitating monitoring and diagnosis. Usability, robustness and efficiency factors for BPcontrol were evaluated for different devices and operating systems (Android, iOS and system-aware). Furthermore, its features were compared with other similar apps in the literature.
  
  
  
  BPcontrol is robust and user-friendly. The respective start-up efficiency of the Android and iOS versions of BPcontrol were 2.4 and 8.8 times faster than a system-aware app. Similar values were obtained for the communication efficiency (7.25 and 11.75 times faster for the Android and iOS respectively). When comparing plotting performance, BPcontrol was on average 2.25 times faster in the Android case. Most of the apps in the literature have no communication with a server, thus making it impossible to compare their performance with BPcontrol.
  
  
  
  Its optimal design and the good behavior of its facilities make BPcontrol a very promising mobile app for monitoring hypertensive patients.
authors.forename: Adrian
authors.initials: A
authors.lastname: Carrera
authors.forename: Marc
authors.initials: M
authors.lastname: Pifarré
authors.forename: Jordi
authors.initials: J
authors.lastname: Vilaplana
authors.forename: Josep
authors.initials: J
authors.lastname: Cuadrado
authors.forename: Sara
authors.initials: S
authors.lastname: Solsona
authors.forename: Jordi
authors.initials: J
authors.lastname: Mateo
authors.affiliation: Francesc Solsona, Department of Computer Science and INSPIRES, University of Lleida, C/ Jaume II 69,, E-25001 Lleida, Spain, Email: francesc@diei.udl.cat.
authors.forename: Francesc
authors.initials: F
authors.lastname: Solsona
mesh_terms: D000465:Algorithms; D001794:Blood Pressure; D006801:Humans; D006973:Hypertension / Q000175:diagnosis* / Q000503:physiopathology; D063731:Mobile Applications; D008991:Monitoring, Physiologic / Q000379:methods* / Q000706:statistics & numerical data; D017216:Telemedicine / Q000379:methods* / Q000706:statistics & numerical data; D014584:User-Computer Interface
keywords: Hypertension; remote monitoring; telemedicine and telehealth