Data Visualization Preferences in Remote Measurement Technology for Individuals Living With Depression, Epilepsy, and Multiple Sclerosis: Qualitative Study

• Main Authors: Sara Simblett (Author), Erin Dawe-Lane (Author), Gina Gilpin (Author), Daniel Morris (Author), Katie White (Author), Sinan Erturk (Author), Julie Devonshire (Author), Simon Lees (Author), Spyridon Zormpas (Author), Ashley Polhemus (Author), Gergely Temesi (Author), Nicholas Cummins (Author), Matthew Hotopf (Author), Til Wykes (Author)
• Format: Book
• Published: JMIR Publications, 2024-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundRemote measurement technology (RMT) involves the use of wearable devices and smartphone apps to measure health outcomes in everyday life. RMT with feedback in the form of data visual representations can facilitate self-management of chronic health conditions, promote health care engagement...