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

• Главные авторы: Sara Simblett (Автор), Erin Dawe-Lane (Автор), Gina Gilpin (Автор), Daniel Morris (Автор), Katie White (Автор), Sinan Erturk (Автор), Julie Devonshire (Автор), Simon Lees (Автор), Spyridon Zormpas (Автор), Ashley Polhemus (Автор), Gergely Temesi (Автор), Nicholas Cummins (Автор), Matthew Hotopf (Автор), Til Wykes (Автор)
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• Опубликовано: JMIR Publications, 2024-10-01T00:00:00Z.
• Предметы: article
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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...