Publications by authors named "Julie Devonshire"

Article Synopsis
  • Remote Measurement Technology (RMT) utilizes wearable devices and smartphone apps to monitor health, aiding self-management of chronic conditions through data visualization and feedback.
  • This study investigates the data visualization preferences of individuals with depression, epilepsy, and multiple sclerosis (MS), utilizing focus groups and user reviews to gather insights.
  • Findings highlight key themes in design preferences, including effective data reporting, visualization impact, and the importance of tailored app features for users with neurological and psychiatric conditions.
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Background: There is increasing interest in the potential uses of mobile health (mHealth) technologies, such as wearable biosensors, as supplements for the care of people with neurological conditions. However, adherence is low, especially over long periods. If people are to benefit from these resources, we need a better long-term understanding of what influences patient engagement.

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