New publication – Data Contribution Summaries for Patient Engagement in Multi-Device Health Monitoring Research

Fatigue and sleep disturbances are symptoms of several chronic diseases associated with poor quality of life and increased healthcare costs. A large part of measuring patient’s health is using self-reported methods that can be prone to recall bias or require extensive effort to complete, e.g., sleep diaries. Building on these challenges, IDEA-FAST aims to determine “digital endpoints” or digital biomarkers through using multiple sensing devices “in-the-wild” to assess fatigue, sleep, and activities of daily living in patients with neurodegenerative diseases (e.g. Huntington’s disease) and immune-mediated inflammatory diseases (e.g. rheumatoid arthritis). IDEA-FAST is composed of three stages: a pre-feasibility process where multiple sensing devices were tested by experts and used with convenient subjects to select devices for the subsequent stage as detailed in; a feasibility study (FS) where eleven sensing devices were used “in-the-wild” by patients across six disease affliction groups; and a large-scale longitudinal study clinical observation study (COS) where a subset of devices from the FS will be used. The FS aims to identify candidate digital parameters of fatigue and sleep disturbances to be examined in the larger COS.

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