Smart Watch Insights for Prevention of Exacerbations and Enhance Rehabilitation - Movement Study

Cardiovascular Diseases, Non-Alcoholic Fatty Liver Disease, Respiratory Disease, Diabetes

Digital health, Smart wearable, Population health, Digital biomarkers

Aims of the study: 1. To deliver a scalable wellbeing programme to the local population of Imperial College Healthcare NHS Trust, focusing on movement. 2. To describe the natural history of long-term conditions using digital data from a smartwatch. 3. To identify digital information that is routinely collected by a smart watch that can be used to predict outcomes in patients with long term conditions. 4. To identify factors that determine whether participants engage with and improve in a movement programme. Adult patients who are registered to the Imperial NHS Care Information Exchange (CIE), an NHS patient-facing electronic health record, are eligible to participate in the study. Participants will receive a smart watch for self-monitoring of their movement and wellbeing and be asked to wear the device as much as possible. They will be asked to download a smartphone application called Connected Life, which displays movement and information on heart rate, breathing and oxygen levels to both the participant and the research team (digital data). Participants will receive secure login details for the Connected Life application from the research team, to ensure data privacy. The research team will look at participants' health records, and attempt to identify associations between the digital data and clinical information. This will allow the research team to identify digital data that predicts the onset and natural history of long term conditions, which may potentially allow for earlier diagnosis for future patients. The primary outcome of the study is the identification of trends in movement based on step-count data recorded by the smartwatch.

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United Kingdom