SWIPER-MOVES

• Research type

  Research Study

• Full title

  Smart Watch Insights for the Prevention of Exacerbations and Enhance Rehabilitation - Movement Study (SWIPER-MOVES)

• IRAS ID

  311121

• Contact name

  Nicholas Peters

• Contact email

  n.peters@imperial.ac.uk

• Sponsor organisation

  Imperial College Healthcare Trust

• Duration of Study in the UK

  2 years, 0 months, 1 days

• Research summary

  Aims
  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 (Fitbit)

  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

  Methods

  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 (Fitbit) 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.

  Outcomes
  The primary outcome of the study is the identification of trends in movement based on step-count data recorded by the Fitbit device.
  
  Secondary outcomes include the Patient Activation Measure (PAM), quality of life (EQ-5D-5L questionnaire), ; heart rate; heart rate variability; sleep quality; biomarkers for cardiovascular health such as HbA1c and cholesterol (where available); healthcare utilisation metrics

• REC name

  London - Camden & Kings Cross Research Ethics Committee

• REC reference

  22/LO/0244

• Date of REC Opinion

  19 Apr 2022

• REC opinion

  Favourable Opinion