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

Sponsor

Imperial College London (Other)

Overall Status

Enrolling by invitation

CT.gov ID

NCT06011356

Collaborator

(none)

1,000

Enrollment

Location

Anticipated Duration (Months)

27.8

Patients Per Site Per Month

Study Details

Study Description

Brief Summary

Aims of the study:

To deliver a scalable wellbeing programme to the local population of Imperial College Healthcare NHS Trust, focusing on movement.
To describe the natural history of long-term conditions using digital data from a smartwatch.
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.
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.

Condition or Disease	Intervention/Treatment	Phase
Cardiovascular Diseases Non-Alcoholic Fatty Liver Disease Respiratory Disease Diabetes	Device: Smartwatch

Study Design

Study Type:

Observational

Anticipated Enrollment :

1000 participants

Observational Model:

Cohort

Time Perspective:

Prospective

Official Title:

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

Anticipated Study Start Date :

Aug 30, 2023

Anticipated Primary Completion Date :

Aug 30, 2026

Anticipated Study Completion Date :

Aug 30, 2026

Outcome Measures

Primary Outcome Measures

Step count [24 months]
Change and trends in step count

Secondary Outcome Measures

Quality of life (EQ-5D-5L) [24 months]
Change in quality of life as measured by the EQ-5D-5L questionnaire
Patient Activation Measure (PAM) [24 months]
Change in patient engagement and confidence over own health, as measured by the Patient Activation Measure

Eligibility Criteria

Criteria

Ages Eligible for Study:

18 Years and Older

Sexes Eligible for Study:

All

Accepts Healthy Volunteers:

Yes

Inclusion Criteria:

Aged over 18 years
Registered with the patient-facing electronic health record (Care Information Exchange)

Exclusion Criteria:

Unwilling or unable to provide informed consent
Arm or wrist injury or condition prohibiting the safe use of a smartwatch
Any visual impairment preventing the use of the smartwatch or smartphone application.