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KiCS1 study : Digital health for current hospital- based Cardiac rehabilitation programmes to increase effectiveness and patient outcomes.
Full description
Cardiac rehabilitation (CR) after a heart attack has shown to be more effective than any other medication given after such an event. It is a recommended therapy by NICE. However, only 44% of eligible patients attend rehabilitation and only half of these complete the course. Novel ways to increase uptake and compliance are needed.
In this study, calorie burn and physical activity data will be collected using a validated, CE marked physical activity monitor, herein referred to as Ki monitor. Data can be uploaded to an online behaviour change platform that incorporates personalised feedback in the context of their bespoke requirements for CR to empower people to self-care at home using their personal everyday physical activity. This can be closely monitored and support can be given on the contextualised feedback by healthcare professionals. A small pilot study has been carried out to establish wearability of a physical activity monitor in a CR cohort, which has demonstrated a high level of acceptability.
We now wish to extend this pilot to a randomised study designed to test the effectiveness of using contextualised body data to influence physical activity in a free-living environment amongst patients undergoing CR, based on the current ACPICR standards for Daily Activity and At-home Training. All patients referred for CR will be invited to take part. These will be randomised to the usual care (UC) group or the contextualised data feedback (CDF) group. Both groups will wear the Ki monitor for eight weeks. The UC group will receive usual care, the CDF group will receive usual care with the addition of contextualised feedback on their activities based on the physical activity data.
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Inclusion criteria
All patients referred to the cardiac rehab programme will be invited to take part in the study.
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130 participants in 2 patient groups
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Central trial contact
Micheal Fisher
Data sourced from clinicaltrials.gov
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