Home-based Self-monitoring System for People with Heart Failure: Pilot findings from the Smart Heart Study

E-poster

Abstract Overview

Background: We developed the Smart Heart prototype as a complete remote heart health monitoring and automated feedback delivery system. It uses sensing technology, combined with AI for early detection of heart failure deterioration, prompt action by end-users, and prevent heart failure-related hospitalisations by improving self-care activities, including physical activity.

Purpose: To describe the preliminary effects of Smart Heart on physical activity, sedentary behaviours, and self-care activities

Methods: Multi-site, single arm pilot study comprising 20 adults with heart failure. Participants accessed the Smart Heart System for 8-weeks. Outcomes were assessed at baseline and post-intervention. Physical activity and sedentary time were assessed using the Samsung Galaxy Watch Pro 5, self-care activities were assessed using the Self-Care of Heart Failure Index (SCHFI). Daily weights, symptoms, and BP were assessed via the Smart Heart platform.

Results: Participants spent long periods of time being sedentary with intermittent bouts of activity performed at a light intensity. Activity levels were associated with metrics of self-care.

Conclusions: This novel Smart Heart ecosystem offers a complete remote heart health monitoring and automated feedback delivery system to support people to modify sedentary time, physical activity and self-care activities, which are critical for the health and well-being of people living with heart failure.

Practical implications: Study findings will inform a future Type 2 hybrid randomised controlled trial. The co-designed intervention will also provide unique insights into the use of wearable technologies and how to integrate these data.

Funding: National Medical Health Research Council, GNT2004316

Additional Authors

Name: Yuxin Zhang
Affiliation: Deakin University
Presenting Author: no
Name: Paul Jansons
Affiliation: Deakin University
Presenting Author: no
Name: Shariful Islam
Affiliation: Deakin University
Presenting Author: no

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Information

Study Type: Intervention
Subtheme: New Technology
Population Group: People with chronic conditions
Setting: Healthcare

Submitting Author

Ralph Maddison
Professor Digital Health
Deakin University
Australia

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