Connected recovery in motion: sensors, self-management, and sedentary behaviour in geriatric rehabilitation

Abstract

This thesis explores how wearable sensor monitoring technology can support older adults during geriatric rehabilitation in improving self-management and reducing sedentary behaviour.

A qualitative study, mixed-method studies, a systematic review and a quantitative study are described. The findings show that patients and healthcare professionals generally value sensors because they can provide insight into health status and behaviour, could support self-management, and can facilitate conversations about recovery and activity. However, successful application requires systems that measure accurately, are easy to use, align with rehabilitation goals, provide support for various users and are integrated into the treatment plan. Additionally, it is demonstrated that sedentary behaviour remains highly prevalent during and after rehabilitation, while evidence on effective strategies to reduce it is still limited.

Overall, the work highlights the potential of sensor-based blended care while emphasizing the importance of tailoring digital innovations to the needs of older adults, healthcare professionals, and the rehabilitation context.