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Feasibility and Usability of Intrinsic Capacity Monitoring With an Integrated Data Eco-System for Healthy Ageing, and Its Association With Health Outcomes in Older Patients Undergoing Rehabilitation and in Older Nursing Home Residents.

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Prof. Ivan Bautmans · 2024

Abstract

In this study, 120 older adults (aged 65 years or older) either patients undergoing rehabilitation or older nursing home residents will be provided with an Eforto® device and the eco-System for Healthy Ageing (ISHA) mobile application to self-monitor intrinsic capacity for 4 months (if needed with assistance by an (in)formal caregiver). Preferably, the participants will use their own smartphone because mitigating smartphone-use-related issues. The aims of the study are: 1. to evaluate the usability and feasibility of self-monitoring intrinsic capacity by using the ISHA system in rehabilitation and nursing home settings. 2. to investigate if changes and variability in intrinsic capacity as measured with ISHA are related to changes in functional ability and quality of life. 3. to explore individual trajectories of intrinsic capacity with the ISHA system.

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ClinicalTrials.gov
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2026-07-02 MST

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APA
Anonymous. (2024). Feasibility and Usability of Intrinsic Capacity Monitoring With an Integrated Data Eco-System for Healthy Ageing, and Its Association With Health Outcomes in Older Patients Undergoing Rehabilitation and in Older Nursing Home Residents. <em>Prof. Ivan Bautmans</em>. https://clinicaltrials.gov/study/NCT06270979
Vancouver
Anonymous. Feasibility and Usability of Intrinsic Capacity Monitoring With an Integrated Data Eco-System for Healthy Ageing, and Its Association With Health Outcomes in Older Patients Undergoing Rehabilitation and in Older Nursing Home Residents. Prof. Ivan Bautmans. 2024.
BibTeX
@misc{anon2024Feasib, title = {Feasibility and Usability of Intrinsic Capacity Monitoring With an Integrated Data Eco-System for Healthy Ageing, and Its Association With Health Outcomes in Older Patients Undergoing Rehabilitation and in Older Nursing Home Residents.}, author = {Anonymous}, journal = {Prof. Ivan Bautmans}, year = {2024}, }

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