Ignite Creation Date:
2024-07-17 @ 11:08 AM
Last Modification Date:
2024-10-26 @ 3:34 PM
Study NCT ID:
NCT06486935
Status:
RECRUITING
Last Update Posted:
2024-07-05
First Post:
2024-02-27
Brief Title:
City For All Ages Elderly-friendly City Services for Active and Healthy Ageing
Sponsor:
National University of Singapore
Organization:
National University of Singapore
Study Overview
Official Title:
None
Status:
RECRUITING
Status Verified Date:
2024-06
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Many city-dwelling elderly people can be greatly affected after a minor change in their living or health conditions Mild Cognitive Impairment MCI early dementia and frailty are among the most common risks with deep consequences on elderlys and caregivers quality of life Through the new wave of Information and Communication Technologies ICT Internet of Things IoT and smart city system it is now possible to help individuals capture and make use of their personal data in a way that will help them maintain their independence for longer The City for all Ages project will create an innovative service based on
ICT-enhanced early detection of risk related to frailty
ICT-enhanced interventions that can help the elderly population to improve their daily life and also promote positive behaviour change
Through real-life pilot sites in Singapore in collaboration with TOUCH Senior Activity Centre SAC and the Housing Development Board HDB this project explores how data on individual behaviours captured through indoor and outdoor sensors could be used for the observation and detection of the following parameters
Activity of Daily Living ADL nutrition hygiene sleep activity
Mobility physical activity going-out frequency and length
Cognition forgetfulness early signs of mental decline
Socialization senior activity centre visits activities attended other places of interests visits
This 2-year project comprises of 3 phrases involving 10 healthy elderly living in HDB home in phases 1 and 2 and 100 elderly in phase 3 Our focus is to use sensing technologies installed in the elderlys home to monitor and detect their activities of daily living Sensor data that is collected will then be analyzed to identify relevant behaviours of individuals and to detect behavioral changes that can be correlated with risks of MCIfrailty The appropriate ICT based interventions eg data visualization and alerts to caregivers will then be applied to mitigate these risks Additionally psychosocial data related to the elderlys quality of life social activity participation and activities of daily living will also be collected via interviews and activity logs to evaluate the outcomes of our technology intervention
ICT-enhanced early detection of risk related to frailty
ICT-enhanced interventions that can help the elderly population to improve their daily life and also promote positive behaviour change
Through real-life pilot sites in Singapore in collaboration with TOUCH Senior Activity Centre SAC and the Housing Development Board HDB this project explores how data on individual behaviours captured through indoor and outdoor sensors could be used for the observation and detection of the following parameters
Activity of Daily Living ADL nutrition hygiene sleep activity
Mobility physical activity going-out frequency and length
Cognition forgetfulness early signs of mental decline
Socialization senior activity centre visits activities attended other places of interests visits
This 2-year project comprises of 3 phrases involving 10 healthy elderly living in HDB home in phases 1 and 2 and 100 elderly in phase 3 Our focus is to use sensing technologies installed in the elderlys home to monitor and detect their activities of daily living Sensor data that is collected will then be analyzed to identify relevant behaviours of individuals and to detect behavioral changes that can be correlated with risks of MCIfrailty The appropriate ICT based interventions eg data visualization and alerts to caregivers will then be applied to mitigate these risks Additionally psychosocial data related to the elderlys quality of life social activity participation and activities of daily living will also be collected via interviews and activity logs to evaluate the outcomes of our technology intervention
Detailed Description:
Like many developed countries Singapore faces the challenges of an ageing population The number of Singaporeans aged 65 and above is increasing rapidly as population growth slows The number of seniors has doubled from 220000 in 2000 to 440000 in 2015 and is expected to increase to 900000 by 2030 Amongst the elderly people close to 10 are living alone from 35000 in 2012 to 83000 by 2030 The changing demographic not only increases healthcare costs but also the demand on healthcare services and care provision
Preventing frailty and MCI is key for the elderly to maintain their day-to-day activities and remain healthy and independent at home Prior research has shown that frailty like disability is a dynamic process with older individuals moving back and forth between different frailty states Transition to frailty is a gradual progression that occurs over the course of several months or years and there are surprisingly high rates of recovery However it is important to intervene within the right time window before a person goes into full blown frailty Hence it is important to detect the onset and progression of frailty and to identify the factors that may facilitate transitions to less frail states This can inform the development of interventions to manage elderly at risk for fraility
City for All Ages project seeks to demonstrate that smart cities can play a pivotal role in prevention ie the early detection and consequent intervention of MCI and frailty-related risks The core idea is that smart cities enabled by the deployment of sensor technologies and analytics can collect data about individuals a to identify segments of population potentially at risk in order to start more stringent monitoring b to closely monitor selected individuals in order to start a proactive intervention In both cases adverse changes of behaviors that are identified through a set of indicators can prompt preventive actions The aim is to advance the research on healthcare towards a proactive rather than reactive system
The research team will leverage the existing experimentations and pilot sites that have focused on detection of elderly risky behaviors both in France and Singapore Lessons learnt from dealing with challenges either in terms of understanding the data such as false positives meaningful information etc or providing the appropriate and timely intervention such as difficulty in identifying and organizing the intervention effectively large panel of stakeholders excessive solicitation of caregivers etc would be useful for this project
Our goal is to use sensing technologies installed in the elderlys home to monitor and detect their activities such as cooking sleeping going to the bathroom going out of the apartment or potential wandering bathroom falls Sensor data will be collected unobtrusively and managed using a privacy-aware linked open data paradigm Basic reasoning and learning algorithms will be applied to the data to identify relevant behaviours of individuals and to detect behavioral changes that can be correlated with risks of MCIfrailty The appropriate ICT based interventions eg data visualization and alerts to caregivers will then be applied to mitigate these risks
Preventing frailty and MCI is key for the elderly to maintain their day-to-day activities and remain healthy and independent at home Prior research has shown that frailty like disability is a dynamic process with older individuals moving back and forth between different frailty states Transition to frailty is a gradual progression that occurs over the course of several months or years and there are surprisingly high rates of recovery However it is important to intervene within the right time window before a person goes into full blown frailty Hence it is important to detect the onset and progression of frailty and to identify the factors that may facilitate transitions to less frail states This can inform the development of interventions to manage elderly at risk for fraility
City for All Ages project seeks to demonstrate that smart cities can play a pivotal role in prevention ie the early detection and consequent intervention of MCI and frailty-related risks The core idea is that smart cities enabled by the deployment of sensor technologies and analytics can collect data about individuals a to identify segments of population potentially at risk in order to start more stringent monitoring b to closely monitor selected individuals in order to start a proactive intervention In both cases adverse changes of behaviors that are identified through a set of indicators can prompt preventive actions The aim is to advance the research on healthcare towards a proactive rather than reactive system
The research team will leverage the existing experimentations and pilot sites that have focused on detection of elderly risky behaviors both in France and Singapore Lessons learnt from dealing with challenges either in terms of understanding the data such as false positives meaningful information etc or providing the appropriate and timely intervention such as difficulty in identifying and organizing the intervention effectively large panel of stakeholders excessive solicitation of caregivers etc would be useful for this project
Our goal is to use sensing technologies installed in the elderlys home to monitor and detect their activities such as cooking sleeping going to the bathroom going out of the apartment or potential wandering bathroom falls Sensor data will be collected unobtrusively and managed using a privacy-aware linked open data paradigm Basic reasoning and learning algorithms will be applied to the data to identify relevant behaviours of individuals and to detect behavioral changes that can be correlated with risks of MCIfrailty The appropriate ICT based interventions eg data visualization and alerts to caregivers will then be applied to mitigate these risks
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None