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HAAL: HeAlthy Ageing Eco-system for peopLe With Dementia

HAAL: HeAlthy Ageing Eco-system for peopLe With Dementia

Status
UNKNOWN
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT06307197
Acronym
HAAL
Enrollment
10
Registered
2024-03-12
Start date
2023-10-02
Completion date
2024-04-15
Last updated
2024-03-12

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Artificial Intelligence, Caregiver Burden, Dementia, Devices, Older People

Keywords

dementia, caregiver, older people, technological devices, quality of life

Brief summary

HAAL project aims to test several technological devices in order to improve the quality of life of older people with dementia and their informal and formal caregiver.

Detailed description

The HAAL study is a feasibility study. The general objectives of the HAAL project is to be assessed the stress relief at work for formal and informal caregivers, the improvement in the perceived quality of life for informal caregivers and person with dementia, the reduction in case load for the formal caregivers and the increased cost-effectiveness of the HAAL solution in comparison to the available services. The experimentation will be carried out in 3 sites: Italy, The Netherlands and Taiwan. The study consists in a alpha phase (5 older adults with dementia, 5 formal caregivers and 5 formal caregivers) and in a beta phase (10 older adults with dementia, 10 formal caregivers and 10 formal caregivers).

Interventions

DEVICEHAAL platform

The HAAL platform is composed by 6 devices (lifestyle monitoring system, a smart mattress, a GPS tracking system, a social robot, an interactive game for cognitive training, and an alarm system), 1 tablet and 1 dashboard. Each user benefits of a combination of such devices, according to its own needs. The dashboard, that is used by the Formal Caregiver, receives, analyses, and show data acquired by those devices. The platform uses Artificial Intelligence (AI) algorithms - in particular machine learning (ML) is used - to analyse the collected data. The main reason for using AI in HAAL is that the platform collects data from different sensors.

Sponsors

Istituto Nazionale di Ricovero e Cura per Anziani
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
65 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* being the caregiver of a person with cognitive impairment or dementia; * availability of time to participate; * visit the assisted person at least two times at week or live with him/her.

Exclusion criteria

* Lack of written informed consent

Design outcomes

Primary

MeasureTime frameDescription
Care load of caregiversbaseline, 1, 2, and 3 months laterThe burden of the caregiver will be assessed through the ZARIT Burden Interview (ZBI). The ZBI is a caregiver self-report measure, containing 22 items. Each item on the interview is a statement which the caregiver is asked to endorse using a 5-point scale. Response options range from 0 (Never) to 4 (Nearly Always).Total score range: 0 to 88. score range 0-21: no to mild burden; score range 21-40: mild to moderate burden; score range 41-60: moderate to severe burden score ≥ 61: severe burden.

Countries

Italy

Contacts

Primary ContactAnna Rita Bonfigli
a.bonfigli@inrca.it0718003719

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026