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1.
Transl Med UniSa ; 19: 36-41, 2019.
Article in English | MEDLINE | ID: mdl-31360665

ABSTRACT

There is a growing need to implement and evaluate the technological solutions that allow the early detection of age-related frailty and enable assessment of the predictive values of frailty components. The broad use of these solutions may ensure an efficient and sustainable response of health and social care systems to the challenges related to demographic aging. In this paper, we present the protocol of the ModulEn study that aims to develop and validate a predictive model for frailty. For this purpose, the sample composed by older adults aged 65-80 years and recruited from the community will be invited to use an electronic device ACM Kronowise® 2.0. This device allows proactive and continuous monitoring of circadian health, physical activity, and sleep and eating habits. It will be used during a period of seven to ten days. The participants will also be given the questionnaires evaluating the variables of interest, including frailty level, as well as their experience and satisfaction with the device use. Data provided from these two sources will be combined and the relevant associations will be identified. In our view, the implications of this study' findings for clinical practice include the possibility to develop and validate tools for timely prevention of frailty progress. In the long term, the ModulEn may contribute to the critical reduction of frailty burden in Europe.

2.
Stud Health Technol Inform ; 210: 678-80, 2015.
Article in English | MEDLINE | ID: mdl-25991237

ABSTRACT

In the context of the long-term care for older adults, informal carers play a key role. Daily competing priorities or a care-skills deficit may lead them to stress, anxiety and/or depression. The iCarer project (AAL-2012-5-239) proposes the design and implementation of a cloud-inspired personalised and adaptive platform which will offer support to informal carers of older adults with cognitive impairment. By means of a holistic approach comprising technologies and services addressing the intelligent and interactive monitoring of activities, knowledge management for personalised guidance and orientation, virtual interaction, e-learning, care coordination facilities and social network services, iCarer aims to reduce the informal carer stress and to enhance the quality of care they provide, thus improving their quality of life. The iCarer platform will be evaluated through a multi-centre non-controlled study (4 months; 48 homes located in England and in Slovenia). Currently the iCarer project is completing the development work. The evaluation trial is expected to start in August 2015.


Subject(s)
Caregivers/education , Cloud Computing , Cognition Disorders/diagnosis , Cognition Disorders/therapy , Telemedicine/methods , User-Computer Interface , Aged, 80 and over , Europe , Health Services for the Aged , Home Care Services/organization & administration , Humans , Software
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