My-active and healthy ageing (My-AHA): An ICT platform to detect frailty risk and propose intervention

Vercelli, Alessandro; Rainero, Innocenzo; Rosario, Helios De; Summers, Mathew J.; Wieching, Rainer; Aumayr, Georg; Bandelow, Stephan; Ciferri, Ludovico; Bazzani, Marco

doi:10.23919/softcom.2017.8115505

Cited by 8 publications

(17 citation statements)

References 5 publications

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“…MCI evaluation derives from the results of MMSE, ADL and IADL tests, with particular reference to attentive and executive functions [21]. [8,14] subthreshold insomnia, [15,21] moderate insomnia, [22,28] severe insomnia 16.1…”

Section: Primary and Secondary Usersmentioning

confidence: 99%

Experimenting Mobile and e-Health Services with Frail MCI Older People

et al. 2019

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The ageing population has become an increasing phenomenon world-wide, leading to a growing need for specialised help. Improving the quality of life of older people can lower the risk of depression and social isolation, but it requires a multi-dimensional approach through continuous monitoring and training of the main health domains (e.g., cognitive, motor, nutritional and behavioural). To this end, the use of mobile and e-health services tailored to the user's needs can help stabilise their health conditions, in terms of physical, mental, and social capabilities. In this context, the INTESA project proposes a set of personalised monitoring and rehabilitation services for older people, based on mobile and wearable technologies ready to be used either at home or in residential long-term care facilities. We evaluated the proposed solution by deploying a suite of services in a nursing home and defining customised protocols to involve both guests (primary users) and nursing care personnel (secondary users). In this paper, we present the extended results obtained after the one-year period of experimentation in terms of technical reliability of the system, Quality of Experience, and user acceptance for both the user categories.Information 2019, 10, 253 2 of 18 reaching 12.6%, with a substantial prevalence of women (http://ec.europa.eu/eurostat/web/populationdemography-migration-projections/). These people need specialised help and continuous monitoring, training and rehabilitation to maintain their quality of life and discard the risk of depression, social isolation, and frailty decline. To this aim, the introduction of e-health services in nursing homes and, in general, in residential LTC facilities, can help stabilise the health conditions of the guests in terms of physical, mental, and social capabilities. In addition, the use of personalised monitoring and rehabilitation services can contribute to the reduction of LTC costs, both in nursing home institutions (with appropriate spaces and personnel support) and directly at home (for those who can continue living independently). Another fundamental requirement for LTC is the possibility to implement an individual integrated care program, providing a complete picture of the health status of each subject during time, and personalised feedback as well as coaching solutions to help reduce unhealthy behaviors.The integrated care approach was recently defined by the World Health Organization (WHO) in the Integrated Care for Older People (ICOPE) programme [3] with a focus on re-orienting primary care providers and health systems to respond to the great diversity in physical and mental capacities of older people, and to provide person-centred and integrated services. This type of programs can also help physicians address acute conditions based on a complete clinical and behavioural picture. Integrated care fits in the wider context of health and well-being research, that has witnessed a growing interest both from the research communities and governments. Specifically, an EU co...

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Section: Primary and Secondary Usersmentioning

confidence: 99%

Experimenting Mobile and e-Health Services with Frail MCI Older People

et al. 2019

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“…As can be seen in Figure 2, the five studies focused on physical activity [27,32,34,36,37] represent a third of the total, and the five focused on life purpose studies [28,30,35,39,40] represent another third. Four of the studies related to the “life purpose” pillar [30,32,41,42] (80% of the “life purpose” pillar related studies and 26.66% of the total of studies) focus on habit management and CBT. Only two of the studies [36,40], which represent 13.33%, are multimodal.…”

Section: Resultsmentioning

confidence: 99%

“…Three of the studies [29,36,39] (20%) employed heavy monitoring with controlled spaces or specific devices. Two studies [34,42] (13.33%) focused on medium monitoring, based on smartphones, wearables, and sensors. The remaining two studies [38,43] (13.33%) did not use any kind of monitoring systems, and relied instead on baseline and post-intervention assessments.…”

Section: Resultsmentioning

confidence: 99%

“…Six of the studies [29,33,36,38,40,43] (40%) did not carry out any kind of intervention. Static interventions were conducted in five of the studies [31,34,35,41,42] (33.33%). The remaining four studies [30,32,37,39] (26.67%) report a dynamic automatized or semi-automatized guided intervention.…”

Section: Resultsmentioning

confidence: 99%

“…Six of the included studies (42.86%) used mobile phones as a technological solution. They are used on their own in three studies (21.43%) [31,32,43] or in combination with wearables in two studies (14.29%) [34,42] or web applications in only one study (7.14%) [37]. For example, Wirth et al [31] used mobile phones to report monitoring data via telephone.…”

Section: Resultsmentioning

confidence: 99%

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Technologies for Monitoring Lifestyle Habits Related to Brain Health: A Systematic Review

Moreno-Blanco

Solana-Sánchéz

Sánchez-González

et al. 2019

Sensors

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Brain health refers to the preservation of brain integrity and function optimized for an individual’s biological age. Several studies have demonstrated that our lifestyles habits impact our brain health and our cognitive and mental wellbeing. Monitoring such lifestyles is thus critical and mobile technologies are essential to enable such a goal. Three databases were selected to carry out the search. Then, a PRISMA and PICOTS based criteria for a more detailed review on the basis of monitoring lifestyle aspects were used to filter the publications. We identified 133 publications after removing duplicates. Fifteen were finally selected from our criteria. Many studies still use questionnaires as the only tool for monitoring and do not apply advanced analytic or AI approaches to fine-tune results. We anticipate a transformative boom in the near future developing and implementing solutions that are able to integrate, in a flexible and adaptable way, data from technologies and devices that users might already use. This will enable continuous monitoring of objective data to guide the personalized definition of lifestyle goals and data-driven coaching to offer the necessary support to ensure adherence and satisfaction.

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