journal article·2024-09-05Open access

Implementation of COGNIVITRA, an Information- and Communications-Technology-Based Solution for Dual-Task Training, in Patients at Risk of Cognitive Impairment

Judit Lopez Luque, Iñigo Chivite, Marina Serena, Clara Szymanski, David Benhsain, Ana Isabel Martins, Nelson Pacheco Rocha, Joana Pais, Vítor Tedim Cruz, João Quintas, Antoni Callen

Applied Sciences· Volume 14· Issue 17

Abstract

Mild cognitive impairment (MCI) is characterized by a modest decline in cognitive function that, while noticeable, does not severely impact daily life, allowing individuals to maintain their independence—a key factor distinguishing it from dementia. Currently, there are no treatments available that can modify the course of the disease, although cognitive and physical activities have shown potential in slowing its progression. In response to the need for more accessible cognitive care, COGNIVITRA, an information- and communications-technology-based solution, was developed to extend cognitive training into the home environment. This platform not only facilitates communication between patients and care providers but also holds promise for enhancing cognitive care accessibility and potentially influencing the economic aspects of healthcare institutions. To evaluate the usability, impact, and effectiveness of COGNIVITRA, a 12-week (6 mandatory + 6 voluntary) multicenter study was conducted, with an expected total sample size of 20 professionals, 90 patients and 20 caregivers and involving two settings (clinical and home settings) and the collection of various data types at baseline and after 6 or 12 weeks of training, including sociodemographic information, cognitive assessments, and usability metrics. These metrics included the System Usability Scale (SUS), the International Classification of Functioning-Based Usability Scales (ICF-US I and II), the Unified Theory of Acceptance and Use of Technology (UTAUT), health-related quality of life measures such as the EQ-5D-5L, cognitive domain assessments via the Montreal Cognitive Assessment (MoCA), and physical assessments such as the Timed 25-Foot Walk (T25-FW) test. The study included 22 patients, 2 caregivers, and 24 professionals. The usability evaluation revealed that patients, particularly those participating in the home study, showed improved SUS scores, suggesting an enhanced user experience with the platform. The ICF-US I results further supported this finding by indicating that COGNIVITRA was particularly effective as a supportive tool in terms of satisfaction and ease of learning. Despite a higher incidence of errors during the home study, the observational grid questionnaire demonstrated high success rates for task completion. Professionals involved in the study also reported high SUS scores and provided positive feedback regarding device usability. Overall, the participants expressed increased satisfaction with the platform, as reflected in their responses. The UTAUT analysis confirmed a generally positive attitude toward the use of COGNIVITRA. However, when assessing effectiveness, the analysis revealed a noninferiority positive trend in the EQ-5D-5L, T25-FW, and MoCA scores, indicating that while there were positive changes, they were not statistically significant.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Dementia and Cognitive Impairment Research · Context-Aware Activity Recognition Systems · EEG and Brain-Computer Interfaces

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Parc Sanitari Sant Joan de Déu, 08830 Sant Boi de Llobregat, Spain

Institut de Recerca Sant Joan de Déu, 08950 Esplugues de Llobregat, Spain

Rehazenter—Centre National de Rééducation Fonctionnelle et de Réadaptation, 2674 Luxembourg, Luxembourg

CINTESIS—Center for Health Technology and Services Research, School of Health Sciences, University of Aveiro, 3810-193 Aveiro, Portugal

IEETA—Institute of Electronics and Informatics Engineering of Aveiro, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal

Neuroinova, EPIUnit—Epidemiology Research Unit, Institute of Public Health, University of Porto, 4410-463 Vila Nova de Gaia, Portugal

Institute of Public Health, University of Porto, 4464-513 Senhora da Hora, Portugal

Laboratory for Automation and Systems, Instituto Pedro Nunes, 3030-199 Coimbra, Portugal

Funding

European Union under the AAL programme · Fundação para a Ciência e a Tecnologia (FCT) · Instituto de Salud Carlos III (ISCIII) · Luxembourg National Research Fund (FNR)

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