1,742 research outputs found

    Considerations and design on apps for elderly with mild-to-moderate dementia

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    Many elderly people suffer from dementia in their daily life. The symptoms of dementia include impairments in thinking, communicating and recalling things of the past. Dementia can be caused by brain damage incurred from stroke (brain infarct), injury or other diseases. Recently, research has indicated a potential rehabilitative role for touchscreen technology in dementia. Elders can use apps to aid recall in order to support activities of daily living. Memory and activity apps can be developed for people suffering from early dementia. This paper presents the current state of development in the field of cognitive tests. It has also presented the many considerations and design issues related to the development of apps for people with dementia. © 2015 IEEE.published_or_final_versio

    Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

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    Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials

    Designing a gamified social platform for people living with dementia and their live-in family caregivers

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    In the current paper, a social gamified platform for people living with dementia and their live-in family caregivers, integrating a broader diagnostic approach and interactive interventions is presented. The CAREGIVERSPRO-MMD (C-MMD) platform constitutes a support tool for the patient and the informal caregiver - also referred to as the dyad - that strengthens self-care, and builds community capacity and engagement at the point of care. The platform is implemented to improve social collaboration, adherence to treatment guidelines through gamification, recognition of progress indicators and measures to guide management of patients with dementia, and strategies and tools to improve treatment interventions and medication adherence. Moreover, particular attention was provided on guidelines, considerations and user requirements for the design of a User-Centered Design (UCD) platform. The design of the platform has been based on a deep understanding of users, tasks and contexts in order to improve platform usability, and provide adaptive and intuitive User Interfaces with high accessibility. In this paper, the architecture and services of the C-MMD platform are presented, and specifically the gamification aspects. © 2018 Association for Computing Machinery.Peer ReviewedPostprint (author's final draft

    Digital support for self-management and meaningful activities of people with mild dementia:Development, implementation and feasibility of a person-centred touch-screen intervention

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    This thesis reports on the research that was conducted to develop and pilot test a person-centred touchscreen-based program (FindMyApps intervention) that supports people with mild dementia and their informal carers in how to use a tablet and apps for self-management and meaningful activities. The program consists of the FindMyApps training for informal carers in supporting people with mild dementia in using a tablet and the FindMyApps selection tool designed to help people with mild dementia find apps for self-management and meaningful activities that fit their needs, wishes and abilities. The program was developed following the Medical Research Council (MRC) Framework for the design and evaluation of complex interventions and in co-creation with end users. The chapters of this thesis describe the first three phases of this framework i.e.: the preclinical or theoretical phase (0); the modelling phase (I) and the exploratory trial (II). The execution of an RCT (III), and further implementation (IV) in case the intervention proves effective, are beyond the scope of this thesis. In the first phase user needs studies were performed to identify user requirements for desired self-management and meaningful activities and to identify user-requirements related to the use of apps. Eight focus groups were performed in which people with mild cognitive impairment (MCI) or mild dementia (n=13) and informal carers (n=15) participated. We also conducted a literature review to explore which training interventions are most effective for people with mild dementia in (re)learning how to use technologies, including handheld touchscreen devices. An electronic search was conducted in the following databases: PubMed, APA PsycInfo (EBSCO) and CINAHL (EBSCO). In total 16 studies met the inclusion criteria. Our review contributed to the growing amount of promising evidence on the potential impact of Errorless learning training interventions for people with mild to moderate dementia in (re)learning how to use technology. Based on these results we developed the FindMyApps training. In the second phase of the framework we developed a first concept of the FindMyApps selection tool based on identified user requirements. To ensure its usability, the web-based tool was developed using a ‘user-participatory design’ involving the close collaboration of potential users, a development team (researchers, developers and designers) and an expert team (experts in person-centred dementia care and ICT). In three short iterative rounds – so called ‘sprints’ – the users (people with dementia (n=8) and (in)formal carers (n=10)) were invited to test whether the prototypes were in line with their needs, wishes and abilities. This generated important insights into user-interface aspects relating to (i) useful content and (ii) a user-friendly tool design. In the third phase we pilot tested the FindMyApps intervention by means of individual semi-structured interviews and a pilot randomized controlled exploratory trial. Twenty people with mild dementia and informal carer dyads were randomly assigned to the FindMyApps group (n=10), receiving either the FindMyApps training and selection tool, or a control condition (n=10), receiving only a short tablet training. Pre- and post-test measurements at a three month follow-up, consisted of questionnaires and post-test semi-structured interviews. Based on the qualitative results and the effect sizes on the outcomes measured in this study, we consider that the FindMyApps intervention has the potential to positively influence the self-management and engagement in meaningful activities in people with dementia. Future studies with a larger sample should better indicate whether this expectation can be confirmed. The intervention will be further improved and tested in a larger pilot-RCT study and its effectiveness subsequently evaluated in a definite RCT

    Design of a Framework for Cognitive Support in Dementia Care for the Elderly

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    Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceThis section provides an overview of the magnitude of dementia care in communities and health care systems. It introduces the background and context for the utilization of technology and digital solutions to address mental health issues in the elderly, specifically focusing on dementia. The objective is to propose a design framework for the development of health technology that caters to caregivers of individuals living with dementia. A brief review of the latest studies related to the successful adoption of technology for dementia and cognitive impairment decline will serve as the foundation for the proposal of this thesis. The following paragraphs approach the background and context of the healthcare problems related to ageing and introduce dementia from a technological perspective. The research question is presented, along with the proposed objectives to address that question. Furthermore, the relevance of this study within the context of information management is summarized

    Role of Artificial Intelligence (AI) art in care of ageing society: focus on dementia

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    open access articleBackground: Art enhances both physical and mental health wellbeing. The health benefits include reduction in blood pressure, heart rate, pain perception and briefer inpatient stays, as well as improvement of communication skills and self-esteem. In addition to these, people living with dementia benefit from reduction of their noncognitive, behavioural changes, enhancement of their cognitive capacities and being socially active. Methods: The current study represents a narrative general literature review on available studies and knowledge about contribution of Artificial Intelligence (AI) in creative arts. Results: We review AI visual arts technologies, and their potential for use among people with dementia and care, drawing on similar experiences to date from traditional art in dementia care. Conclusion: The virtual reality, installations and the psychedelic properties of the AI created art provide a new venue for more detailed research about its therapeutic use in dementia

    Feasibility-Usability Study of a Tablet App Adapted Specifically for Persons with Cognitive Impairment—SMART4MD (Support Monitoring and Reminder Technology for Mild Dementia)

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    Population ageing within Europe has major social and economic consequences. One of the most devastating conditions that predominantly affects older people is dementia. The SMART4MD (Support Monitoring and Reminder Technology for Mild Dementia) project aims to develop and test a health application specifically designed for people with mild dementia. The aim of this feasibility study was to evaluate the design of the SMART4MD protocol, including recruitment, screening, baseline examination and data management, and to test the SMART4MD application for functionality and usability before utilization in a full-scale study. The feasibility study tested the protocol and the app in Spain and Sweden. A total of nineteen persons with cognitive impairment, and their informal caregivers, individually performed a task-based usability test of the SMART4MD app model in a clinical environment, followed by four-week testing of the app in the home environment. By employing a user-centered design approach, the SMART4MD application proved to be an adequate and feasible interface for an eHealth intervention. In the final usability test, a score of 81% satisfied users was obtained. The possibility to test the application in all the procedures included in the study generated important information on how to present the technology to the users and how to improve these procedures
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