Intelligent Assistive Technology for Alzheimer’s Disease and Other Dementias: A Systematic Review

Intelligent assistive technology devices for persons with dementia: A scoping review

Assistive technology (AT) with context-aware computing and artificial intelligence capabilities can be applied to address cognitive and communication impairments experienced by persons with dementia (PwD). This paper aims to provide an overview of current literature regarding some characteristics of intelligent assistive technology devices (IATDs) for cognitive and communicative impairments of PwD. It also aims to identify the areas of impairment addressed by these IATDs.A multi-faceted systematic search strategy yielded records. Predefined criteria were applied for inclusion and data extraction. Thereafter data was thematically analysed and synthesised. This review demonstrates that almost all of the research involving IATDs has focused on cognitive impairments of PwD and has not yet evolved past the conceptual or prototype stages of development. Summaries of commercially available IATDs for PwD and relevant prototypes are provided at the end of this review.This research concluded that IATDs for PwD targeting cognition and communication problems primarily focus on social robots, and that they address cognitive impairments of attention, affect, and social-pragmatic communicative impairments. Future research endeavours concerning AT for PwD should explore collaboration between computer engineering and health practitioners to address the identified gaps. This may contribute to the available information for evidence-based decision making for PwD.

Perceived Benefit and Satisfaction With a Tablet Computer and an Emergency Smartwatch by Older Adults and Their Relatives: Prospective Real-World Pilot Study

Background

Assistive technologies (ATs) have the potential to promote the quality of life and independent living of older adults and, further, to relieve the burden of formal and informal caregivers and relatives. Technological developments over the last decades have led to a boost of available ATs. However, evidence on the benefits and satisfaction with ATs in real-world applications remains scarce.

Objective

This prospective, real-world, pilot study tested the perceived benefit and satisfaction with different ATs in the real-world environment.

Methods

Community-dwelling adults aged ≥65 and their relatives tested a tablet computer with a simplified interface or a smartwatch with programmable emergency contacts for 8 weeks in their everyday life. Perceived benefits and satisfaction with ATs were assessed by all older adults and their relatives using different assessment tools before and after the intervention. Outcome measures included the Technology Usage Inventory, Quebec User Evaluation of Satisfaction with Assistive Technology 2.0, and Canadian Occupational Performance Measure.

Results

A total of 17 older adults (tablet computer: n=8, 47% and smartwatch: n=9, 53%) and 16 relatives (tablet computer: n=7, 44% and smartwatch: n=9, 56%) were included in the study. The number of participants that were frail (according to the Clinical Frailty Scale) and received care was higher in the smartwatch group than in the tablet computer group. Older adults of the smartwatch group reported higher technology acceptance (Technology Usage Inventory) and satisfaction (Quebec User Evaluation of Satisfaction with Assistive Technology 2.0) scores than those of the tablet computer group, although the differences were not significant (all P>.05). In the tablet computer group, relatives had significantly higher ratings on the item intention to use than older adults (t12.3=3.3, P=.006). Identified everyday issues with the Canadian Occupational Performance Measure included contact/communication and entertainment/information for the tablet computer, safety and getting help in emergency situations for the smartwatch, and the usability of the AT for both devices. While the performance (t8=3.5, P=.008) and satisfaction (t8=3.2, P=.01) in these domains significantly improved in the smartwatch group, changes in the tablet computer group were inconsistent (all P>.05).

Conclusions

This study highlights the remaining obstacles for the widespread and effective application of ATs in the everyday life of older adults and their relatives. While the results do not provide evidence for a positive effect regarding communication deficits, perceived benefits could be shown for the area of safety. Future research and technical developments need to consider not only the preferences, problems, and goals of older adults but also their relatives and caregivers to improve the acceptability and effectiveness of ATs.

A scoping review of the use of intelligent assistive technologies in rehabilitation practice with older adults

PURPOSE

There is growing interest in intelligent assistive technologies (IATs) in the rehabilitation and support of older adults, however, the factors contributing to or preventing their use in practice are not well understood. This study aimed to develop an overview of current knowledge on barriers and facilitators to the use of smart technologies in rehabilitative practice with older adults.

MATERIALS AND METHODS

We undertook a scoping review following guidelines proposed by Arksey and O'Malley (2005) and Levac et al. (2010). A computerised literature search was conducted using the Scopus and Ovid databases, yielding 7995 citations. Of these, 94 studies met inclusion criteria. Analysis of extracted data identified themes which were explored in semi-structured interviews with a purposefully selected sample of seven clinical rehabilitation practitioners (three physical therapists, two occupational therapists, and two speech-language pathologists).

RESULTS

Barriers and facilitators to using these technologies were associated with accessibility, reported effectiveness, usability, patient-centred considerations, and staff considerations.

CONCLUSIONS

Collaborative efforts of policy-makers, researchers, manufacturers, rehabilitation professionals, and older persons are needed to improve the design of technologies, develop appropriate funding and reimbursement strategies, and minimise barriers to their appropriate use to support independence and quality of life. Any strategies to improve upon barriers to prescribing smart technologies for older people should leverage the expertise of rehabilitation professionals operating at the interface between older people; their health/mobility; their families; and technology-based solutions.

Two decades of assistive technologies to empower people with disability: a systematic mapping study

PURPOSE

Information and Communication Technologies have transformed our lives in different social areas, facilitating interpersonal relationships thanks to technological tools. In the specific case of people with disabilities, Assistive Technologies (ATs) break down barriers and increase opportunities to become active members of society with equal opportunities.

MATERIALS AND METHODS

This paper presents a systematic mapping study that analyzes the current state-of-the-art of ATs proposed in the literature to support the empowering of people with disability. Specifically, this paper focuses on (1) describing a global vision of the scientific literature published in the last 20 years about ATs in the computer science field and (2) identifying research needs, gaps, and trends.

RESULTS

For this purpose, an in-depth analysis of 389 primary studies is presented. The information obtained from the mapping process is also constrained. Concretely, 35 ATs versus 22 disabilities are compared, obtaining striking peaks for some disabilities described in the discussion.

CONCLUSIONS

Finally, the findings show that several areas have been covered only lightly, revealing interesting future directions and challenges for junior researchers.

Existing Digital Health Technology Index Summary Report for Older Adults Living with Neurocognitive Disorders (Mild and Major) and Their Informal Caregivers: An Environmental Scan

Digital health has added numerous promising solutions to enhance the health and wellness of people with neurocognitive disorders (NCDs) and their informal caregivers. (1) Background: It is important to obtain a comprehensive view of currently available technologies, their outcomes, and conditions of success to inform recommendations regarding digital health solutions for people with NCDs and their caregivers. This environmental scan was performed to identify the features of existing digital health solutions relevant to the targeted population. This work reviews currently available digital health solutions and their related characteristics to develop a decision support tool for older adults living with mild or major neurocognitive disorders and their informal caregivers. This knowledge will aid the development of a decision support tool to assist older adults and their informal caregivers in their search for adequate digital health solutions according to their needs and preferences based on trustable information. (2) Methods: We conducted an environmental scan to identify digital health solutions from a systematic review and targeted searches in the grey literature covering the regions of Canada and Europe. Technological tools were scanned based on a preformatted extraction grid. We assessed their relevance based on selected attributes and summarized the findings. (3) Results: We identified 100 available digital health solutions. The majority (56%) were not specific to NCDs. Only 28% provided scientific evidence of their effectiveness. Remote patient care, movement tracking, and cognitive exercises were the most common purposes of digital health solutions. Most solutions were presented as decision aid tools, pill dispensers, apps, web, or a combination of these platforms. (4) Conclusions: This environmental scan allowed for identifying current digital health solutions for older adults with mild or major neurocognitive disorders and their informal caregivers. Findings from the environmental scan highlight the need for additional approaches to strengthen digital health interventions for the well-being of older adults with mild and major NCDs and their informal and formal healthcare providers.

Smartwatch-Based Interventions for People With Dementia: User-Centered Design Approach

BACKGROUND

Assistive technologies can help people living with dementia maintain their everyday activities. Nevertheless, there is a gap between the potential and use of these materials. Involving future users may help close this gap, but the impact on people with dementia is unclear.

OBJECTIVE

We aimed to determine if user-centered development of smartwatch-based interventions together with people with dementia is feasible. In addition, we evaluated the extent to which user feedback is plausible and therefore helpful for technological improvements.

METHODS

We examined the interactions between smartwatches and people with dementia or people with mild cognitive impairment. All participants were prompted to complete 2 tasks (drinking water and a specific cognitive task). Prompts were triggered using a smartphone as a remote control and were repeated up to 3 times if participants failed to complete a task. Overall, 50% (20/40) of the participants received regular prompts, and 50% (20/40) received intensive audiovisual prompts to perform everyday tasks. Participants' reactions were observed remotely via cameras. User feedback was captured via questionnaires, which included topics like usability, design, usefulness, and concerns. The internal consistency of the subscales was calculated. Plausibility was also checked using qualitative approaches.

RESULTS

Participants noted their preferences for particular functions and improvements. Patients struggled with rating using the Likert scale; therefore, we assisted them with completing the questionnaire. Usability (mean 78 out of 100, SD 15.22) and usefulness (mean 9 out of 12) were rated high. The smartwatch design was appealing to most participants (31/40, 76%). Only a few participants (6/40, 15%) were concerned about using the watch. Better usability was associated with better cognition. The observed success and self-rated task comprehension were in agreement for most participants (32/40, 80%). In different qualitative analyses, participants' responses were, in most cases, plausible. Only 8% (3/40) of the participants were completely unaware of their irregular task performance.

CONCLUSIONS

People with dementia can have positive experiences with smartwatches. Most people with dementia provided valuable information. Developing assistive technologies together with people with dementia can help to prioritize the future development of functional and nonfunctional features.

Exploring the usability, user experience and usefulness of a supportive website for people with dementia and carers

PURPOSE

This study explores the usability, usefulness and user experience of the Forward with Dementia website for people with dementia and family carers, and identifies strategies to improve web design for this population.

METHODS

The website was iteratively user-tested by 12 participants (five people with dementia, seven carers) using the Zoom platform. Data collection involved observations, semi-structured interviews and questionnaires. Integrative mixed-method data analysis was used, informed by inductive thematic qualitative analysis.

RESULTS

Users of Version 1 of the website experienced web functionality, navigation and legibility issues. Strategies for desirable web design were identified as simplifying functions, streamlining navigation and decluttering page layouts. Implementation of strategies produced improvements in usability, user experience and usefulness in Version 2, with mean System Usability Scale scores improving from 15 to 84, and mean task completion improving from 55% to 89%. The user journey for people with dementia and carers overlapped, but each group had their own unique needs in the context of web design.

CONCLUSIONS

The interplay between a website's content, functionality, navigation and legibility can profoundly influence user perceptions of a website. Dementia-related websites play an important role in informing audiences of management strategies, service availability and planning for the progression of dementia. Findings of this study may assist in guiding future web development targeting this population.

Smart home automation technology to support caring of individuals with Alzheimer's disease and related dementia: an early intervention framework

PURPOSE

Home automation technology comprising of Internet of Things and Smart gadgets is a rapidly growing industry that is projected to have a major scope for ageing-in-place and caregiving. This study examined the feasibility and cost-benefits of a personalized home automation intervention for care of individuals with Alzheimer's disease and related dementia (ADRD) with emphasis on their safety and independence, and reduction of care burden.

METHODS

A mixed method intervention study was conducted with five dyads each comprising of a caregiver and care recipient with ADRD. Each dyad received personalized home automation intervention with individualized goals centred on home safety, activity engagement, and caregiver-recipient connectivity. The goals were created and monitored using goal attainment scaling (GAS). The dyads were followed up after three months with a home visit and interview. Goal attainment scoring and thematic analysis of the interviews were conducted to examine the findings from the study.

RESULTS

All dyads indicated positive goal attainment between pre and post intervention. Goals that were met were complimented by the categories of peace of mind, self-efficacy, and care recipient engagement, while unmet goals as well as complexities with the technology were elucidated under challenges. Overarching and conceptually linked themes from the study were unfamiliarity, value, and timing.

CONCLUSION

Home automation technology has the potential to be adapted to promote independence and safety of individuals with ADRD while relieving care burden. Nonetheless, we propose an early intervention framework to overcome identified challenges and optimize the technology's usability and sustainability.IMPLICATIONS FOR REHABILITATIONHome automation involving Internet of Things and Smart gadgets has gained rapid popularity owing to the comfort and connectivity they provide to mainstream consumers.The technology has an emerging significance to ageing-in-place and care of individuals with Alzheimer's Disease and Related Dementia (ADRD) as it can be adapted and implemented to enhance home safety and activity engagement of the care recipients while also strengthening their connectivity with the caregivers.Unfamiliarity with the technology compounded by the progression of ADRD can, however, be detrimental to its adoption.Individualized focus and early integration of the technology for caregiver-care recipient dyads can mitigate these challenges and optimize its usability and long-term value in relation to ageing-in-place and caregiver wellbeing.

Patient and Public Involvement in Technology-Related Dementia Research: Scoping Review

BACKGROUND

Technology-related research on people with dementia and their carers often aims to enable people to remain living at home for longer and prevent unnecessary hospital admissions. To develop person-centered, effective, and ethical research, patient and public involvement (PPI) is necessary, although it may be perceived as more difficult with this cohort. With recent and rapid expansions in health and care-related technology, this review explored how and with what impact collaborations between researchers and stakeholders such as people with dementia and their carers have taken place.

OBJECTIVE

This review aims to describe approaches to PPI used to date in technology-related dementia research, along with the barriers and facilitators and impact of PPI in this area.

METHODS

A scoping review of literature related to dementia, technology, and PPI was conducted using MEDLINE, PsycINFO, Embase, and CINAHL. Papers were screened for inclusion by 2 authors. Data were then extracted using a predesigned data extraction table by the same 2 authors. A third author supported the resolution of any conflicts at each stage. Barriers to and facilitators of undertaking PPI were then examined and themed.

RESULTS

The search yielded 1694 papers, with 31 (1.83%) being analyzed after screening. Most (21/31, 68%) did not make clear distinctions between activities undertaken as PPI and those undertaken by research participants, and as such, their involvement did not fit easily into the National Institute for Health and Care Research definition of PPI. Most of this mixed involvement focused on reviewing or evaluating technology prototypes. A range of approaches were described, most typically using focus groups or co-design workshops. In total, 29% (9/31) described involvement at multiple stages throughout the research cycle, sometimes with evidence of sharing decision-making power. Some (23/31, 74%) commented on barriers to or facilitators of effective PPI. The challenges identified often regarded issues of working with people with significant cognitive impairments and pressures on time and resources. Where reported, the impact of PPI was largely reported as positive, including the experiences for patient and public partners, the impact on research quality, and the learning experience it provided for researchers. Only 4 (13%) papers used formal methods for evaluating impact.

CONCLUSIONS

Researchers often involve people with dementia and other stakeholders in technology research. At present, involvement is often limited in scope despite aspirations for high levels of involvement and partnership working. Involving people with dementia, their carers, and other stakeholders can have a positive impact on research, patient and public partners, and researchers. Wider reporting of methods and facilitative strategies along with more formalized methods for recording and reporting on meaningful impact would be helpful so that all those involved-researchers, patients, and other stakeholders-can learn how we can best conduct research together.

Cross-cultural perspectives on intelligent assistive technology in dementia care: comparing Israeli and German experts' attitudes

BACKGROUND

Despite the great benefits of intelligent assistive technology (IAT) for dementia care - for example, the enhanced safety and increased independence of people with dementia and their caregivers - its practical adoption is still limited. The social and ethical issues pertaining to IAT in dementia care, shaped by factors such as culture, may explain these limitations. However, most studies have focused on understanding these issues within one cultural setting only. Therefore, the aim of this study was to explore and compare the attitudes of Israeli and German dementia experts toward IAT in dementia care, to contribute to a more cultural-comparative perspective.

METHODS

Semi-structured interviews were conducted with 35 experts (15 Israelis and 20 Germans) in key roles in health and community services for people with dementia as well as in the fields of dementia and IAT (e.g., computer science, electrical/biomedical engineering, ethics, nursing, and gerontology). Thematic content analysis was used to analyze the data.

FINDINGS

Israeli and German experts identified the same social accelerators in the development and implementation of IAT in dementia care (i.e., changes in family structure and social digitization) and benefits of adopting IAT (e.g., enhancing the safety of people with dementia and increasing their independence). However, there were differences in inhibitor/risk assessments between the two groups. Namely, economic considerations and the cognitive capacity of people with dementia were identified by both groups as inhibitors, while Israeli experts additionally reported stigma and ageism. Whereas both groups agreed that IAT might reduce human connection, and that the technology is not yet reliable enough, German experts highlighted concerns regarding privacy; in contrast, Israeli experts prioritized safety over privacy.

CONCLUSIONS

Our research findings allow for the identification of relevant similarities but also important differences between German and Israeli experts' perspectives. As such, an important basis has been provided for a more in-depth discussion regarding where, why, and how culturally-sensitive technology development is needed.

Implementation of exergaming for people with dementia: facilitators, barriers, and recommendations

OBJECTIVES

To identify facilitators, barriers, and formulate recommendations for the implementation of exergames for people with dementia (PWD) in day-care centers (DCCs).

METHODS

Within a randomized controlled trial into the effectiveness of exergaming, 73 PWD with their informal caregivers (IC) from 11 DCCs in the Netherlands and two exergame providers participated in a process evaluation. This was a mixed-methods study using focus groups, semi-structured interviews, the Measurement Instrument for Determinants of Innovations, forms for DCC staff, and a short satisfaction questionnaire. We used descriptive statistics for the quantitative outcomes, and thematic analysis for qualitative data. The Medical Research Council guidance for process evaluation was used to identify facilitators and barriers to the implementation, mechanisms of impact, and context.

RESULTS

Implementation-related facilitators and barriers were the availability of budget, staff, equipment, instructions, location, and supervision. Mechanisms of impact-related facilitators were experienced positive effects on physical functioning and mobility, cognitive, emotional, and social functioning, and quality of life. Barriers were mainly linked to the need to customize the intervention for each participant. Contextual facilitators were support and enthusiasm from others; barriers were costs and planning. Recommendations by DCC staff involved technical support, instructions, responsibility, location, supervision, planning, and exergaming as a group or individually.

CONCLUSION

Users, IC, and staff positively valued exergaming. We found various facilitators and barriers leading to recommendations for successful implementation. We recommend further research into tailoring exergaming to specific users and contexts, and into usability and cost-effectiveness. This may contribute to further dissemination and implementation of exergaming for PWD.

Recruiting Persons With Dementia: A Systematic Review of Facilitators, Barriers, and Strategies

Study recruitment of persons with dementia is challenging. We aimed to assess facilitators, barriers, and strategies to identify and approach persons with dementia for recruitment to dementia care studies. We systematically searched MEDLINE/PubMed, CINAHL, Web of Science, and other sources (ORRCA [Online Resource for Research in Clinical triAls]; pertinent evidence syntheses; citation searching) and narratively summarised the results (PROSPERO CRD42022342600). Facilitators and barriers consisted of "characteristics of participants, researchers, clinical contact persons", "study characteristics", and "communication with participants". The highest number of participants were recruited by study information in electronic and print formats, as well as by networking and collaboration. Advertisements proved to be the most expensive way of recruitment. There is limited evidence on the impact of recruitment strategies to identify persons with dementia for recruitment to dementia care studies. Our analysis of facilitators and barriers may inform research teams in designing strategies to identify persons with dementia for recruitment purposes.

Can technology impact loneliness in dementia? A scoping review on the role of assistive technologies in delivering psychosocial interventions in long-term care

PURPOSE

We aimed to identify assistive technologies that are promising for addressing loneliness in people living with dementia in long-term care.

MATERIALS AND METHODS

A scoping review was conducted. EBSCO, PubMed, Cochrane Library, and ProQuest were searched from 2000 to 2020. The included studies were selected by three independent researchers and summarised, compared, and categorized according to technology type. Publications were eligible for inclusion when they reported on psychosocial interventions aiming to reduce loneliness and/or social isolation in people with dementia in long-term care settings.

RESULTS

Twenty-four papers were included (20 original research papers and four reviews). Most studies were conducted in Australia and Europe. The studies aimed to investigate two different types of assistive technology: social robots, and multimedia computer systems. Most studies focussed on behaviour, engagement, and mood as primary outcomes. Only one study directly aimed to alleviate loneliness.

CONCLUSIONS

Even though only one study addressed loneliness directly, it became clear that assistive technologies used to apply psychosocial interventions have the potential to impact loneliness in people with dementia in long-term care. However, it remains unclear why loneliness was not included as an outcome and how loneliness could become a key outcome in evaluating assistive technologies.IMPLICATIONS FOR REHABILITATIONLoneliness among older adults is associated with health risks, such as the development of dementia, depression, and increased mortality.Ambient Assisted Living (AAL) technologies have been studied to address loneliness for older adults; however people with dementia are often excluded from such studies.This diverse group of technologies is shown to have a promising impact on outcomes, such as social engagement, quality of life, and mood, but loneliness was studied less often.More research is needed to discover the potential of assistive technologies for people with dementia living in long-term care.

"It's Another Feather in My Hat"-Exploring Factors Influencing the Adoption of Apps With People Living With Dementia

INTRODUCTION

With the growing interest and availability of mobile applications (apps) for people living with dementia, it is desirable to have a broader insight into how technology adoption may be further improved. This paper aims to explore the factors influencing adoption of mobile applications for people living with dementia.

METHODS

The recruitment of participants was facilitated through a dementia advocacy group of people living with dementia. A focus group design was applied to elicit discussion and to explore divergent views on the topic. The data was analysed using thematic analysis.

FINDINGS

The 15 individuals who participated in this study comprised of seven women and eight men within the age range of 60-90 years. This study reports key findings pertaining to the views and experiences of using mobile apps. Data analysis revealed the following four distinct themes; (Theme 1: Living with dementia)-"That's the difficulty there even with apps or anything else." (Theme 2: Motivation)- "It makes me feel good. I feel a little with it [laughs], that its not all gone in there" (Theme 3: Fears and Concerns)- "Can somebody else get into your personal memories?" (Theme 4- Support)- "So it's important that we have that support". Together these themes encapsulate the most influential aspects, as highlighted by the participants influencing the acceptance and adoption of apps.

CONCLUSION

This paper explores the barriers and facilitators to app acceptance and adoption. This includes the importance of "feel good moments" and positive experiences, challenges associated with living with dementia, the importance of ongoing support, and security of the user's information. This study adds to what is already known by capturing the views and experiences of people living with dementia in relation to the factors influencing the adoption of apps.

Clinician experiences with using assistive technology in brain injury rehabilitation: a survey of clinician capability, attitudes, and barriers

BACKGROUND

The rise in assistive technology (AT) solutions to support people with an acquired brain injury (ABI) has warranted clinicians to build capability in assisting clients to select goal-centred AT. The study explored, amongst ABI clinicians, (a) capability, attitudes, and barriers with AT implementation, (b) age-related differences in technology self-efficacy and capability (c) strategies to support AT use in rehabilitation and (d) thematic analysis of AT-related experiences.

METHOD

Mixed methods design. Online survey circulated to ABI clinicians across New South Wales, Australia, comprising purpose-designed items as well as the Modified Computer Self-Efficacy Scale (MCSES; range 0-100).

RESULTS

Clinicians (n = 123) were evenly distributed across decadal age groups. The majority were female (90%, n = 111) and one-third were occupational therapists.Clinicians scored strongly on the MCSES (Mdn = 76, IQR = 19), with younger age groups significantly associated with higher scores (H[3] = 9.667, p = .022). Most clinicians (92%) were knowledgeable of mainstream technology for personal use, but over half (65%) reported insufficient knowledge of suitable AT for clients. Clinicians reported positive attitudes towards AT, however, time to research and develop proficiency with a range of AT was the primary barrier (81%).Thematic analysis suggested that whilst the ideal AT experience is client-motivated requiring multidisciplinary guidance, the clinician role and experience with AT is evolving, influenced by rapid technological advancement and extrinsic opportunities to access AT.

CONCLUSIONS

Whilst clinicians have positive attitudes towards AT, there is a gap in clinician implementation. There is need to support further resources to build clinician capability and access to AT.

AI-assisted ethics? considerations of AI simulation for the ethical assessment and design of assistive technologies

Current ethical debates on the use of artificial intelligence (AI) in healthcare treat AI as a product of technology in three ways. First, by assessing risks and potential benefits of currently developed AI-enabled products with ethical checklists; second, by proposing ex ante lists of ethical values seen as relevant for the design and development of assistive technology, and third, by promoting AI technology to use moral reasoning as part of the automation process. The dominance of these three perspectives in the discourse is demonstrated by a brief summary of the literature. Subsequently, we propose a fourth approach to AI, namely, as a methodological tool to assist ethical reflection. We provide a concept of an AI-simulation informed by three separate elements: 1) stochastic human behavior models based on behavioral data for simulating realistic settings, 2) qualitative empirical data on value statements regarding internal policy, and 3) visualization components that aid in understanding the impact of changes in these variables. The potential of this approach is to inform an interdisciplinary field about anticipated ethical challenges or ethical trade-offs in concrete settings and, hence, to spark a re-evaluation of design and implementation plans. This may be particularly useful for applications that deal with extremely complex values and behavior or with limitations on the communication resources of affected persons (e.g., persons with dementia care or for care of persons with cognitive impairment). Simulation does not replace ethical reflection but does allow for detailed, context-sensitive analysis during the design process and prior to implementation. Finally, we discuss the inherently quantitative methods of analysis afforded by stochastic simulations as well as the potential for ethical discussions and how simulations with AI can improve traditional forms of thought experiments and future-oriented technology assessment.

Assistive robotic systems in nursing care: a scoping review

BACKGROUND

The use of assistive robotic systems in care is intended to relieve nursing staff. Differentiated and literature-based findings on current application possibilities, technological developments and empirical findings are necessary to enable a goal-oriented and participatory development of assistive robotic systems of care. The aim of this review was to identify assistive robotic systems and their areas of application in nursing settings. Furthermore, an overview of existing social and nursing science findings from the research field of assistive robotic systems will be described.

METHODS

A systematic literature search was performed based on the JBI scoping review methodology. During the period from May to August 2020, the databases MEDLINE via PubMed, CINAHL, Cochrane Library, Web of Science, and IEEE Xplore Digital Library were searched. In order to reflect current developments and evidence in the present literature work, a supplementary search with these same requirements was conducted in January 2022.

RESULTS

The 47 included publications are divided into 15 studies, 23 technical articles and nine opinion-based articles (text-opinion). A total of 39 different assistive robotic systems were identified. There were 55% in the testing phase and 29% of the systems in the development phase. Assistive robotic systems can be divided into six fields of application: Information and patient data processing, assistance with activities of daily living, fetch and bring activities, telepresence and communication, monitoring, safety and navigation, and complex assistance systems. The description of the study findings is divided into "integration of technology and impact on practice" and "attitude and acceptance of elderly people towards assistive robotic systems".

CONCLUSION

The results of the research show that the use of assistive robotic systems in care mainly take place in the context of development and testing phases. In addition to usability and acceptance issues, implementation factors must be integrated into theory-driven research projects.

Preliminary Efficacy of Let's Talk Tech: Technology Use Planning for Dementia Care Dyads

Background and Objective

Care partners of people living with dementia require support to knowledgeably navigate decision making about how and when to use monitoring technologies for care purposes. We conducted a pilot study of a novel self-administered intervention, "Let's Talk Tech," for people living with mild dementia and their care partners. This paper presents preliminary efficacy findings of this intervention designed to educate and facilitate dyadic communication about a range of technologies used in dementia care and to document the preferences of the person living with dementia. It is the first-of-its-kind decision-making and planning tool with a specific focus on technology use.

Research Design and Methods

We used a 1-group pretest-post-test design and paired t tests to assess change over 2 time periods in measures of technology comprehension, care partner knowledge of the participant living with mild Alzheimer's disease's (AD) preferences, care partner preparedness to make decisions about technology use, and mutual understanding. Thematic analysis was conducted on postintervention interview transcripts to elucidate mechanisms and experiences with Let's Talk Tech.

Results

Twenty-nine mild AD dementia care dyads who live together completed the study. There was statistically significant improvement with medium and large effect sizes on outcome measures of care partners' understanding of each technology, care partners' perceptions of the person living with dementia's understanding of each technology, knowledge of the person living with dementia's preferences, decision-making preparedness, and care partners' feelings of mutual understanding. Participants reported that it helped them have important and meaningful conversations about using technology.

Discussion and Implications

Let's Talk Tech demonstrated promising preliminary efficacy on targeted measures that can lead to informed, shared decision making about technologies used in dementia care. Future studies should assess efficacy with larger samples and more diverse sample populations in terms of race, ethnicity, and dementia type.

[Artificial intelligence and ethics in healthcare-balancing act or symbiosis?]

Artificial intelligence (AI) is becoming increasingly important in healthcare. This development triggers serious concerns that can be summarized by six major "worst-case scenarios". From AI spreading disinformation and propaganda, to a potential new arms race between major powers, to a possible rule of algorithms ("algocracy") based on biased gatekeeper intelligence, the real dangers of an uncontrolled development of AI are by no means to be underestimated, especially in the health sector. However, fear of AI could cause humanity to miss the opportunity to positively shape the development of our society together with an AI that is friendly to us.Use cases in healthcare play a primary role in this discussion, as both the risks and the opportunities of new AI-based systems become particularly clear here. For example, would older people with dementia (PWD) be allowed to entrust aspects of their autonomy to AI-based assistance systems so that they may continue to independently manage other aspects of their daily lives? In this paper, we argue that the classic balancing act between the dangers and opportunities of AI in healthcare can be at least partially overcome by taking a long-term ethical approach toward a symbiotic relationship between humans and AI. We exemplify this approach by showcasing our I‑CARE system, an AI-based recommendation system for tertiary prevention of dementia. This system has been in development since 2015 as the I‑CARE Project at the University of Bremen, where it is still being researched today.

Artificial intelligence in elderly healthcare: A scoping review

The ageing population has led to a surge in the adoption of artificial intelligence (AI) technologies in elderly healthcare worldwide. However, in the advancement of AI technologies, there is currently a lack of clarity about the types and roles of AI technologies in elderly healthcare. This scoping review aimed to provide a comprehensive overview of AI technologies in elderly healthcare by exploring the types of AI technologies employed, and identifying their roles in elderly healthcare based on existing studies. A total of 10 databases were searched for this review, from January 1 2000 to July 31 2022. Based on the inclusion criteria, 105 studies were included. The AI devices utilized in elderly healthcare were summarised as robots, exoskeleton devices, intelligent homes, AI-enabled health smart applications and wearables, voice-activated devices, and virtual reality. Five roles of AI technologies were identified: rehabilitation therapists, emotional supporters, social facilitators, supervisors, and cognitive promoters. Results showed that the impact of AI technologies on elderly healthcare is promising and that AI technologies are capable of satisfying the unmet care needs of older adults and demonstrating great potential in its further development in this area. More well-designed randomised controlled trials are needed in the future to validate the roles of AI technologies in elderly healthcare.

A review of the factors influencing adoption of digital health applications for people living with dementia

Objective

Researchers have used various theories and models to understand technology adoption, however, with the growing interest and availability of mobile applications (apps) for people living with dementia, it is desirable to have a broader insight into how technology adoption may be further improved. This paper aims to explore the factors influencing the adoption of digital health applications for people living with dementia and add to the current literature on this topic.

Methods

Searches were conducted in CINHAL, Web of Science, Psych Info, ProQuest Health and Medical, IEEE Xplore and Scopus. Citation searching and handsearching were used in the identification of other studies.

Results

Following an assessment of relevancy, nine studies remained and are included within this review. Methodological quality was assessed using The Mixed Methods Appraisal Tool (MMAT). A thematic analysis was used for the data synthesis of included studies. Each study reported on different types of apps.

Conclusion

From the synthesis of included studies, four analytic themes were identified; Theme 1: Personal and contextual factors; Theme 2: Perceived value and benefit; Theme 3: Design and content of app; and Theme 4: Digital Literacy and Confidence. People are diverse and so are their reasons for the adoption of apps. These findings provide an insight into the range of factors that impact the adoption of apps for people living with dementia. Understanding the factors that impact the adoption of mobile applications is critical to their success. These findings can be beneficial for app developers and for people living with dementia and their carers.

A Review of Commercial and Non-Commercial Wearables Devices for Monitoring Motor Impairments Caused by Neurodegenerative Diseases

Neurodegenerative diseases (NDDs) are among the 10 causes of death worldwide. The effects of NDDs, including irreversible motor impairments, have an impact not only on patients themselves but also on their families and social environments. One strategy to mitigate the pain of NDDs is to early identify and remotely monitor related motor impairments using wearable devices. Technological progress has contributed to reducing the hardware complexity of mobile devices while simultaneously improving their efficiency in terms of data collection and processing and energy consumption. However, perhaps the greatest challenges of current mobile devices are to successfully manage the security and privacy of patient medical data and maintain reasonable costs with respect to the traditional patient consultation scheme. In this work, we conclude: (1) Falls are most monitored for Parkinson's disease, while tremors predominate in epilepsy and Alzheimer's disease. These findings will provide guidance for wearable device manufacturers to strengthen areas of opportunity that need to be addressed, and (2) Of the total universe of commercial wearables devices that are available on the market, only a few have FDA approval, which means that there is a large number of devices that do not safeguard the integrity of the users who use them.

Study protocol for the implementation and evaluation of a digital-robotic-based intervention for nurses and patients in a hospital: a quantitative and qualitative triangulation based on the Medical Research Council (MRC) framework for developing and evaluating complex interventions

BACKGROUND

Nurses spend part of their working time on non-nursing tasks. Unnecessary walking distances and the assumption of service activities and other non-care-related tasks take up a lot of space, which reduces the time for direct patient care and demonstrably increases the dissatisfaction of the persons involved. The REsPonSe project aims to relieve nursing staff by using a smartphone app for communication in combination with an autonomous service robot to reduce walking distances and service activities. The technical systems are tested on a nuclear medicine ward and are intended to reduce the radiation exposure of the staff. The aim of this study is to test and evaluate the use and intervention of the technical systems, the acceptance of the users and the change in the utilisation of the nursing service. In addition to findings on usability and manageability, effects on nursing practice, as well as facilitating and inhibiting contextual factors for implementation, will be identified.

METHODS

The Medical Research Council (MRC) Framework for Developing and Evaluating for Complex Interventions was chosen as the theoretical basis. The data collection in the Feasibility and Evaluation phase is a triangulation of quantitative and qualitative methods. Standardised observations are planned to collect data on non-care activities and walking distances, and a survey of utilisation by use of a questionnaire based on the NASA TLX. Qualitative individual interviews with patients and group discussions with nursing staff will be conducted. Statements on the subjective experiences, as well as the evaluation of the use of the digital-robotic system in the clinical setting, will be collected. The descriptive evaluation of the usage and retrieval data will provide information on duration, time, requests, and reduced contact times, as well as error and fault messages.

DISCUSSION

The evaluation study will make it possible to represent a variety of perspectives from different interest groups. The results should contribute to the definition of implementation and evaluation criteria and facilitate the integration of digital-robotic assistance systems in nursing acute inpatient settings.

TRIAL REGISTRATION

The trial was registered with the German Clinical Trials Register (DRKS) on 16.02.2022: DRKS00028127.

Ethical issues of smart home-based elderly care: A scoping review

AIM

To explore current research on the ethics of smart home technologies including artificial intelligence and information technologies for elderly care by conducting a scoping review.

BACKGROUND

The development of smart home technologies for care of the older adults provides potential solutions to reduce the caregiver burden within families where they are urgently needed. Building an ethical system to support the application of these technical products should be explored.

METHODS

The literature search was performed in seven electronic databases. Relevant studies from January 2015 to February 2021 were selected; screening and analysis were completed independently by two researchers.

RESULTS

There were a total of 15 included studies on the ethics of smart home technologies for elderly care, which focused on the following issues: privacy (information privacy and physical privacy), autonomy (independence, informed consent and user-centred control), safety guarantee, fairness and concerns about reduced human contact.

CONCLUSIONS

There exist a number of ethical conflicts in the application of smart home technologies for elderly care. Therefore, it is necessary to further investigate the ethical issues with regards to the decision-making process of weighing the advantages and disadvantages of these technologies.

IMPLICATIONS FOR NURSING MANAGEMENT

Efforts should be made to establish a corresponding ethical framework to ensure the sustainable development of smart, home-based elderly care. Nurses may play an important role in the design and implementation of these technologies to promote ethical awareness and practice.

Partnering with people living with dementia and care partners in technology research and design: Reflections and recommendations

INTRODUCTION

Occupational therapists may recommend and support technology use for facilitating independence, safety, wellbeing, and participation. There are high expectations for technology for people living with dementia. However, there is recognition that technologies will need to improve to deliver these expected benefits. People living with dementia have historically been excluded from direct involvement in research and design. A program of participatory research was undertaken to codesign technologies and technology research with people living with dementia and care partners. This work aims to capture the requirements, actions, and barriers experienced in forming these partnerships in technology research and design.

METHODS

A shared metareflection of experiences was conducted by members (5) of the research teams involved in three participatory research and technology design studies. The team comprising living experience experts, an occupational therapist, and interaction designer reflected on their experiences and derived recommendations. Key considerations for effective partnerships were drawn inductively by the authors from study experiences, materials, and reflexive discussion.

FINDINGS

Six core areas were identified. These were four action areas-(1) Agree on the value; (2) The time to start partnering is now; (3) Ask not assume; and (4) Push back on 'we always have'-(5) barriers and tensions, and (6) unexpected benefits. The reflections indicated that genuine partnerships and engagements were possible with living experience experts in research and design teams. These required resourcing and focussed actions to promote partnership. Despite some structural changes that encourage partnering, there are considerable barriers to this engagement; however, benefits beyond the expected ones can be realised.

CONCLUSION

Genuine partnerships in technology research and design with living experience experts are possible and lead to benefits for the team, research outcomes, and technologies. Recommended actions could support expansion of effective partnerships with people living with dementia and care partners as well as other partnerships in research.

Tea, Technology and Me: a World Café approach to engage people with dementia and their carers about research priorities and policy development in digital technology and artificial intelligence

Digital technology and artificial intelligence (AI) use in health care is increasing, and it potentially offers significant patient benefit, such as independence, improved care and health care at home. Workforce benefits are apparent, for example, releasing time to see patients. However, are ethical and moral dilemmas of such technologies sufficiently unpacked by patients and understood by clinicians? A person living with dementia, and carers of people with dementia, alongside academics and clinicians, designed a public engagement World Café event for 20 people living with dementia and their carers. This process is described, as are reflections on a World Café approach to generate knowledge on a lesser explored topic. Working with a graphic recorder at the event proved a dynamic and engaging way of visually displaying feedback, served as an aide memoire and generated further discussion. Three feedback themes are highlighted: (1) trust; (2) continuity of care; and (3) support and independence. The event’s subsequent evaluation and impact, including a presentation to the House of Lords All-Party Parliamentary Group on Artificial Intelligence, are described. In conclusion, a suitable World Café approach enables people with dementia and their carers to voice exceptionally useful insights into a topic that already affects, or is very likely to, affect them.

Digital care technologies in people with dementia living in long-term care facilities to prevent falls and manage behavioural and psychological symptoms of dementia: a systematic review

Fall prevention and management of behavioural and psychological symptoms of dementia (BPSD) in long-term care (LTC) facility is a major challenge. The objective of this systematic review is to assess the evidence of digital technology in their management. All studies of English-language excluding case-reports were eligible for review. Databases chosen were MEDLINE, EMBASE, Scopus, Web of Science and PSYCINFO from January 2000 to June 2020. Downs and Black checklist was used to check for risk of bias. Papers with a focus in LTC setting, using digital technology as intervention for older adults with dementia, and with measurable outcomes (outcomes that are quantified, not descriptive) were included in the final review. Seventeen original papers (8 RCTs, 8 quasi-experimental and 1 mixed method) were included. Three articles examining position-sensor technology for fall prevention showed mixed results. Two showed no difference and 1 showed small reduction in fall after alarm removal but the positive effect might be due to bias. Overall, the sample sizes were too small to draw meaningful conclusion. Fourteen studies (9 pet robots of which 8 were robotic seal/PARO) were identified for BPSD and results were mixed. Overall, PARO might have modest benefit in BPSD compared to usual care but might be no better than plush toy with more hallucinations or delusions seen in advanced dementia. However, the significant heterogeneity in methodology (intervention intensity, lack of record in psychoactive drug use), clinical tools used (different BPSD scales, different digital technologies) and variability in outcomes made it difficult to draw clear-cut conclusion. Studies involving other digital technologies are scarce and in pilot phases; hence, conclusion is premature. One limitation of the review was that only 9 out of 17 studies were of good quality. The limited research work in position-sensors meant insufficient evidence to prove efficacy for their use in LTC setting. The possible modest benefit of PARO in BPSD (e.g. in agitation, apathy or reduction in psychoactive drugs) was off-set by possible adverse events such as delusions or hallucinations in advanced dementia.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10433-021-00627-5.

Determinants of technology adoption and continued use among cognitively impaired older adults: a qualitative study

Background

Technology offers opportunities to support older adults with mild cognitive impairments to remain independent and socially connected, but is often not used. Although determinants of technology use among older adults in general are well studied, much less is known about how these factors impact technology use behaviour in cognitively impaired older adults. This study aimed to bridge this gap in research by examining the factors underlying technology use in community-dwelling older adults with mild cognitive impairments.

Methods

We applied a generic qualitative design and used 16 semi-structured interviews to collect data from Belgian (Flemish) community-dwelling older adults diagnosed with Mild Cognitive Impairment or dementia and informal caregivers. To get data from different perspectives, a focus group with professional caregivers was added. We used thematic analysis with an inductive approach to identify and select themes from the data.

Results

We identified two themes: introduction of technology and determinants of technology adoption and continued use. Successful technology adoption in cognitively impaired older adults is need-driven and subject to individual, technological and contextual characteristics. Specific for older adults with cognitive impairments are the importance of disease awareness and cognitive ability for adoption and continued use, respectively. Although social support can be a valuable alternative to technology, it is an important facilitator of continued technology use in these older adults. Similarly, integration of technologies in daily routines can buffer discontinuation of technologies.

Conclusions

Future research is encouraged to validate our findings in a postpandemic era and to further develop a novel theoretical framework for technology acceptance among older adults with cognitive impairments. Moreover, identification of crucial determinants as well as strategies to remove use barriers are also important future research tasks. Clinical practice should focus on improving disease awareness to facilitate technology adoption and policies should invest in training and support of professional caregivers and in reimbursement strategies to facilitate implementation of technology in practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03048-w.

Personal and complex: The needs and experiences related to technology use for people living with dementia

BACKGROUND

With increasing focus on living well with dementia, technology has been identified as having potential benefits for safety, independence and wellbeing. Despite a large growth in specialised technology development, there has been limited uptake. There is a need to understand the current use and needs related to technology for people living with dementia and their care partners (informal carers).

METHODS

As part of a participatory design study, a qualitative inquiry into technology experiences and needs was undertaken within an interpretive description approach. A cross-disciplinary team including living experience experts (people living with dementia, unpaid care partners) was involved. Semi-structured interviews, including sharing technology locations and supports, were conducted, audio-recorded and transcribed. Key aspects of the technology use experience were constructed.

FINDINGS

Thirteen people living with dementia and 21 care partners participated in the study. Two core aspects of technology use were identified: Lots of moving parts: the complex context, and A technology cycle: the use and non-use. The findings indicated that the context involved an individual configuration of multiple factors including the user, their technology identity, their supporters, the technology and the environment. The experience is underpinned by shifting foundations created by constantly changing technologies and user characteristics. The cycle of use and non-use identified the processes required to maintain technology engagement.

CONCLUSION

The use of technology for people living with dementia is complex and personal. Future technology development, policies and practices need to consider this complexity and the effort required to keep using technology to realise the benefits.

SAR-Connect: A Socially Assistive Robotic System to Support Activity and Social Engagement of Older Adults

Multi-domain activities that incorporate physical, cognitive, and social stimuli can enhance older adults' overall health and quality of life. Several robotic platforms have been developed to provide these therapies in a quantifiable manner to complement healthcare personnel in resource-strapped long-term care settings. However, these platforms are primarily limited to one-to-one human robot interaction (HRI) and thus do not enhance social interaction. In this paper, we present a novel HRI framework and a realized platform called SAR-Connect to foster robot-mediated social interaction among older adults through carefully designed tasks that also incorporate physical and cognitive stimuli. SAR-Connect seamlessly integrates a humanoid robot with a virtual reality-based activity platform and a multimodal data acquisition module including game interaction, audio, visual and electroencephalography responses of the participants. Results from a laboratory-based user study with older adults indicates the potential of SAR-Connect that showed this system could 1) involve one or multiple older adults to perform multi-domain activities and provide dynamic guidance, 2) engage them in the robot-mediated task and foster human-human interaction, and 3) quantify their social and activity engagement from multiple sensory modalities.

User experience and acceptance of a device assisting persons with dementia in daily life: a multicenter field study

Background

Assistive technologies have the potential to facilitate everyday life of people with dementia and their families. Close collaboration with affected people and interdisciplinary research are essential to understand and address the needs of prospective users. In this study, we present the results of the evaluation of such an assistive system prototype.

Aims

Challenges from the patient and caregiver side, technical and design problems and acceptance and usability with regard to our special target group were evaluated.

Methods

MEMENTO, a system of two e-ink tablets and a smartwatch, was tested in the domestic environment of dementia patients. Thirty participants from Italy, Spain and Austria took part in a 3-month field trial and compared the MEMENTO system to traditional strategies in everyday life. Quantitative and qualitative data were collected and frequency of use of the system was monitored.

Results

There were no significant changes in quantitative measurements, such as activities of daily living and caregiver burden over the duration of the 3-month field trial. More frequent usage was significantly correlated with positive attitude towards technology (r = 0.723, p < 0.05), but not with age. The design of the system was positively emphasized, reducing fear of the technology on the one hand and stigmatization on the other.

Conclusion

We show that a positive attitude towards technology is the essential variable for successful implementation of such systems, regardless of age. Participants showed great interest in digital solutions and agreed that technological systems will help in maintaining independency of persons with cognitive dysfunction in the future.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40520-021-02013-8.

Automatic sleep staging of EEG signals: recent development, challenges, and future directions

Modern deep learning holds a great potential to transform clinical practice on human sleep. Teaching a machine to carry out routine tasks would be a tremendous reduction in workload for clinicians. Sleep staging, a fundamental step in sleep practice, is a suitable task for this and will be the focus in this article. Recently, automatic sleep staging systems have been trained to mimic manual scoring, leading to similar performance to human sleep experts, at least on scoring of healthy subjects. Despite tremendous progress, we have not seen automatic sleep scoring adopted widely in clinical environments. This review aims to give a shared view of the authors on the most recent state-of-the-art development in automatic sleep staging, the challenges that still need to be addressed, and the future directions for automatic sleep scoring to achieve clinical value.

Technology implementation in care practices for community-dwelling older adults with mild cognitive decline: Perspectives of professional caregivers in Quebec and Brussels

OBJECTIVE

As worldwide population aging is accelerating, innovative technologies are being developed to support independent living among community-dwelling older adults with mild cognitive decline. However, the successful implementation of these interventions is often challenging. Until now, literature on implementation issues related to the specific context of older adults with mild cognitive decline is lacking and the few studies available do not focus specifically on the perspective of professional caregivers. Yet the perspective of these caregivers is important as they can be considered a key facilitator for technology implementation among this population. Therefore, this study was the first to examine technology implementation among community-dwelling older adults with mild cognitive decline from the broader perspective of professional caregivers.

METHODS

In this qualitative study, two focus groups consisting of a heterogeneous pool of professional caregivers were conducted: one in Quebec (Canada, n = 6) and one in Brussels (Belgium, n = 8). Braun and Clarke' method for thematic analysis, guided by a qualitative descriptive approach was applied to inductively identify themes from the data.

RESULTS

We identified factors influencing technology implementation in older adults with mild cognitive decline on three levels: an individual level (e.g., characteristics of older adults with mild cognitive decline and professional caregivers' attitude), an organizational level (e.g., lack of training among professional caregivers) and a level referring to the broader context (e.g., ethical considerations).

CONCLUSIONS

This study contributes to the research gap in knowledge on the needs of professional caregivers to facilitate technology implementation among the population of older adults with cognitive decline. Future directions for research, practice, and policy are given, more specifically to improve knowledge among caregivers and on the development of decision support to retrieve safe and effective technologies that suit patient-centered care.

Remind Me To Remember: A pilot study of a novel smartphone reminder application for older adults with dementia and mild cognitive impairment

The SmartPrompt is a smartphone-based reminder application informed by a neuropsychological model of functional disability. This laboratory-based pilot study examined the SmartPrompt feasibility, efficacy, and subjective usability using a within-participant, counterbalanced, cross-over design. Ten participants (M age = 80.3 + 8.2; M education = 15.7 + 2.5; 60% female) with mild cognitive impairment or mild dementia completed the Remember to Drink Test, which required preparing a glass of water at four predetermined times, in a SmartPrompt (SP) and Unprompted condition (UP). Written cues and a clock were available in both conditions; however, in the SP, the smartphone presented auditory alarms and visual reminders to obtain the water at specified times and required photo logging. In a separate session, caregivers were trained and tested on configuring the SmartPrompt. Overall, caregivers and participants learned to effectively use the SmartPrompt. Caregivers achieved near-perfect scores on the configuration quiz and responded well to training. Participants completed significantly more Remember to Drink tasks in the SP (93%) than UP (56%); checking the cues/clock decreased by 87% in the SP. Usability ratings were excellent among caregivers and fair among participants. Results indicate that the SmartPrompt holds promise for reducing functional disability in older adults with cognitive difficulties in at-home contexts.

The patients' and caregivers' perspective: In-hospital navigation aids for people with dementia- a qualitative study with a value sensitive design approach

People with dementia (PwD) have serious difficulties orienting themselves in a hospital environment. In this qualitative study, we asked PwD and their informal caregivers about requirements for assistive technology when navigating in inpatient care settings. We aimed to provide user-centred recommendations for the development of an in-hospital navigation aid following a value sensitive design approach. We conducted semi-structured interviews with two stakeholder groups as potential future users of in-hospital navigation aids: PwD (n = 10, agemean = 83.9 years, MMSEmean = 21.2) and informal caregivers (n = 10, agemean = 75.9 years). The interviews were evaluated using qualitative content analysis in a multistage process involving six members of a self-help group for relatives of PwD as co-researchers. Independence and relief/respite were the most important values regarding assistive technology for PwD. Informal caregivers attributed greatest importance to safety and relief/respite. The underlying values of these stakeholder groups contribute to recommendations for designing new assistive technologies for patient-centred in-patient care: Assistive technology needs to overcome age- and disease-related limitations, and the resulting individual risks, while providing subsidiary assistance to maintain the desired independence of PwD for as long as possible.

Investigating socially assistive systems from system design and evaluation: a systematic review

Purpose The development of assistive technologies that support people in social interactions has attracted increased attention in HCI. This paper presents a systematic review of studies of Socially Assistive Systems targeted at older adults and people with disabilities. The purpose is threefold: (1) Characterizing related assistive systems with a special focus on the system design, primarily including HCI technologies used and user-involvement approach taken; (2) Examining their ways of system evaluation; (3) Reflecting on insights for future design research. Methods A systematic literature search was conducted using the keywords "social interactions" and "assistive technologies" within the following databases: Scopus, Web of Science, ACM, Science Direct, PubMed, and IEEE Xplore. Results Sixty-five papers met the inclusion criteria and were further analyzed. Our results showed that there were 11 types of HCI technologies that supported social interactions for target users. The most common was cognitive and meaning understanding technologies, often applied with wearable devices for compensating users' sensory loss; 33.85% of studies involved end-users and stakeholders in the design phase; Four types of evaluation methods were identified. The majority of studies adopted laboratory experiments to measure user-system interaction and system validation. Proxy users were used in system evaluation, especially in initial experiments; 42.46% of evaluations were conducted in field settings, primarily including the participants' own homes and institutions. Conclusion We contribute an overview of Socially Assistive Systems that support social interactions for older adults and people with disabilities, as well as illustrate emerging technologies and research opportunities for future work.

Digital Mental Health for Young People: A Scoping Review of Ethical Promises and Challenges

Mental health disorders are complex disorders of the nervous system characterized by a behavioral or mental pattern that causes significant distress or impairment of personal functioning. Mental illness is of particular concern for younger people. The WHO estimates that around 20% of the world's children and adolescents have a mental health condition, a rate that is almost double compared to the general population. One approach toward mitigating the medical and socio-economic effects of mental health disorders is leveraging the power of digital health technology to deploy assistive, preventative, and therapeutic solutions for people in need. We define “digital mental health” as any application of digital health technology for mental health assessment, support, prevention, and treatment. However, there is only limited evidence that digital mental health tools can be successfully implemented in clinical settings. Authors have pointed to a lack of technical and medical standards for digital mental health apps, personalized neurotechnology, and assistive cognitive technology as a possible cause of suboptimal adoption and implementation in the clinical setting. Further, ethical concerns have been raised related to insufficient effectiveness, lack of adequate clinical validation, and user-centered design as well as data privacy vulnerabilities of current digital mental health products. The aim of this paper is to report on a scoping review we conducted to capture and synthesize the growing literature on the promises and ethical challenges of digital mental health for young people aged 0–25. This review seeks to survey the scope and focus of the relevant literature, identify major benefits and opportunities of ethical significance (e.g., reducing suffering and improving well-being), and provide a comprehensive mapping of the emerging ethical challenges. Our findings provide a comprehensive synthesis of the current literature and offer a detailed informative basis for any stakeholder involved in the development, deployment, and management of ethically-aligned digital mental health solutions for young people.

[Options for using assistive technologies for people with dementia in Switzerland: a qualitative interview study with experts]

BACKGROUND

To overcome challenges in dementia care, technological concepts are considered to have a potential. It is unclear, however, how utilization of assistive technologies in Switzerland could look like and which specific potentials it may offer. Therefore, the aim of the present study is to elaborate options for using assistive technologies in dementia care on the basis of the opinion, experience and knowledge of experts.

METHODS

We chose a qualitative study design. Thematic analysis served to evaluate the expert interviews. To report this study, we followed the Standards for Reporting Qualitative Research (SRQR).

RESULTS

Between November 2018 and May 2019, we interviewed 15 experts. The analysis resulted in three themes, each with three sub-themes: (i) use and potentials of technologies (support in the home care network, promoting a sense of security, facilitating and preserving interaction), (ii) requirements for using technology (structural framework conditions, enhancing quality of life and care, considering individual needs and health situation), and (ii) ethical considerations and technical assets (security and freedom, side effects of telepresence care, caveats and technological optimism).

CONCLUSIONS

To exploit the identified potentials of assistive technologies for people with dementia, it is necessary to fulfil the requirements on a structural level in nursing policy, education and clinical practice. Furthermore, assistive technologies should be applied that have demonstrated effectiveness without unwanted effects. The decision to use assistive technologies should be made on an individual basis. Accordingly, the use of assistive technologies should take into account the needs of the persons involved and be adapted to the state of health of people with dementia.

Factors Influencing Implementation of eHealth Technologies to Support Informal Dementia Care: Umbrella Review

Background

The worldwide increase in community-dwelling people with dementia underscores the need for innovative eHealth technologies that aim to provide support to both patients and their informal caregivers in the home setting. However, sustainable implementation of eHealth technologies within this target group can be difficult.

Objective

The goal of this study was to gain a thorough understanding of why it is often difficult to implement eHealth technologies in practice, even though numerous technologies are designed to support people with dementia and their informal caregivers at home. In particular, our study aimed to (1) provide an overview of technologies that have been used and studied in the context of informal dementia care and (2) explore factors influencing the implementation of these technologies.

Methods

Following an umbrella review design, five different databases were searched (PubMed, PsycINFO, Medline, Scopus, and Cochrane) for (systematic) reviews. Among 2205 reviews retrieved, 21 were included in our analysis based on our screening and selection procedure. A combination of deductive and inductive thematic analyses was performed, using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) framework for organizing the findings.

Results

We identified technologies designed to be used “by informal caregivers,” “by people with dementia,” and “with people with dementia.” Within those groups, most of the represented technologies included, respectively: (i) devices for in-home monitoring of lifestyle, health, and safety; (ii) technologies for supporting memory, orientation, and day structure; and (iii) technologies to facilitate communication between the informal caregiver and person with dementia. Most of the identified factors influencing implementation related to the condition of dementia, characteristics of the technology, expected/perceived value of users, and characteristics of the informal caregiver. Considerably less information has been reported on factors related to the implementing organization and technology supplier, wider institutional and sociocultural context of policy and regulations, and continued adaptation of technology over time.

Conclusions

Our study offers a comprehensive overview of eHealth technologies in the context of informal dementia care and contributes to gaining a better understanding of a broad range of factors influencing their implementation. Our results uncovered a knowledge gap regarding success factors for implementation related to the organizational and broader context and continuous adaptation over the long term. Although future research is needed, the current findings can help researchers and stakeholders in improving the development and implementation of eHealth technologies to support informal dementia care.

The Effectiveness of e-Health Solutions for Aging With Cognitive Impairment: A Systematic Review

Background and Objectives

e-Health solutions are an innovative approach to support aging with cognitive impairment. Because technology is developing at a fast pace, the aim of this review was to present an overview of the research regarding the effectiveness of these solutions. Moreover, the availability of these solutions was examined.

Research Design and Methods

Systematic searches were conducted in 7 databases. Full texts of potentially relevant references were assessed by 2 reviewers, and discrepancies were solved through discussion. Data on study characteristics, technology type, application domain, availability, outcomes, and effects were extracted. A categorization exercise and narrative synthesis were conducted.

Results

In total, 72 studies describing 70 e-Health solutions were identified. The majority of solutions comprised cognitive training for older adults, followed by educational and supportive web platforms for caregivers. Outcomes included mainly measures of cognition, psychosocial functioning, caregiving processes, caregiver–care receiver relationship, and activities of daily living. Positive effects of cognitive training technologies were observed on cognitive functioning of older adults, as well as those of supportive web platforms on behavioral and psychological symptoms of dementia and caregiver self-efficacy. The effects of these solutions on depression in both target groups were inconclusive. The methodological quality of the studies was moderate to good. However, some important limitations were observed.

Discussion and Implications

The review identified cognitive training solutions and supportive web platforms as the most effective on a limited number of outcomes. Although other solutions seem promising, further research has to overcome methodological issues. Furthermore, solutions for leisure and reminiscence and outcomes specifically related to independent living deserve more attention.

EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications

Brain-Computer interfaces (BCIs) enhance the capability of human brain activities to interact with the environment. Recent advancements in technology and machine learning algorithms have increased interest in electroencephalographic (EEG)-based BCI applications. EEG-based intelligent BCI systems can facilitate continuous monitoring of fluctuations in human cognitive states under monotonous tasks, which is both beneficial for people in need of healthcare support and general researchers in different domain areas. In this review, we survey the recent literature on EEG signal sensing technologies and computational intelligence approaches in BCI applications, compensating for the gaps in the systematic summary of the past five years. Specifically, we first review the current status of BCI and signal sensing technologies for collecting reliable EEG signals. Then, we demonstrate state-of-the-art computational intelligence techniques, including fuzzy models and transfer learning in machine learning and deep learning algorithms, to detect, monitor, and maintain human cognitive states and task performance in prevalent applications. Finally, we present a couple of innovative BCI-inspired healthcare applications and discuss future research directions in EEG-based BCI research.

Rehabilitation in Dementia

Dementia is an eurodegenerative disorder, which causes significant disability, especially among the elderly population worldwide. The affected person shows a progressive cognitive decline, which interferes with the independence in performing the activities of daily living. Other than the cognitive domain, the patient tends to have neuropsychiatric, behavioral, sensorimotor, speech, and language-related issues. It is expected that the global burden of the disease will rise with more people entering the geriatric age group. By 2050 close, to 140 million people will be living with one or the other type of dementia. Alzheimer's disease contributes to more than 60% of cases worldwide, followed by vascular dementia. Pharmacotherapy has a limited role to play in the treatment, and at present, no drug is available, which can halt or reverse the progress of the disease. World Health Organization has mandated rehabilitation as a core recommendation in the global action plan on the public health response to dementia. Rehabilitation services are widely recognized as a practical framework to maximize independence and community participation in dementia care. The rehabilitation program is customized to achieve the desired goals, as each person has different experiences, preferences, motivations, strengths, and requirements based on type, course, and severity of the illness. It is an interdisciplinary-team approach with the involvement of several health care professionals. This article reviews the existing literature and outlines the effective rehabilitation strategies concisely in dementia care.

Voice-enabled Intelligent Virtual Agents for People with Amnesia: Systematic Review (Preprint)

Background

Objective

Methods

Results

Conclusions

State-of-the-Art Sensors for Remote Care of People with Dementia during a Pandemic: A Systematic Review

In the last decade, there has been a significant increase in the number of people diagnosed with dementia. With diminishing public health and social care resources, there is substantial need for assistive technology-based devices that support independent living. However, existing devices may not fully meet these needs due to fears and uncertainties about their use, educational support, and finances. Further challenges have been created by COVID-19 and the need for improved safety and security. We have performed a systematic review by exploring several databases describing assistive technologies for dementia and identifying relevant publications for this review. We found there is significant need for appropriate user testing of such devices and have highlighted certifying bodies for this purpose. Given the safety measures imposed by the COVID-19 pandemic, this review identifies the benefits and challenges of existing assistive technologies for people living with dementia and their caregivers. It also provides suggestions for future research in these areas.

Digital health interventions for healthy ageing: a qualitative user evaluation and ethical assessment

Background

Digital health technologies are being increasingly developed with the aim of allowing older adults to maintain functional independence throughout the old age, a process known as healthy ageing. Such digital health technologies for healthy ageing are expected to mitigate the socio-economic effects of population ageing and improve the quality of life of older people. However, little is known regarding the views and needs of older people regarding these technologies.

Aim

The aim of this study was to explore the views, needs and perceptions of community-dwelling older adults regarding the use of digital health technologies for healthy ageing.

Method

Face-to-face, in-depth qualitative interviews were conducted with community-dwelling older adults (median age 79.6 years). The interview process involved both abstract reflections and practical demonstrations. The interviews were transcribed verbatim and analyzed according to inductive content analysis.

Results

Three main themes and twelve sub-themes addressing our study aim resulted from the data obtained. The main themes revolved around favorable views and perceptions on technology-assisted living, usability evaluations and ethical considerations.

Conclusions

Our study reveals a generally positive attitude towards digital health technologies as participants believed digital tools could positively contribute to improving their overall wellbeing, especially if designed in a patient-centered manner. Safety concerns and ethical issues related to privacy, empowerment and lack of human contact were also addressed by participants as key considerations.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02338-z.

Brain Health Living Labs

We call on geriatric brain health care providers, executives and entrepreneurs to embrace our Brain Health Living Lab model-a user-centered, iterative ecosystem, integrating concurrent clinical care, research and innovation processes.