Reimagining neuroscientific and andragogical principles for dementia care education.

This article aims to explore the integration of Louis Cozolino's (2013) andragogical strategies with the tenets of person-centered dementia care practices to enhance dementia care education. The article examines the multiple dimensions of learning in adulthood, highlighting the role of neural plasticity and lifelong brain adaptation in shaping learning and experiential strategies. This in-depth evaluation underscores the significance of tailoring andragogical approaches to the needs of adult learners, who, in this context, are care providers for persons with dementia. This is done through proper understanding of the neurobiological realities and the unique learning needs of adults. Such tailored approaches can be aligned with the brain's adaptive nature by recognizing the intricate interplay of cognitive, emotional, and social dimensions. Highlighting the need for including lessons on the person-centered approach in dementia care education, the paper argues that adult learners - who are essentially part of the dementia care workforce - first need to learn, appreciate, and embrace the approach before applying it in their caregiving practices. This article presents an overarching argument that integration of Cozolino's principles of adult learning with tenets of person-centered dementia care could provide a robust framework for dementia care education.

Development and dissemination of an ethical guidance and person-centred isolation care planning tool to support the care of people with dementia during the COVID-19 pandemic.

BACKGROUND: Long-term care (LTC) residents have been disproportionately impacted by the COVID-19 pandemic, both from the virus itself and the restrictions in effect for infection prevention and control. Many barriers exist in LTC to prevent the effective isolation of suspect or confirmed COVID-19 cases. Furthermore, these measures have a severe impact on the well-being of LTC residents. Our aim was to develop a guide for long-term care to address the ethical challenges associated with isolating dementia patients during the pandemic. The Dementia Isolation Toolkit (DIT) was developed by members of the research team in partnership with LTC stakeholders to address: 1) the practical challenges of isolating or quarantining people with dementia in a compassionate, safe, and effective manner; and 2) the need for ethical guidance to support decision-making regarding isolation and infection control in LTC, to prevent indecision and moral distress. To develop the DIT the team reviewed and synthesized the literature on pandemic ethics in a plain-language document, which was then reviewed by our partners and stakeholders. The final ethical guidance tool includes a discussion of the ethics around infection control measures in a pandemic, an ethical decision-making tool, and a person-centred isolation care planning tool. The ethical guidance tool has been downloaded more than 6500 times since it was published (bit.ly/dementiatoolkit), and has been disseminated internationally. The worksheets are being used during outbreaks to support care and decision-making, as well as proactively, to prepare for outbreaks by developing isolation care plans. There is a need for support for ethical decision-making in the context of a pandemic, particularly in settings such as LTC. Future studies will evaluate the implementation of the tool and its impact in addressing moral distress in health care providers in long-term care.

Technology and Dementia: The Future is Now.

BACKGROUND: Technology has multiple potential applications to dementia from diagnosis and assessment to care delivery and supporting ageing in place. OBJECTIVES: To summarise key areas of technology development in dementia and identify future directions and implications. METHOD: Members of the US Alzheimer's Association Technology Professional Interest Area involved in delivering the annual pre-conference summarised existing knowledge on current and future technology developments in dementia. RESULTS: The main domains of technology development are as follows: (i) diagnosis, assessment and monitoring, (ii) maintenance of functioning, (iii) leisure and activity, (iv) caregiving and management. CONCLUSIONS: The pace of technology development requires urgent policy, funding and practice change, away from a narrow medical approach, to a holistic model that facilitates future risk reduction and prevention strategies, enables earlier detection and supports implementation at scale for a meaningful and fulfilling life with dementia.

Implementing Accessibility Settings in Touchscreen Apps for People Living with Dementia.

BACKGROUND: Accessibility options within apps can enable customisation and improve usability. The consideration of accessibility for people living with dementia has not been explored but is necessary to prevent a "digital divide" in our society. This study set out to examine whether the introduction of accessibility settings for people with dementia in two mainstream gaming apps (Solitaire and Bubble Explode) could improve the user experience. OBJECTIVES: To evaluate the effectiveness of tailored accessibility settings for people living with dementia by comparing the gameplay experience with and without the settings and measure the impact on their ability to initiate gameplay, play independently and experience enjoyment. METHODS: Thirty participants were recruited to test one of the two apps that had been adapted to include accessibility features. These features were derived from an analysis of gameplay in a previous study, from which the design of the present study was replicated. The results were compared with those from the earlier study (i.e., pre-adapted apps). RESULTS: The accessibility features significantly improved usability in Solitaire, which had been the more problematic of the two apps when evaluated in its pre-adapted form. Bubble Explode retained the high level of usability without further improvements. Initiation of gameplay was significantly improved in the adapted version of Solitaire, with no significant differences to progression or enjoyment for either app. CONCLUSIONS: This study represents the first implementation of accessibility settings for dementia in mainstream apps, whilst demonstrating the feasibility and positive impact of the approach. The findings reveal core principles of touchscreen interaction and design for dementia that can inform future app development.

Older Adults' Perspectives on Using Digital Technology to Maintain Good Mental Health: Interactive Group Study.

BACKGROUND: A growing number of apps to support good mental health and well-being are available on digital platforms. However, very few studies have examined older adults' attitudes toward the use of these apps, despite increasing uptake of digital technologies by this demographic. OBJECTIVE: This study sought to explore older adults' perspectives on technology to support good mental health. METHODS: A total of 15 older adults aged 50 years or older, in two groups, participated in sessions to explore the use of digital technologies to support mental health. Interactive activities were designed to capture participants' immediate reactions to apps and websites designed to support mental health and to explore their experiences of using technology for these purposes in their own lives. Template analysis was used to analyze transcripts of the group discussions. RESULTS: Older adults were motivated to turn to technology to improve mood through mechanisms of distraction, normalization, and facilitated expression of mental states, while aiming to reduce burden on others. Perceived barriers to use included fear of consequences and the impact of low mood on readiness to engage with technology, as well as a lack of prior knowledge applicable to digital technologies. Participants were aware of websites available to support mental health, but awareness alone did not motivate use. CONCLUSIONS: Older adults are motivated to use digital technologies to improve their mental health, but barriers remain that developers need to address for this population to access them.

Perspectives on ethnic and racial disparities in Alzheimer's disease and related dementias: Update and areas of immediate need.

Alzheimer's disease and related dementias (ADRDs) are a global crisis facing the aging population and society as a whole. With the numbers of people with ADRDs predicted to rise dramatically across the world, the scientific community can no longer neglect the need for research focusing on ADRDs among underrepresented ethnoracial diverse groups. The Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (ISTAART; alz.org/ISTAART) comprises a number of professional interest areas (PIAs), each focusing on a major scientific area associated with ADRDs. We leverage the expertise of the existing international cadre of ISTAART scientists and experts to synthesize a cross-PIA white paper that provides both a concise "state-of-the-science" report of ethnoracial factors across PIA foci and updated recommendations to address immediate needs to advance ADRD science across ethnoracial populations.

The Use of Motion-Based Technology for People Living With Dementia or Mild Cognitive Impairment: A Literature Review.

BACKGROUND: The number of people living with dementia and mild cognitive impairment (MCI) is increasing substantially. Although there are many research efforts directed toward the prevention and treatment of dementia and MCI, it is also important to learn more about supporting people to live well with dementia or MCI through cognitive, physical, and leisure means. While past research suggests that technology can be used to support positive aging for people with dementia or MCI, the use of motion-based technology has not been thoroughly explored with this population. OBJECTIVE: The aim of this study was to identify and synthesize the current literature involving the use of motion-based technology for people living with dementia or MCI by identifying themes while noting areas requiring further research. METHODS: A systematic review of studies involving the use of motion-based technology for human participants living with dementia or MCI was conducted. RESULTS: A total of 31 articles met the inclusion criteria. Five questions are addressed concerning (1) context of use; (2) population included (ie, dementia, MCI, or both); (3) hardware and software selection; (4) use of motion-based technology in a group or individual setting; and (5) details about the introduction, teaching, and support methods applied when using the motion-based technology with people living with dementia or MCI. CONCLUSIONS: The findings of this review confirm the potential of motion-based technology to improve the lives of people living with dementia or MCI. The use of this technology also spans across several contexts including cognitive, physical, and leisure; all of which support multidimensional well-being. The literature provides evidence that people living with dementia or MCI can learn how to use this technology and that they enjoy doing so. However, there is a lack of information provided in the literature regarding the introduction, training, and support methods applied when using this form of technology with this population. Future research should address the appropriate introduction, teaching, and support required for people living with dementia or MCI to use the motion-based technology. In addition, it is recommended that the diverse needs of these specific end-users be considered in the design and development of this technology.

The validation of a computer-based food record for older adults: the Novel Assessment of Nutrition and Ageing (NANA) method.

Dietary assessment in older adults can be challenging. The Novel Assessment of Nutrition and Ageing (NANA) method is a touch-screen computer-based food record that enables older adults to record their dietary intakes. The objective of the present study was to assess the relative validity of the NANA method for dietary assessment in older adults. For this purpose, three studies were conducted in which a total of ninety-four older adults (aged 65-89 years) used the NANA method of dietary assessment. On a separate occasion, participants completed a 4 d estimated food diary. Blood and 24 h urine samples were also collected from seventy-six of the volunteers for the analysis of biomarkers of nutrient intake. The results from all the three studies were combined, and nutrient intake data collected using the NANA method were compared against the 4 d estimated food diary and biomarkers of nutrient intake. Bland-Altman analysis showed a reasonable agreement between the dietary assessment methods for energy and macronutrient intake; however, there were small, but significant, differences for energy and protein intake, reflecting the tendency for the NANA method to record marginally lower energy intakes. Significant positive correlations were observed between urinary urea and dietary protein intake using both the NANA and the 4 d estimated food diary methods, and between plasma ascorbic acid and dietary vitamin C intake using the NANA method. The results demonstrate the feasibility of computer-based dietary assessment in older adults, and suggest that the NANA method is comparable to the 4 d estimated food diary, and could be used as an alternative to the food diary for the short-term assessment of an individual's dietary intake.

Assessing mood in older adults: a conceptual review of methods and approaches.

BACKGROUND: Accurate measures of mood state are important for understanding and optimizing health and well-being in later life. A range of different mood assessment measures is available, reflecting the variety of ways in which mood has been conceptualized and the different purposes for which measures have been developed. METHODS: We undertook a conceptual review of the literature relating to mood and its assessment in older populations. RESULTS: Moods are subjective states of mind that are typically described and quantified using self-report measures. Moods can be conceptually differentiated from the related psychological concepts of emotion, well-being, quality of life, and depression. Quantitative tools for assessing mood state include single-item mood ratings, composite factor scales, and clinical depression assessments. Mood assessments may be administered retrospectively or contemporaneously to the mood state of interest. The method and temporal perspective used to assess mood state will impact on the nature and precision of the mood data that are collected, and the types of research questions that can be addressed. CONCLUSIONS: No single mood assessment technique can be considered optimal for all situations. Rather, both the type of tool and the temporal perspective taken must be selected according to the nature of the study design and the research question being addressed. More thorough and frank reporting of the rationale for, and limitations of, mood assessment techniques are also essential for continued development of mood research with older adults.

Standardizing norms for 180 coloured Snodgrass and Vanderwart pictures in Kannada language.

This study presents normative data in Kannada for 180 coloured Snodgrass & Vanderwart pictures. Data are presented for naming latency, image agreement, picture-name agreement, familiarity, visual complexity, and age of acquisition (AoA). Sixty-eight native Kannada speaking adults completed all tasks. The effects of the rated variables on naming latency were examined and compared with data on the same variables in other languages. A regression analysis revealed that image agreement, name agreement, familiarity, and age of acquisition all had a significant impact on naming latency, while visual complexity and frequency did not. Although, the correlations among rated variables in Kannada were equivalent to previous normative studies, the cross-linguistic comparison revealed that only AoA was strongly correlated with other studies. The findings point to the importance of understanding the interplay of psycholinguistic variables on naming latency in different languages.

Assessing the feasibility of heart rate variability as an objective indicator of anxiety in older adults with dementia living in care homes.

OBJECTIVE: Anxiety is reportedly prevalent in older adults with dementia living in care homes and, within this population, is most often assessed through caregiver reports. Heart rate variability (HRV) is a physiological indicator of autonomic function, whereby reduced vagally-mediated HRV is associated with a variety of anxiety symptoms and disorders. This study evaluates the feasibility of collecting HRV data within this population, presents HRV data for older adults with dementia living in a care home, and examines HRV in the context of self-reported anxiety. These data were collected during a larger study examining an exercise intervention. RESULTS: HRV data, in the form of log-transformed root mean square of the successive differences (lnRMSSD), were in line with transformed data from previous research. These data provide a promising direction for the use of wrist-worn devices in future HRV research with people living with dementia in care homes.

Technology for Healthy Aging and Wellbeing: Co-producing Solutions.

Methods to facilitate co-production in mental health are important for engaging end users. As part of the Technology for Healthy Aging and Wellbeing (THAW) initiative we organized two interactive co-production workshops, to bring together older adults, health and social care professionals, non-governmental organizations, and researchers. In the first workshop, we used two activities: Technology Interaction and Scavenger Hunt, to explore the potential for different stakeholders to discuss late life mental health and existing technology. In the second workshop, we used Vignettes, Scavenger Hunt, and Invention Test to examine how older adults and other stakeholders might co-produce solutions to support mental wellbeing in later life using new and emerging technologies. In this paper, we share the interactive materials and activities and consider their value for co-production. Overall, the interactive methods were successful in engaging stakeholders with a broad range of technologies to support mental health and wellbeing and in co-producing ideas for how they could be leveraged and incorporated into older people's lives and support services. We offer this example of using interactive methods to facilitate co-production to encourage greater involvement of older adults and other under-represented groups in co-producing mental health technologies and services.

Kinect Project: People with dementia or mild cognitive impairment learning to play group motion-based games.

INTRODUCTION: Motion-based technologies (MBTs) could provide nonpharmacologic interventions for people with cognitive impairment (PCI; e.g., dementia or mild cognitive impairment). This study examined the use of errorless learning techniques to empower PCI to use MBT. METHODS: Thirty-eight PCI were recruited to a 10-week (20 × 1-hour sessions) Xbox Kinect bowling group. Video recorded data from first, middle, and final sessions were coded to track (1) number of prompts per turn, (2) independent turn completion, and (3) duration of turns. These values were compared using repeated measures analysis of variance. RESULTS: Learning and improvement over time was demonstrated in 23 participants who were available for final analysis by significant decreases in number of prompts per turn and turn duration and significant increases in turns completed independently. DISCUSSION: Errorless learning supported PCI to learn MBT and improve over time as evidenced by their need for fewer prompts, shorter turns, and more turns completed independently, confirming the potential of MBT to provide leisure activities for PCI.

System Development Guidelines From a Review of Motion-Based Technology for People With Dementia or MCI.

As the population ages and the number of people living with dementia or mild cognitive impairment (MCI) continues to increase, it is critical to identify creative and innovative ways to support and improve their quality of life. Motion-based technology has shown significant potential for people living with dementia or MCI by providing opportunities for cognitive stimulation, physical activity and participation in meaningful leisure activities, while simultaneously functioning as a useful tool for research and development of interventions. However, many of the current systems created using motion-based technology have not been designed specifically for people with dementia or MCI. Additionally, the usability and accessibility of these systems for these populations has not been thoroughly considered. This paper presents a set of system development guidelines derived from a review of the state of the art of motion-based technologies for people with dementia or MCI. These guidelines highlight three overarching domains of consideration for systems targeting people with dementia or MCI: (i) cognitive, (ii) physical, and (iii) social. We present the guidelines in terms of relevant design and use considerations within these domains and the emergent design themes within each domain. Our hope is that these guidelines will aid in designing motion-based software to meet the needs of people with dementia or MCI such that the potential of these technologies can be realized.

Computer Interactive Reminiscence and Conversation Aid groups-Delivering cognitive stimulation with technology.

INTRODUCTION: Group-based cognitive stimulation is the only nonpharmacologic intervention recommended by the UK National Institute for Clinical and Health Excellence for people with dementia. The potential of technology to extend the availability of group-based cognitive stimulation has not been tested. METHODS: One hundred sixty-one people with dementia participated in an eight-session group activity using Computer Interactive Reminiscence and Conversation Aid (CIRCA). Cognition, quality of life, and general health were assessed before intervention, postintervention, and 3 months later. RESULTS: There was a significant improvement in cognition and quality of life at the end of the CIRCA group intervention, which was further improved at 3-month follow-up. DISCUSSION: CIRCA group sessions improved cognition and quality of life similar to group-based cognitive stimulation approved by the National Institute for Clinical and Health Excellence. These benefits were maintained at 3-month follow-up. The data confirm the potential of CIRCA, which can be populated with different cultural and language contents for different user groups.

Computerized Self-Administered Measures of Mood and Appetite for Older Adults: The Novel Assessment of Nutrition and Ageing Toolkit.

The "Novel Assessment of Nutrition and Ageing" (NANA) toolkit is a computerized system for collecting longitudinal information about older adults' health and behavior. Here, we describe the validation of six items for measuring older adults' self-reported mood and appetite as part of the NANA system. In Study 1, 48 community-living older adults (aged 65-89 years) completed NANA measures of their current mood and appetite alongside standard paper measures, on three occasions, in a laboratory setting. In Study 2, 40 community-living older adults (aged 64-88 years) completed daily NANA measures of momentary mood and appetite in their own homes, unsupervised, alongside additional measures of health and behavior, over three 7-day periods. The NANA measures were significantly correlated with standard measures of mood and appetite, and showed stability over time. They show utility for tracking mood and appetite longitudinally, and for better understanding links with other aspects of health and behavior.

Independent Living Functions for the Elderly (IN-LIFE): Supporting Communication in Dementia.

Independent Living Functions for the Elderly (IN-LIFE) is a 3 year multidisciplinary, multisite European project that aims to prolong and support independent living for people with cognitive impairments, through (ICT) services. Sheffield is one of six research sites and is focused on enhancing communication and conversations using touch screen computers.

Observing prioritization effects on cognition and gait: The effect of increased cognitive load on cognitively healthy older adults' dual-task performance.

Previous studies exploring the effects of attention-prioritization on cognitively healthy older adults' gait and cognitive dual task (DT) performance have shown DT cost in gait outcomes but inconsistent effects on cognitive performance, which may reflect task difficulty (the cognitive load). This study aimed to identify whether changing the cognitive load during a walking and counting DT improved the challenge/sensitivity of the cognitive task to observe prioritization effects on concurrent gait and cognitive performance outcomes. Seventy-two cognitively healthy older adults (Mean=73years) walked 15m, counted backwards in 3s and 7s as single tasks (ST), and concurrently walked and counted backwards as DTs. Attention-prioritization was examined in Prioritizing Walking (PW) and Prioritizing Counting (PC) DT conditions. Dual-task performance costs (DTC) were calculated for number of correct cognitive responses (CCR) in the counting tasks, and step-time variability and velocity in the gait task. All DT conditions showed a benefit (DTB) for cognitive outcomes with trade-off cost to gait. In the Serial 3s task, the cognitive DTBs increased in PC over the PW condition (p<0.05), with a greater cost to walking velocity (p<0.05). DT effects were more pronounced in the Serial 7s with a lower cognitive DTB when PC than when PW, (p<0.05) with no trade-off increase in cost to gait outcomes (p<0.05). The findings suggest that increased cognitive load during a gait and cognitive DT produces more pronounced gait measures of attention-prioritization in cognitively healthy older adults. A cognitive load effect was also observed in the cognitive outcomes, with unexpected results.

Technology for Early Detection of Depression and Anxiety in Older People.

Under-diagnosis of depression and anxiety is common in older adults. This project took a mixed methods approach to explore the application of machine learning and technology for early detection of these conditions. Mood measures collected with digital technologies were used to predict depression and anxiety status according to the Geriatric Depression Scale (GDS) and the Hospital Anxiety and Depression Scale (HADS). Interactive group activities and interviews were used to explore views of older adults and healthcare professionals on this approach respectively. The results show good potential for using a machine learning approach with mood data to predict later depression, though prospective results are preliminary. Qualitative findings highlight motivators and barriers to use of mental health technologies, as well as usability issues. If consideration is given to these issues, this approach could allow alerts to be provided to healthcare staff to draw attention to service users who may go on to experience depression.