Planning for mental wellbeing in an old age home during the Covid-19 pandemic by homoeopathic institution: Structuring the intervention

Objectives: During the on-going COVID-19 pandemic, the risk to the mental well-being of the elderly living in an old age home (OAH) has increased considerably. Dealing with this issue requires special measures. The current literature has very few examples of such programmes. We aimed to promote emotional balance and an independent living with positive outlook on life among the residents of the OAH facility during the pandemic based on action learning principles. This programme was conducted in an OAH that our institute has been associated with for several years. HelpAge India, a non-governmental organisation working in India to assist disadvantaged senior citizens, provided a programme that covered 12 themes. This article deals with the structuring process of the programme. Materials and Methods: The team comprised homoeopathic consultants and the faculty and students of a postgraduate homoeopathic institute. An extensive literature search and consultation with experts from various fields enabled the team to plan and build the final programme were evolved. Results: Broad themes gave rise to distinct modules and objectives were derived for each of these. Detailed action plans were worked out and a plan of evaluation for each of these modules was worked out. Conclusion: Planning a programme to ensure well-being needs a close and accurate identification of the needs of the residents of a particular OAH. A multidisciplinary approach can help in evolving effective strategies to formulate models for geriatric mental well-being.

Exploration of the Independent Housing Experience of People with Mental Illness in a Community

Purpose: This study aims to explore the independent housing experiences of people with mental illness who receive supported independent housing services provided by the public sector.Methods: Data were collected through face-to-face interviews using semi-structured interviews. Twelve participants, who had been living independently in the community for around 11 months, were included. A qualitative descriptive method and a content analysis method were applied.Results: Independent housing experiences of people with mental illness were classified into the following four domains: house effect, growth, challenges and limitations, relationships, and support. Eleven categories included the starting point of life, environmental & psychological comfort, inspire independence and confidence, recognition of goals and responsibilities, positive self-awareness, psychological difficulties, immaturity of daily coping, unstable self-protection, relationship improvement, and importance of support resources.Conclusion: For successful community integration of mentally disabled people, continuous legal institutional preparation for stable housing, government active interest, and flexible financial support are needed. In addition to housing support, a recovery-based independent housing case management model needs to be developed for successful maintenance of independent living. We also suggest a study on the effectiveness of independent housing to determine evidence for making a policy.

White Matter Microstructure is Associated with Serum Clusterin and Everyday Functioning in a Sample of Nondemented Older Adults

Background: Although clusterin-a protein involved in lipid metabolism, amyloid beta clearance, and myelination-has been linked to gray matter atrophy within samples of older adults at risk for Alzheimer’s disease, research exploring associations with white matter (WM) micro- and macro- structural markers are largely limited. Objective:: The current study [1] explored associations between serum clusterin protein levels and WM micro- and macro- structural markers, and [2] clarified whether variations in WM fractional anisotropy (FA) were associated with functional abilities within in a racially homogenous sample of relatively well-educated older adults free of dementia. Methods: Participants underwent magnetic resonance imaging (MRI) brain exams and a blood draw and completed a performance-based measure of everyday functioning. Multiple linear regression adjusting for age, sex, APOE e4 positivity, and vascular risk were used to explore serum clusterin associations with WM metrics, as well clarify potential links between WM microstructure and everyday functioning. Results: Higher serum clusterin was associated with lower FA in several thalamocortical (anterior and posterior internal capsule, posterior thalamic radiation; ßs = -.32 to -.37, ps = .01 to .02) and association fiber tracts (external capsule, superior longitudinal fasciculus; ßs = -.32 to -.40, ps = .02). Serum clusterin was not associated with white matter hyperintensity volume (ß = .14, p = .28), but higher FA of several WM tracts was associated with better performance on the Independent Living Scale (ßs = .37 to .53, ps = .006 to .03). Conclusion: Serum clusterin is differentially associated with WM metrics, and WM microstructure is associated with everyday functioning.

SOCIAL SUPPORT OF A FAMILY-TYPE ORPHANAGE

The article reveals the social support of a family-type orphanage, which is a type of social work that involves the implementation of centers of social services for young people in the system of long-term care through the provision of comprehensive social services by social workers involved, if necessary, professionals, parents -teachers in order to protect and realize the rights of children who are in their upbringing. The purpose of the article is to reveal the features of social support of a family-type orphanage. Research methods apllied: generalization, concretization, synthesis, theoretical analysis of sources. The author describes the content of stages of development of a family-type orphanage and features of interaction between a social worker and a family and a social institution of a family-type orphanage, which are to help the client understand his real problems and distinguish them from problems created by him; help to make a decision on this problem and address the person to a specialist to solve the problem by appropriate methods. This allows to formulate the tasks of a social worker of the center of social services for youth and to identify problems of social support of the family − the team, rehabilitation, socio-therapeutic, which specifies the content of their activities, consisting of a list of services (advisory, informational, socio-pedagogical, psychological, socio-economic, legal, socio-medical). In our opinion, such work contributes to the restoration of the family’s independence in solving its problems through learning to solve and prevent these problems, reduce the impact of the problem on family life, prevent its crisis and disintegration, eliminate the consumer approach to society and creating conditions for normal family life. The results of the study are a substantiation of the content, tasks and main functions of social support of family-type orphanages, which is a form of state support for the family in the interests of the child. Prospects for further research in this direction, we see in the disclosure of the functions of a social worker in preparing the child to leave the orphanage and into independent living.

Self-Participation Experiences among Well-Adapted Hemodialysis Patients

A successful self-participation experience empowers patients to adapt to living with hemodialysis. However, few studies regarding the subjective experiences of such patient participation have been conducted. This study’s purpose was to describe hemodialysis patients’ perspectives on integrating hemodialysis into a new life regarding self-participation experience. A qualitative study using the grounded theory method was applied. Thirty-two well-adaptive hemodialysis Taiwanese patients attended in-depth interviews. “Integrating hemodialysis into a new life journey” was identified as the core category guiding the entire self-participation experience of hemodialysis patients. The three antecedent themes were “Sense of worthlessness”, “Life is still worth living”, and “Friendly and joyful atmosphere of the hemodialysis room”. Once the patients went through the three antecedent themes, they gradually began making efforts to participate more fully in their hemodialysis. Within this participation experience, the hemodialysis patients exhibited these four interactive themes: “Overcoming one’s predicament”, “Integrating self-care skills into my life”, “Resuming previous roles and tasks”, and “Adapting to independent living”. Finally, most adaptive patients master the hemodialysis life. Encouraging patients to discover that their life is worth living and providing a friendly and joyful atmosphere in hemodialysis units are the keys to facilitating patients’ self-participation more fully.

Physics-based machine learning for subcellular segmentation in living cells

Segmenting subcellular structures in living cells from fluorescence microscope images is a ground truth (GT)-deficient problem. The microscopes’ three-dimensional blurring function, finite optical resolution due to light diffraction, finite pixel resolution and the complex morphological manifestations of the structures all contribute to GT-hardness. Unsupervised segmentation approaches are quite inaccurate. Therefore, manual segmentation relying on heuristics and experience remains the preferred approach. However, this process is tedious, given the countless structures present inside a single cell, and generating analytics across a large population of cells or performing advanced artificial intelligence tasks such as tracking are greatly limited. Here we bring modelling and deep learning to a nexus for solving this GT-hard problem, improving both the accuracy and speed of subcellular segmentation. We introduce a simulation-supervision approach empowered by physics-based GT, which presents two advantages. First, the physics-based GT resolves the GT-hardness. Second, computational modelling of all the relevant physical aspects assists the deep learning models in learning to compensate, to a great extent, for the limitations of physics and the instrument. We show extensive results on the segmentation of small vesicles and mitochondria in diverse and independent living- and fixed-cell datasets. We demonstrate the adaptability of the approach across diverse microscopes through transfer learning, and illustrate biologically relevant applications of automated analytics and motion analysis.

An Empirical Analysis of AI Related Scientific Knowledge and Technologies To Support Elderly Independent Living

<p>The constant increase of an aging society unveils social and economic problems. Elderly independent living (EIL) is supported by numerous services and technologies that take care of their emotional and physical health. Previous studies have reviewed the potential of Artificial Intelligence (AI) applications to support health care, such as AI robots and intelligent senior well-being support systems. A growing number of scientists and tech companies are working on AI applications to help the elderly independent living. We propose to identify AI technological innovation opportunities when developing AI solutions to help the elderly independent living. The research consists of two steps: 1) Identifying AI solutions to help elderly independent living by implementing scientometric analysis on scientific publications related to AI technologies and the elderly. 2) The review and national-level comparison of the identified AI solutions under the proposed framework of elderly need, supporting function, underlying technologies and scientific knowledge. Based on an analysis of the literature on emerging technology in the third AI Boom, we pinpoint science mapping to grasp the situation of research and development of emerging technologies in various regions, to explore the status of technological and research cooperation, to find out the hot research topics of AI technologies in dealing with the problem of aging, to discover the direction of technological development and innovation opportunities in the future, and to combine with the actual need of EIL for exploring the innovative potential of AI technology. From our analysis we can argue that solutions to support elderly independent living require the integration of knowledge from various disciplines, services and products such as machine learning, sensors, data analysis, IoT, wearable devices, sociology and healthcare.</p><p><span>Keywords : Artificial Intelligence, Aging society, Elderly independent living, Scientometric, Network analysis</span></p>

Reducing Loneliness Among Aging Adults: The Roles of Personal Voice Assistants and Anthropomorphic Interactions

The perception of feeling lonely is an influential factor in determining quality of life among aging adults. As the US Census Bureau projects that the number of Americans ages 65 and older will double by 2060, reducing loneliness is imperative. Personal voice assistants (PVAs) such as Amazon's Echo offer the ease-of-use of voice control with a friendly, helpful artificial intelligence. This study aimed to understand the influence of a PVA on loneliness reduction among adults of advanced ages, i.e., 75+, and explore anthropomorphism as a potential underlying mechanism. Participants (N = 16) ages 75 or older used an Amazon Echo PVA for 8 weeks in an independent living facility in the Midwest. Surveys were used to collect information about perceived loneliness, and PVA interaction data was recorded and analyzed. Participants consistently exceeded the required daily interactions. As hypothesized, after the first 4 weeks of the intervention, aging adults reported significantly lower loneliness (baseline mean = 2.22, SD = 0.42; week 4 mean = 1.99, SD = 0.45, Z = −2.45, and p = 0.01). Four dominant anthropomorphic themes emerged after thematic analysis of the entire 8 weeks' PVA interaction data (Cohen's Kappa = 0.92): (1) greetings (user-initiated, friendly phrases); (2) comments/questions (user-initiated, second-person pronoun), (3) polite interactions (user-initiated, direct-name friendly requests), (4) reaction (user response to Alexa). Relational greetings predicted loneliness reductions in the first 4 weeks and baseline loneliness predicted relational greetings with the PVA during the entire 8 weeks, suggesting that anthropomorphization of PVAs may play a role in mitigating loneliness in aging adults.