This paper focuses on three areas: the first is a review of current knowledge about social and service robots for elderly care. The second is an optimization conceptual model aimed at maximizing the efficiency of assigning robots to serve the elderly. The proposed multi-criteria optimization model is the first one proposed in the area of optimization for robot assignment for the elderly with robot utilization level and caregiver stress level. The third is the findings of studies on the needs, requirements, and adoption of technology in elderly care. We consider the use of robots as a part of the ENRICHME project for long-term interaction and monitoring of older persons with mild cognitive impairment, to optimize their independence. Additionally, we performed focus group discussions (FGD) to collect opinions about robot-related requirements of the elderly and their caregivers. Four FDGs of six persons were organized: two comprising older adults, and two of the other formal and informal caregivers, based on a detailed script. The statements of older participants and their caregivers were consistent in several areas. The analysis revealed user characteristics, robot-related issues, functionality, and barriers to overcome before the deployment of the robot. An introduction of the robot must be thoroughly planned, include comprehensive pre-training, and take the ethical and practical issues into account. The involvement of future users in the customization of the robot is essential.

Background: Populations are aging at an alarming rate in many countries around the world. There has been not only a decrease in the number of births and an increase in the percentage of older people, but also an increase in the number of people living alone. There is growing demand for specialist medical care and daily care with the number of people who can act as caregivers reducing. The use of assistive robots can, at least partially, solve these problems. Objective: The purpose of this study was to examine the opinions of future health care professionals (medical and nursing students) regarding the use of assistive robots in the care of older people. Methods: The study was conducted with a group of 178 students from Poznan University of Medical Sciences, Poznań, Poland (110 nursing students and 68 medical students), using the Users’ Needs, Requirements, and Abilities Questionnaire. Results: The participants of this study believed that assistive robots should, first of all, remind older people to take medication regularly, ensure their safety, monitor their health status and environment, provide cognitive training, and encourage them to maintain physical activity. In the students’ opinion, the robot should not be an older person’s companion but only act as an assistant. Nursing students had significantly higher scores than medical students in several statements concerning everyday use of robots, including reminding about meals (P=.03), monitoring the environment (P=.001), providing advice about a healthy diet (P=.04), monitoring the intake of food and fluids (P=.02), and automatic “switch on” function (P=.02). Nursing students were more focused on the social functions of robots, including encouraging contact with friends (P=.003) and reducing the sense of loneliness and improving mood (P=.008). Medical students were more aware of privacy issues in the statement concerning the possibility of switching off the robot in specific situations (P=.01). Conclusions: Our study revealed a generally positive attitude of future doctors and nurses toward assistive robots, which can have an impact on their acceptance by older adults. In the future, medical professionals could help their patients to choose the right robots (and necessary functions) that are best suited to their needs. However, this would require expanding the curriculum to include the issues of gerontechnology.

The aim of the study was to evaluate the Camberwell Assessment of Need for the Elderly questionnaire (CANE) in assessing the needs of elderly individuals living in long-term care institutions (LTCI) in Poland. The needs of 173 residents were assessed. The inclusion criteria were age (at least 75 years of age) and the lack of severe cognitive impairment (Mini Mental Scale Examination score of at least 15 points). In all participants, met and unmet needs were assessed by themselves and by the nursing staff involved in care activities. The number of met needs assessed by the staff was higher than in the users' opinions (p<0.0001), whereas the number of unmet needs was lower (p<0.001). However, the average percentage of the agreement between the user and the staff was as high as 86.2%. The areas characterized by the lowest agreement were Company (65.3%), Memory (75.7%), Eyesight/hearing/communication (70.5%) and Psychological distress (70.5%). Despite a high percentage of agreement reached between the staff and user assessments of needs in our study, we were able to identify the areas of discrepancies between these two perceptions of needs. These can be treated as signals pointing to those aspects of care that should be addressed.

(1) Background: while there exist validated measures to assess the needs of older people, there are comparatively few validated tools to assess needs and requirements for the use of robots. Henceforth, the aim of the study is to present and validate such a tool. (2) Methods: The study group included 720 subjects (mean age 52.0 ± 37.0, 541 females) who agreed to fill the Users’ Needs, Requirements, and Abilities Questionnaire (UNRAQ). The validation part of the study included 125 persons. (3) Results: the acceptance of the robot was good in the whole group. The social functions were rated worse than assistive ones. A correlation was found between the scores of social and assistive functions. The respondents claimed that older adults were not prepared to interact with the robot and not very good at handling it, and were sceptical about their willingness to learn to operate the robot. The Cronbach alpha value for the whole questionnaire was 0.95 suggesting excellent internal consistency, and the ICC value of 0.88 represents excellent agreement; (4) Conclusions: We observed a good overall acceptance of the robot across the studied group. There is considerable demand for the use of a social robot in care for older people.

The older population is one of the most vulnerable to experience adverse outcomes of COVID-19. Exploring different clinical features that may act as detrimental to this population’s survival is pivotal for recognizing the highest risk individuals for poor outcome. We thus aimed to characterize the clinical differences between 60-day survivors and non-survivors, as well as analyze variables influencing survival in the first older adults hospitalized in Poznan, Poland, with COVID-19. Symptoms, comorbidities, complications, laboratory results, and functional capacity regarding the first 50 older patients (≥60 years) hospitalized due to COVID-19 were retrospectively studied. Functional status before admission (dependent/independent) was determined based on medical history. The 60-day survivors (n = 30/50) and non-survivors (n = 20/50) were compared across clinical parameters. The patients had a mean age of 74.8 ± 9.4 years. Overall, 20/50 patients died during hospitalization, with no further fatal outcomes reported during the 60-day period. The non-survivors were on average older (78.3 ± 9.7 years), more commonly experienced concurrent heart disease (75%), and displayed functional dependence (65%) (p < 0.05). When assessing the variables influencing survival (age, heart disease, and functional dependence), using a multivariate proportional hazards regression, functional dependence (requiring assistance in core activities of daily living) was the main factor affecting 60-day survival (HR, 3.34; 95% CI: 1.29–8.63; p = 0.01). In our study, functional dependence was the most important prognostic factor associated with mortality. Elderly with COVID-19 who required assistance in core activities of daily living prior to hospitalization had a three times increased risk to experience mortality, as compared to those with complete independence. Exploring geriatric approaches, such as assessment of functional capacity, may assist in constructing comprehensive survival prognosis in the elderly COVID-19 population.

Self-esteem reflects the way we see ourselves. The aim of this study was to determine the relationship among self-esteem, bio-psycho-social functioning, and sociodemographic conditions in the elderly. The study included 300 individuals over 60 years of age living in their home environment. The employed research tools included the Abbreviated Mental Test Score, Rosenberg Self-Esteem Scale (RSES), and EASYCare Standard 2010 questionnaire involving the following scales: independence score, risk of breakdown in care, and risk of falls. Results: The average score achieved by the study group according to the RSES scale was 29.9 ± 5.6 points. In addition, the study group presented a low risk of independence loss (independence score 13.3 ± 18.1), risk of breakdown in care (4.4 ± 2.4), and risk of falls (1.8 ± 1.6). The conducted multivariate analysis demonstrated that a significant (p < 0.05) negative predictor of low self-esteem was education below the secondary level, a poor financial condition, and functional limitations in domain I (seeing, hearing, and communicating skills) of the EASYCare Standard 2010 questionnaire. A relationship was found between self-esteem and the level of bio-psycho-social functioning, as well as between education and the financial situation. The results demonstrate that even successfully ageing individuals require a regular assessment of their functional status and individually adapted support in order to maintain independence and to increase their self-esteem.