Explore the vast range of titles available.

Background In older adults, including those with a migrant background, ill health is associated with less internet use. However, it is not known what are the specific self-perceived barriers to internet use among older migrants with different health conditions. The aim of this study was to investigate the associations between different health conditions and self-perceived barriers to internet use among older migrants. Methods We used the Care, Health and Ageing of Russian-speaking Minority in Finland (CHARM) study, which is a nationally representative survey of community-dwelling Russian-speaking adults aged ≥50 years living in Finland ( N =1082, 57% men, mean age 63.2 years, standard deviation 8.4 years, response rate 36%). Postal survey data were collected in 2019. Health indicators were self-rated health (SRH), depressive symptoms, cognitive functioning, and doctor-diagnosed conditions. Linear regression analyses were used to investigate the associations between health indicators and a summary scale consisting of the following barriers of internet use: (1) internet use is too complicated and hard to learn; (2) having concerns about safety issues; (3) internet use is too expensive; (4) physical limitations hinder the internet use; (5) memory problems hinder the internet use. In addition, the two most commonly reported barriers (the first two) were examined separately using logistic regression analyses. The analyses were adjusted for age, sex, education, marital status, local language proficiency, and income support, and the health conditions, and were performed with weights accounting for the survey design and non-response. Results After adjustments, spine/back problems ( b =0.13; p =0.049), depressive symptoms ( b =0.40; p =0.007), and problems in learning new things ( b =0.60; p <0.0005) were associated with higher level of overall barriers to internet use. In addition, a number of health conditions were associated with individual barriers, albeit some health conditions appeared protective. Conclusions In general, older migrants with declining health experience more barriers to internet use than their counterparts with better health. To provide better access to healthcare for older adults, including older migrants, rapidly changing devices, software and apps need to be modified and adapted for those with specific health-related needs.

Robots have been slowly but steadily introduced to welfare sectors. Our previous observations based on a large-scale survey study on Finnish elder-care workers in 2016 showed that while robots were perceived to be useful in certain telecare tasks, using robots may also prove to be incompatible with the care workers’ personal values. The current study presents the second wave of the survey data from 2020, with the same respondents (N = 190), and shows how these views have changed for the positive, including higher expectations of telecare robotization and decreased concerns over care robots’ compatibility with personal values. In a longitudinal analysis (Phase 1), the positive change in views toward telecare robots was found to be influenced by the care robots’ higher value compatibility. In an additional cross-sectional analysis (Phase 2), focusing on the factors underlying personal values, care robots’ value compatibility was associated with social norms toward care robots, the threat of technological unemployment, and COVID-19 stress. The significance of social norms in robot acceptance came down to more universal ethical standards of care work rather than shared norms in the workplace. COVID-19 stress did not explain the temporal changes in views about robot use in care but had a role in assessments of the compatibility between personal values and care robot use. In conclusion, for care workers to see potential in care robots, the new technology must support ethical standards of care work, such as respectfulness, compassion, and trustworthiness of the nurse–patient interaction. In robotizing care work, personal values are significant predictors of the task values.

Successful implementation of robots in welfare services requires that the staff approves of them as a part of daily work tasks. In this study, we identified psychological and socio-demographic determinants associated with readiness for robotization among professional Finnish care-workers. National survey data were collected from professional care workers (n = 3800) between October and November 2016. Random samples were drawn from the member registers of two Finnish trade unions. The data were analyzed with regression models for respondents with and without firsthand experience with robots. The models explained 34–39% of the variance in the readiness for robotization. The readiness was positively associated with self-efficacy, perceived social norms, interest in technology, and perceived impacts on employment. It was also found that the readiness was less determined by age, gender, profession and job satisfaction among the respondents with firsthand robot experience. Among care workers with no experience with robots, older age and lower job satisfaction predicted a readiness for robotization. Care workers stand out as a distinctive group of potential service robot users, with their high confidence in using new technology and low job satisfaction predicting a higher readiness for robotization. Social norms among care workers emerged as an important factor in the readiness for robotization.

Objective The purpose of this study is to examine how care workers’ characteristics are related to the perceived benefits and drawbacks of using videoconferencing in the care of older people. The factors chosen for this study are: age, education, perceived information and communication technology (ICT) support, interest in technology, ICT skills and possible prior experience of using videoconferencing tools. Methods Our data source was the second wave (2021) of the University of Jyväskylä survey on elder care work (N = 3607), collected from four large trade unions in Finland. We used a multinomial logistic regression to group respondents according to their experiences of technology use and a path analysis to estimate the effects of care workers’ characteristics and prior experiences on the perceived benefits of videoconferencing tools in eldercare work. Results We found that the personal characteristics of a care worker are associated with both the use of videoconferencing and its perceived benefits and drawbacks. In addition, we discovered that prior use of videoconferencing tools, especially in direct care work, affects the perceived benefits of them. Those who have used videoconferencing in direct care work perceive them as more beneficial for both their own work and for clients. Conclusions Based on these results, we suggest that healthcare and social welfare organizations pay attention to the characteristics of care workers, especially when estimating the necessary amount of ICT support. More ICT support should be targeted to those with a lower level of education and higher age.

Purpose The aim of this study was to clarify how health satisfaction, socio-demographic background, and country of residence in older internet users correspond with their preference for COVID-19 information sources or for behaviors aimed at acquiring this information. Methods The sample ( N  = 4233) was drawn from the 2020 wave of the Ageing + Communication + Technologies (ACT) cross-national longitudinal research study. Multinomial and logistic regression models were employed to analyze the data. Results An association was found between health satisfaction and preference for interpersonal communication to obtain COVID-19 information over traditional media consumed via traditional devices. Substantial socio-demographic (gender, age, education, marital status) differences were found, particularly regarding preference for digital media. Moreover, sizable cross-country differences were detected. Conclusions The results point to the existence of a remarkable divide with respect to the COVID-19 information source/behavior preference even in a digitally advantaged population. Public decision makers and communities should be more involved in assisting older adults to obtain necessary and up-to-date information regarding COVID-19.

This special issue presents research on the role of digital health and communication technologies in later life. Drawing from the observation that people’s longer lives are affected by digital technologies to varying extents and recognizing the vast supply of traditional and digital technologies targeted at older users, we maintain that the principle of aged heterogeneity also manifests itself with respect to the adoption and use of digital technologies. Basing on the findings presented in the articles of the issue, we conclude n this introduction to the issue that the concept of aged heterogeneity and the particularities of old age as a stage of life are still insufficiently incorporated into the design of digital technologies and applications.

Previous studies measuring different aspects of the quality of life have, as a rule, presumed linear relationships between a dependent variable and its predictors. This article utilizes non-parametric statistical methodology to explore curvilinear relations between work engagement and its main predictors: job demands, job control and social support. Firstly, the study examines what additional information non-linear modeling can reveal regarding the relationship between work engagement and the three predictors in question. Secondly, the article compares the explanatory power of non-linear and linear modeling with regard to work engagement. The generalized additive model (GAM), that makes possible non-linear modeling, is compared with the widely used simply linear generalized linear model (GML) procedure. Based on the survey data ( N  = 7,867) collected in eight European countries in 2007, the article presents the following main results. GAM clearly fitted the data better than GLM. All investigated job characteristics had curvilinear relationships with work engagement, although job demands and job control relationships were almost linear. Social support had a clear U-shaped curvilinear connection to work engagement. Interactions between the three job characteristics were also found. Interaction between job demands and social support was curvilinear in shape. Finally, GAM proved to be a more practical and efficient tool of analysis than GLM in situations where there are reasons to assume curvilinear relationships, complex interactions effects between predictors.

In the aftermath of the fall of the Iron Curtain, the European Union (EU) has included more and more new member states from Central and Eastern parts of the European continent. This enlargement process has increased the cultural diversity of the European community as new languages and minority groups have been subsumed into the EU. It is the purpose of this article to discuss the challenges that result from the EU's enlargement, together with the added intra-European mobility of cultures, that affect the national knowledge infrastructures. Based on recent social scientific scholarship on mobility and cultures, this article proposes that knowledge management in contemporary Europe is not only a technological or organisational issue but also a cultural question. Since people are free to move within the EU, it becomes of greater importance not only to increase our understanding of other cultures but also to ensure that member states can provide public services for EU citizens arriving from other cultural regimes. The paper shows that, because of the increased mobility of cultures, national knowledge infrastructures have to be opened and remodelled. New forms of collaboration between national knowledge systems are needed to guarantee the equal treatment of people representing different cultures in contemporary Europe.

Purpose; The purpose of this paper is to examine the level and predictors of work engagement among service sector employees in eight European countries. Design/methodology/approach; The work seeks to discover if job demands and resources, i.e. job autonomy and social support, affect work engagement in differing ways in different countries when socio-demographical variables and work-related factors are controlled. The study is based on a statistical analysis of survey data from Bulgaria, Finland, Germany, Hungary, The Netherlands, Portugal, Sweden and the UK in 2007 (=7,867). The data represent four economic sectors: retail trade, finance and banking, telecoms and public hospitals. Findings; The results show that the level of work engagement varies not only between countries but also between those four economic sectors within each country. Additionally, the findings indicate that demands decrease work engagement, while autonomy and support increase it. Although the effects are mainly the same across the countries, the article also points out some exceptions in this regard. Originality/value; Although the paper is built upon established theories about job demands and autonomy, it uses a newer work engagement approach, produces cross-national knowledge about work engagement and its predictors. Cross-national approaches to work engagement are still rare.