[Digital transformation in the households of older people].
Ontology highlight
ABSTRACT: Background
Digital technologies play an important role in people's everyday lives and this applies not just to younger people but increasingly to older people. The study examined how the use of and attitudes towards such technology have changed over the last 10 years through a comparison of 3 cross-sectional population surveys.Material and methods
The data came from three Swiss surveys (2009: n = 1105; 2014: n = 1037; 2019: n = 1130) of people aged 65 years and over, each of which was conducted as a standardized telephone interview and combined with an optional written survey.Results
The use of both the internet and mobile devices (smartphones, tablets) increased from 2009 to 2019: in 2009, 37.8% of the respondents used the internet, rising to 74.2% in 2019; however, people over 80 years old used these technologies less frequently. Although more and different internet resources were being used in 2019 than in 2009, the reasons given for not using the internet were similar and included security concerns, claims that using the internet is too complicated and the belief that learning to use it is too difficult. There has also been little change in the attitudes toward technology and the factors explaining internet use.Conclusion
Even though the digital transformation is progressing, inequalities in the use of technology remain. Even when these are levelling out, new technologies will likely create new inequalities.
SUBMITTER: Seifert A
PROVIDER: S-EPMC8080083 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:Given the gut microbiota involve aging processing, we performed comparative analysis of gut bacteriophage between older and young subjects using next-generation sequencing (NGS). In our previous study, we found that the Ruminococcaceae is higher in aged subjects comparing to young one. To identify the bacteriophage targeting to the Ruminococcaceae, we also access the composition of phage in the Ruminococcaceae (ATCC, TSD-27) after incubated with human stool samples. The Lactobacillus (ATCC, LGG) targeting phage was used as the control. The virome sequencing analysis using NGS indicated that Myoviridae are high enrich in young subjects and predominate in TSD-27 targeting phage.
2022-07-20 | GSE196622 | GEO
Project description:BackgroundThe use of digital technologies is increasing in health care. However, studies evaluating digital health technologies can be characterized by selective nonparticipation of older people, although older people represent one of the main user groups of health care.ObjectiveWe examined whether and how participation in an exergame intervention study was associated with age, gender, and heart failure (HF) symptom severity.MethodsA subset of data from the HF-Wii study was used. The data came from patients with HF in institutional settings in Germany, Italy, the Netherlands, and Sweden. Selective nonparticipation was examined as resulting from two processes: (non)recruitment and self-selection. Baseline information on age, gender, and New York Heart Association Functional Classification of 1632 patients with HF were the predictor variables. These patients were screened for HF-Wii study participation. Reasons for nonparticipation were evaluated.ResultsOf the 1632 screened patients, 71% did not participate. The nonrecruitment rate was 21%, and based on the eligible sample, the refusal rate was 61%. Higher age was associated with lower probability of participation; it increased both the probabilities of not being recruited and declining to participate. More severe symptoms increased the likelihood of nonrecruitment. Gender had no effect. The most common reasons for nonrecruitment and self-selection were related to physical limitations and lack of time, respectively.ConclusionsResults indicate that selective nonparticipation takes place in digital health research and that it is associated with age and symptom severity. Gender effects cannot be proven. Such systematic selection can lead to biased research results that inappropriately inform research, policy, and practice.Trial registrationClinicalTrial.gov NCT01785121, https://clinicaltrials.gov/ct2/show/NCT01785121.
| S-EPMC7305561 | biostudies-literature
Project description:BACKGROUND:Healthcare services are being increasingly digitalised in European countries. However, in studies evaluating digital health technology, some people are less likely to participate than others, e.g. those who are older, those with a lower level of education and those with poorer digital skills. Such non-participation in research - deriving from the processes of non-recruitment of targeted individuals and self-selection - can be a driver of old-age exclusion from new digital health technologies. We aim to introduce, discuss and test an instrument to measure non-participation in digital health studies, in particular, the process of self-selection. METHODS:Based on a review of the relevant literature, we designed an instrument - the NPART survey questionnaire - for the analysis of self-selection, covering five thematic areas: socioeconomic factors, self-rated health and subjective overall quality of life, social participation, time resources, and digital skills and use of technology. The instrument was piloted on 70 older study persons in Sweden, approached during the recruitment process for a trial study. RESULTS:Results indicated that participants, as compared to decliners, were on average slightly younger and more educated, and reported better memory, higher social participation, and higher familiarity with and greater use of digital technologies. Overall, the survey questionnaire was able to discriminate between participants and decliners on the key aspects investigated, along the lines of the relevant literature. CONCLUSIONS:The NPART survey questionnaire can be applied to characterise non-participation in digital health research, in particular, the process of self-selection. It helps to identify underrepresented groups and their needs. Data generated from such an investigation, combined with hospital registry data on non-recruitment, allows for the implementation of improved sampling strategies, e.g. focused recruitment of underrepresented groups, and for the post hoc adjustment of results generated from biased samples, e.g. weighting procedures.
| S-EPMC6842243 | biostudies-literature
Project description:Digital technologies are transforming the automotive industry and disrupting traditional business models. New business opportunities related to Industry 4.0 are emerging, so companies must adapt to the new environment. The study presents an application of fuzzy-set qualitative comparative analysis (fsQCA) to analyze the future impact of digital transformation on business performance models and the different actors' satisfaction. A wide range of aspects and actors derived from the digital transformation process in the automotive industry are considered. The study covers connected and autonomous driving, mobility as a service, digital information sources in car purchasing, big data, etc. The disruptive effect of the gradual introduction of electric vehicles into the market is also considered, which is boosted by environmental policies on climate change and directives for the potential use of renewable energy sources to power electric vehicles. On the other hand, the study analyses the impacts of digital transformation on the automotive industry from the point of view of different actors, ranging from automobile manufacturers, service providers, public transportation providers, and consumers to governments. The methodology has been successfully applied to a complex case study-based empirical analysis. It presents a novel application of fsQCA to digital transformation in the automotive industry in Spain. The conclusions show that it is necessary to invest in adequate measures for adaptation to digital transformation, and manufacturers will end up having greater profits, productivity, and competitiveness. From the point of view of consumers, there will be access to more and better services and greater satisfaction with the required services.
| S-EPMC7543716 | biostudies-literature
Project description:BackgroundThe recent proliferation and application of digital technologies in public health has spurred interest in digital public health. However, as yet, there appears to be a lack of conceptual clarity and consensus on its definition.ObjectiveIn this scoping review, we seek to assess formal and informal definitions of digital public health in the literature and to understand how these definitions have been conceptualized in relation to digitization, digitalization, and digital transformation.MethodsWe conducted a scoping literature search in Ovid MEDLINE, Embase, Google Scholar, and 14 government and intergovernmental agency websites encompassing 6 geographic regions. Among a total of 409 full articles identified, we reviewed 11 publications that either formally defined digital public health or informally described the integration of digital technologies into public health in relation to digitization, digitalization, and digital transformation, and we conducted a thematic analysis of the identified definitions.ResultsTwo explicit definitions of digital public health were identified, each with divergent meanings. The first definition suggested digital public health was a reimagination of public health using new ways of working, blending established public health wisdom with new digital concepts and tools. The second definition highlighted digital public health as an asset to achieve existing public health goals. In relation to public health, digitization was used to refer to the technical process of converting analog records to digital data, digitalization referred to the integration of digital technologies into public health operations, and digital transformation was used to describe a cultural shift that pervasively integrates digital technologies and reorganizes services on the basis of the health needs of the public.ConclusionsThe definition of digital public health remains contested in the literature. Public health researchers and practitioners need to clarify these conceptual definitions to harness opportunities to integrate digital technologies into public health in a way that maximizes their potential to improve public health outcomes.International registered report identifier (irrid)RR2-10.2196/preprints.27686.
| S-EPMC8665390 | biostudies-literature
Project description:ObjectivesFamily structure in childhood influences early brain development and cognitive performance in adulthood. Much less is known about its long-term impact on later-life cognitive functioning. We extend the two-generation family structure approach to investigate the potential contribution of living with grandparents in multigenerational households to differences in cognitive functioning at older ages.MethodsData were drawn from 9 waves of the Health and Retirement Study (1998-2014) merged with newly collected childhood family history data. Five types of family structure were assessed: two-parent households, two-parent households with grandparents, single-parent households, single-parent households with grandparents, and grandparent-headed households. Growth curve models were used to estimate trajectories of cognitive functioning over time.ResultsChildhood family structure was significantly associated with level of cognitive functioning, but not to rate of cognitive decline. Relative to those from two-parent households, individuals who grew up in multigenerational households showed higher levels of cognitive functioning, including those living with a single parent and grandparents. Those who lived with a single parent alone were the most disadvantaged. The effects of these multigenerational households persisted net of childhood and adulthood socioeconomic status and health outcomes.DiscussionGrandparent coresidence may cultivate a socially enriched home environment, providing resources and protection for early cognitive development that could persist throughout life. Multigenerational living arrangements are likely to increase as the contemporary population ages. More research needs to be done to understand the impact of these living arrangements on future generations' brain health and cognitive aging.
| S-EPMC8200351 | biostudies-literature
Project description:IntroductionUrothelial carcinoma (UCC) develops in both humans and dogs and tracks to regions of high industrial activity. We hypothesize that dogs with UCC may act as sentinels for human urothelial carcinogen exposures. The aim of this pilot study was to determine whether healthy people and dogs in the same households share urinary exposures to potentially mutagenic chemical carcinogens.MethodsWe measured urinary concentrations of acrolein (as its metabolite 3-HPMA), arsenic species, 4-aminobiphenyl, and 4-chlorophenol (a metabolite of the phenoxyherbicide 2,4-D) in healthy dogs and their owners. We assessed possible chemical sources through questionnaires and screened for urothelial DNA damage using the micronucleus assay.ResultsBiomarkers of urinary exposure to acrolein, arsenic, and 4-chlorophenol were found in the urine of 42 pet dogs and 42 owners, with 4-aminobiphenyl detected sporadically. Creatinine-adjusted urinary chemical concentrations were significantly higher, by 2.8- to 6.2-fold, in dogs compared to humans. Correlations were found for 3-HPMA (r = 0.32, P = 0.04) and monomethylarsonic acid (r = 0.37, P = 0.02) between people and their dogs. Voided urothelial cell yields were inadequate to quantify DNA damage, and questionnaires did not reveal significant associations with urinary chemical concentrations.ConclusionsHealthy humans and pet dogs have shared urinary exposures to known mutagenic chemicals, with significantly higher levels in dogs. Higher urinary exposures to acrolein and arsenic in dogs correlate to higher exposures in their owners. Follow-up studies will assess the mutagenic potential of these levels in vitro and measure these biomarkers in owners of dogs with UCC.
| S-EPMC8057441 | biostudies-literature
Project description: Not available
| S-EPMC3652936 | biostudies-literature
Project description:Since the platform economies have emerged, there are many new ways how people can perform earning activities. These new opportunities concern older people too. However, some authors write that the actors of the platform economy are mainly younger people and it is not typical that older people work through platforms. We cite the opposite case of Oszkar (Hungarian On-line Passenger Intermediary System) where the ratio of older (55+) drivers to the total number of chauffeurs increased in time. At the same time, 30-40% of all drivers do not declare their age. In our paper, we analyse why older people do not declare their age. Using the results of our online survey and a Bayesian game theoretic model we prove that in the equilibrium state older people are frequently against letting others know their real age when they apply to work through a platform. We think that the cause is still existing age discrimination.
| S-EPMC8022566 | biostudies-literature
Project description:Social dominance is an important and widely used concept, however, different interpretations have led to ambiguity in the scientific literature and in popular science. Even though in ethology dominance is an attribute of dyadic encounters, and not a characteristic of the individual, 'dominance' has often been referred to as a personality trait in animals. Since few studies have specifically examined the link between personality traits and dominance status, we investigated this in dogs living in multi-dog households using a questionnaire, which required owners to specify whether the dog had a dominant or submissive status, and comprised items of both the features of the individual (i.e. personality traits) and previous social experience (interactions with group members and strangers). Four distinct personality factors emerged from 23 behavioural items by principal component analysis, labelled as assertiveness, trainability, intraspecific aggression and independence. Binomial logistic regression was used to examine how the demographic information of the dogs and the personality factors predicted the owner's estimate of the dog' status as dominant or submissive. The personality factor assertiveness accounted for 34% of the variance in dominance status, trainability 5% and dog age contributed 4%. Dogs perceived as dominant scored more highly on the factors assertiveness and trainability, which can help explain why 'dominance' has often been suggested to be a personality trait, rather than a dyad-specific social status according to different traditions in behavioural research. Similar to the 'social dominance' trait in humans, owner ascribed dominance showed a quadratic trajectory in cross-sectional mean change across the lifespan, increasing during adulthood and then maintaining high levels until old age. Overall, our study proposes a multifactorial background of dominance relationships in pet dogs, suggesting that not only previous experience of social interactions between individuals but also age and personality traits influence owner perceived dominance status in multi-dog households.
| S-EPMC6941818 | biostudies-literature