J Appl Gerontol

This study reviewed the content of mobile applications (apps) providing Alzheimer's disease or related dementias (ADRD) information and assessed quality of the apps. Characteristics, content, and technical aspects of 36 apps in the U.S. Google Play Store and App Store were coded, and quality of the apps was evaluated using the Mobile Application Rating Scale. Caregiving (62.1%) and disease management (55.6%) content was frequently provided. Few apps had an app community (8.3%) or a reminder function (8.3%). Overall, quality of the apps was acceptable; apps by health care-related developers had higher quality scores than those by non-health care-related developers. This analysis showed that ADRD-related apps provide a range of content and have potential to benefit caregivers, individuals with ADRD, health care providers, and the general public. Collaboration of ADRD experts and technology experts is needed to provide evidence-based information using effective technical functions that make apps to meet users' needs.20182020-06-01T00:00:00ZU48 DP005000/DP/NCCDPHP CDC HHS/United States30049239PMC6348031774

Emerging roles for telemedicine and smart technologies in dementia care

Demographic aging of the world population contributes to an increase in the number of persons diagnosed with dementia (PWD), with corresponding increases in health care expenditures. In addition, fewer family members are available to care for these individuals. Most care for PWD occurs in the home, and family members caring for PWD frequently suffer negative outcomes related to the stress and burden of observing their loved one's progressive memory and functional decline. Decreases in cognition and self-care also necessitate that the caregiver takes on new roles and responsibilities in care provision. Smart technologies are being developed to support family caregivers of PWD in a variety of ways, including provision of information and support resources online, wayfinding technology to support independent mobility of the PWD, monitoring systems to alert caregivers to changes in the PWD and their environment, navigation devices to track PWD experiencing wandering, and telemedicine and e-health services linking caregivers and PWD with health care providers. This paper will review current uses of these advancing technologies to support care of PWD. Challenges unique to widespread acceptance of technology will be addressed and future directions explored.ope

Locomotion Traces Data Mining for Supporting Frail People with Cognitive Impairment

The rapid increase in the senior population is posing serious challenges to national healthcare systems. Hence, innovative tools are needed to early detect health issues, including cognitive decline. Several clinical studies show that it is possible to identify cognitive impairment based on the locomotion patterns of older people. Thus, this thesis at first focused on providing a systematic literature review of locomotion data mining systems for supporting Neuro-Degenerative Diseases (NDD) diagnosis, identifying locomotion anomaly indicators and movement patterns for discovering low-level locomotion indicators, sensor data acquisition, and processing methods, as well as NDD detection algorithms considering their pros and cons. Then, we investigated the use of sensor data and Deep Learning (DL) to recognize abnormal movement patterns in instrumented smart-homes. In order to get rid of the noise introduced by indoor constraints and activity execution, we introduced novel visual feature extraction methods for locomotion data. Our solutions rely on locomotion traces segmentation, image-based extraction of salient features from locomotion segments, and vision-based DL. Furthermore, we proposed a data augmentation strategy to increase the volume of collected data and generalize the solution to different smart-homes with different layouts. We carried out extensive experiments with a large real-world dataset acquired in a smart-home test-bed from older people, including people with cognitive diseases. Experimental comparisons show that our system outperforms state-of-the-art methods

Distributed Computing and Monitoring Technologies for Older Patients

This book summarizes various approaches for the automatic detection of health threats to older patients at home living alone. The text begins by briefly describing those who would most benefit from healthcare supervision. The book then summarizes possible scenarios for monitoring an older patient at home, deriving the common functional requirements for monitoring technology. Next, the work identifies the state of the art of technological monitoring approaches that are practically applicable to geriatric patients. A survey is presented on a range of such interdisciplinary fields as smart homes, telemonitoring, ambient intelligence, ambient assisted living, gerontechnology, and aging-in-place technology. The book discusses relevant experimental studies, highlighting the application of sensor fusion, signal processing and machine learning techniques. Finally, the text discusses future challenges, offering a number of suggestions for further research directions

Sustainable Technology and Elderly Life

The coming years will see an exponential increase in the proportion of elderly people in our society. This accelerated growth brings with it major challenges in relation to the sustainability of the system. There are different aspects where these changes will have a special incidence: health systems and their monitoring; the development of a framework in which the elderly can develop their daily lives satisfactorily; and in the design of intelligent cities adapted to the future sociodemographic profile. The discussion of the challenges faced, together with the current technological evolution, can show possible ways of meeting the challenges. There are different aspects where these changes will have a special incidence: health systems and their monitoring; the development of a framework in which the elderly can develop their daily lives satisfactorily; and in the design of intelligent cities adapted to the future sociodemographic profile. This special issue discusses various ways in which sustainable technologies can be applied to improve the lives of the elderly. Six articles on the subject are featured in this volume. From a systematic review of the literature to the development of gamification and health improvement projects. The articles present suggestive proposals for the improvement of the lives of the elderly. The volume is a resource of interest for the scientific community, since it shows different research gaps in the current state of the art. But it is also a document that can help social policy makers and people working in this domain to planning successful projects

The use of electronical devices and relative levels of Nomophobia within a group of Italian nurses: an Observational Study

Background: In healthcare, the use of smartphones and other electronical devices are becoming important tools among health professionals. Thanks to these devices, there are new methods of assistance. However, if used incorrectly, they may cause distraction during clinical practice. The excessive use of such devices has generated a new form of addiction in the workplace named nomophobia, a phobia still little explored in literature. We reported an analysis of the frequency and method of use of these electronical devices. The primary aim of the research was to investigate the level of dependence on electronic devices (nomophobia) and the digital habits of nurses. Secondary aim of the study was to evaluate the possible association between nomophobia and distraction in the workplace. Methods: A transversal multicenter study was conducted on a sample of Italian nurses, using the Nurses’ Use of Personal Communication Devices Questionnaire and the Nomophobia Questionnaire (NMP-Q). Results: 34.1% of the sample (n=184) declared that they used smartphones and other electronical devices a moderately during working hours. 20.2 % (n=109) used them frequently and 8.9% (n=48) uses devices during working hours constantly. However, 44.0% (n=222) never uses health apps for patient medical assistance, the 32.9% (n=166) never uses learning apps or apps for professional development. 16.6% (n=87) admit that the use of these devices negatively affected their working performance (mean 80.5; SD 40.1). Study participants showed moderated levels of nomophobia (media=50.34; SD=29.0). Conclusion: The results of the study demonstrate the scares use of such electronical tools to implement adequate care among Italian nurses. Nomophobia can have significant impact on the risk of making mistakes. Future studies should examine not only nurses but also other help professionals and support staff, to bring out an underestimated dimension

How a Diverse Research Ecosystem Has Generated New Rehabilitation Technologies: Review of NIDILRR’s Rehabilitation Engineering Research Centers

Over 50 million United States citizens (1 in 6 people in the US) have a developmental, acquired, or degenerative disability. The average US citizen can expect to live 20% of his or her life with a disability. Rehabilitation technologies play a major role in improving the quality of life for people with a disability, yet widespread and highly challenging needs remain. Within the US, a major effort aimed at the creation and evaluation of rehabilitation technology has been the Rehabilitation Engineering Research Centers (RERCs) sponsored by the National Institute on Disability, Independent Living, and Rehabilitation Research. As envisioned at their conception by a panel of the National Academy of Science in 1970, these centers were intended to take a “total approach to rehabilitation”, combining medicine, engineering, and related science, to improve the quality of life of individuals with a disability. Here, we review the scope, achievements, and ongoing projects of an unbiased sample of 19 currently active or recently terminated RERCs. Specifically, for each center, we briefly explain the needs it targets, summarize key historical advances, identify emerging innovations, and consider future directions. Our assessment from this review is that the RERC program indeed involves a multidisciplinary approach, with 36 professional fields involved, although 70% of research and development staff are in engineering fields, 23% in clinical fields, and only 7% in basic science fields; significantly, 11% of the professional staff have a disability related to their research. We observe that the RERC program has substantially diversified the scope of its work since the 1970’s, addressing more types of disabilities using more technologies, and, in particular, often now focusing on information technologies. RERC work also now often views users as integrated into an interdependent society through technologies that both people with and without disabilities co-use (such as the internet, wireless communication, and architecture). In addition, RERC research has evolved to view users as able at improving outcomes through learning, exercise, and plasticity (rather than being static), which can be optimally timed. We provide examples of rehabilitation technology innovation produced by the RERCs that illustrate this increasingly diversifying scope and evolving perspective. We conclude by discussing growth opportunities and possible future directions of the RERC program