Attitudes to telecare among older people, professional care workers and informal carers: a preventative strategy or crisis management?

This paper reports findings from an attitudinal survey towards telecare that emerged from twenty-two focus groups comprising ninety-two older people, fifty-five professional stakeholders and thirty-nine carers. These were convened in three different regions of England as a precursor to telecare service development. The results from this study suggest that informants’ views were shaped by prior knowledge of conventional health and social care delivery in their locality and the implication is that expectations and requirements in respect of telecare services in general are likely to be informed by wider perceptions about the extent to which community care should operate as a preventative strategy or as a mechanism for crisis management

Fall Prediction and Prevention Systems: Recent Trends, Challenges, and Future Research Directions.

Fall prediction is a multifaceted problem that involves complex interactions between physiological, behavioral, and environmental factors. Existing fall detection and prediction systems mainly focus on physiological factors such as gait, vision, and cognition, and do not address the multifactorial nature of falls. In addition, these systems lack efficient user interfaces and feedback for preventing future falls. Recent advances in internet of things (IoT) and mobile technologies offer ample opportunities for integrating contextual information about patient behavior and environment along with physiological health data for predicting falls. This article reviews the state-of-the-art in fall detection and prediction systems. It also describes the challenges, limitations, and future directions in the design and implementation of effective fall prediction and prevention systems

Technology and good dementia care. A study of technology and ethics in everyday care practice

Avhandling (ph.d.) - Universitetet i Oslo, 2009publishedVersio

Fall prevention intervention technologies: A conceptual framework and survey of the state of the art

In recent years, an ever increasing range of technology-based applications have been developed with the goal of assisting in the delivery of more effective and efficient fall prevention interventions. Whilst there have been a number of studies that have surveyed technologies for a particular sub-domain of fall prevention, there is no existing research which surveys the full spectrum of falls prevention interventions and characterises the range of technologies that have augmented this landscape. This study presents a conceptual framework and survey of the state of the art of technology-based fall prevention systems which is derived from a systematic template analysis of studies presented in contemporary research literature. The framework proposes four broad categories of fall prevention intervention system: Pre-fall prevention; Post-fall prevention; Fall injury prevention; Cross-fall prevention. Other categories include, Application type, Technology deployment platform, Information sources, Deployment environment, User interface type, and Collaborative function. After presenting the conceptual framework, a detailed survey of the state of the art is presented as a function of the proposed framework. A number of research challenges emerge as a result of surveying the research literature, which include a need for: new systems that focus on overcoming extrinsic falls risk factors; systems that support the environmental risk assessment process; systems that enable patients and practitioners to develop more collaborative relationships and engage in shared decision making during falls risk assessment and prevention activities. In response to these challenges, recommendations and future research directions are proposed to overcome each respective challenge.The Royal Society, grant Ref: RG13082

Overcoming barriers and increasing independence: service robots for elderly and disabled people

This paper discusses the potential for service robots to overcome barriers and increase independence of elderly and disabled people. It includes a brief overview of the existing uses of service robots by disabled and elderly people and advances in technology which will make new uses possible and provides suggestions for some of these new applications. The paper also considers the design and other conditions to be met for user acceptance. It also discusses the complementarity of assistive service robots and personal assistance and considers the types of applications and users for which service robots are and are not suitable

Fall prediction using behavioural modelling from sensor data in smart homes.

The number of methods for identifying potential fall risk is growing as the rate of elderly fallers continues to rise in the UK. Assessments for identifying risk of falling are usually performed in hospitals and other laboratory environments, however these are costly and cause inconvenience for the subject and health services. Replacing these intrusive testing methods with a passive in-home monitoring solution would provide a less time-consuming and cheaper alternative. As sensors become more readily available, machine learning models can be applied to the large amount of data they produce. This can support activity recognition, falls detection, prediction and risk determination. In this review, the growing complexity of sensor data, the required analysis, and the machine learning techniques used to determine risk of falling are explored. The current research on using passive monitoring in the home is discussed, while the viability of active monitoring using vision-based and wearable sensors is considered. Methods of fall detection, prediction and risk determination are then compared

Outcomes for Older Telecare Recipients: The Importance of Assessments

The article explores both telecare in relation to its composition of assistive technologies, including sensors; and associated services that use such technologies as a means by which, often vulnerable, people can obtain help through their activation - with signals being routed to monitoring centres. The context is one where there are changes to such technologies and ongoing growth in the use of telecare services - despite there being no indicated benefits from a major study (the Whole System Demonstrators). The 'curious' investment in such technologies and services by Adult Social Care Departments in England is investigated through an interview survey that elicited over 100 valid responses. Iy gave particular attention to the assessment process by which effective targeting (to those who would be most likely to benefit) would, it had been assumed, have taken place. Key outcomes point to needed improvements to social care practice - including the need to balance a narrow focus on risk (determined in a largely top-down way) with other telecare offerings that could more proactively address (e.g. loneliness) and involve the user more proactively in relation to technology and service options. The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Summary This article explores the role of telecare assessment, review and staff training in meeting the needs of older people living at home. Using original empirical data obtained from an online survey of English local authorities it reveals considerable variation in assessment and review practice and in training given to social work and other staff who assess and review, which may impact on outcomes for telecare users. The study findings are situated within an English policy context and earlier findings from a large, government funded randomised controlled trial. This trial concluded that telecare did not lead to better outcomes for users. Findings Our survey findings suggest that it may be the way in which telecare is used, rather than telecare itself that shapes outcomes for people who use it, and that ‘sub-optimal’ outcomes from telecare may be linked to how telecare is adopted, adapted and used; and that this is influenced by staff training, telecare availability and a failure to regard telecare as a complex intervention. Application The findings may help to reconcile evidence which suggests that telecare does not deliver better outcomes and local authority responses to this which either discount or contest its value. The article suggests that to use telecare to achieve optimal outcomes for older people, social workers, care managers and other professionals involved in assessing for telecare will need to be given enhanced training opportunities, and their employers will need to perceive telecare as a complex intervention rather than simply a ‘plug and play’ solution