The extent to which technology may be able to support people with dementia and their carers along the care pathway and in different care settings is of interest to policy makers and governments. In this paper we provide an overview of the role of technology in dementia care, treatment and support by mapping existing technologies - by function, target user and disease progression. Technologies identified are classified into seven functions: memory support, treatment, safety and security, training, care delivery, social interaction and other. Different groups of potential users are distinguished: people with mild cognitive impairment and early stages of dementia, people with moderate to severe dementia and unpaid carers and health- and social care professionals. We also identified the care settings, in which the technologies are used (or for which the technologies are developed): at home in the community and in institutional care settings. The evidence has been drawn from a rapid review of the literature, expert interviews and web and social media searches. The largest number of technologies identified aim to enhance the safety and security of people with dementia living in the community. These devices are often passive monitors, such as smoke detectors. Other safety interventions, such as panic buttons, require active intervention. The second largest number of interventions aims to enhance people's memory and includes global positioning systems devices and voice prompts. These technologies mostly target people in the early stages of dementia. A third group focusing on treatment and care delivery emerged from the literature. These interventions focus on technology-aided reminiscence or therapeutic aspects of care for people with dementia and their carers. While the review found a range of technologies available for people with dementia and carers there is very little evidence of widespread practical application. Instead, it appears that stakeholders frequently rely on everyday technologies re-purposed to meet their needs.

BackgroundThe MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia) explores how changes in arrangements for the future treatment and care of people living with dementia, and support for family and other unpaid carers, could result in better outcomes and more efficient use of resources.MethodsMODEM starts with a systematic mapping of the literature on effective and (potentially) cost-effective interventions in dementia care. Those findings, as well as data from a cohort, will then be used to model the quality of life and cost impacts of making these evidence-based interventions more widely available in England over the period from now to 2040. Modelling will use a suite of models, combining microsimulation and macrosimulation methods, modelling the costs and outcomes of care, both for an individual over the life-course from the point of dementia diagnosis, and for individuals and England as a whole in a particular year.Project outputs will include an online Dementia Evidence Toolkit, making evidence summaries and a literature database available free to anyone, papers in academic journals and other written outputs, and a MODEM Legacy Model, which will enable local commissioners of services to apply the model to their own populations.DiscussionModelling the effects of evidence-based cost-effective interventions and making this information widely available has the potential to improve the health and quality of life both of people with dementia and their carers, while ensuring that resources are used efficiently.

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