Background: An estimated 18 million people in the world have to cope with a decline in intellectual functioning that is not a normal part of the ageing process, called dementia. By 2025, this number is expected to reach 34 million. Alzheimer's disease accounts for 50-70 % of all cases of dementia. In the Netherlands, about two thirds of those affected live at home, with or without a partner. The increasing group of older adults with dementia presents great challenges in terms of creating suitable living environments and appropriate housing. Extramural housing needs further development, as opposed to intramural housing, such as nursery homes. The new extramural housing forms account for and compensate decreasing vitality and overall health status through the use of ICT and other technologies to serve human well-being. This should facilitate both residents and alleviate the intensity of care given by voluntary and professional care givers. In order to create these optimal dwellings at cost effective prices, evidence-based introduction of architectural measures and technological applications is essential. Existing knowledge is best viewed as an effort to expand and stimulate thinking on the relationships between dementia and design; thus, knowledge is largely a collection of hypotheses amenable to, and requiring, implementation and validation.This PhD-project will research some of the design aspects and needs, relevant to the technological home environment for older adults with dementia. This PhD project is shared with Hogeschool Utrecht, Lectureship of Demand Driven Care. Aim of research: Assessing thermal, lighting, and acoustic requirements, feasible home modifications and teleservices to sustain independence and well-being, both being the end product of all services rendered. Results so far indicate that requirements of older adults with dementia differ largely from the requirements of healthy older adults.
This paper presents work aimed at improved organization and performance of production in housing renovation projects. The purpose is to explore and demonstrate the potential of lean work organization and industrialized product technology to improve workflow and productive time. The research included selected case studies that have been found to implement lean work organization and industrialized product technology in an experimental setting. Adjustments to the work organization and construction technology have been implemented on site. The effects of the adjustments have been measured and were reviewed with operatives and managers. The data have been collected and analyzed, in comparison to traditional settings. Two projects were studied. The first case implied am application of lean work organization in which labor was reorganized redistributing and balancing operations among operatives of different trades. In the second case industrialized solution for prefabricated installation of prefabricated roofs. In both cases the labor productivity increased substantially compared to traditional situations. Although the limited number of cases, both situations appeared to be representative for other housing projects. This has led to conclusions extrapolated from both cases applicable to other projects, and contribution to the knowledge to improve production in construction. Vrijhoef, R. (2016). “Effects of Lean Work Organization and Industrialization on Workflow and Productive Time in Housing Renovation Projects.” In: Proc. 24 th Ann. Conf. of the Int’l. Group for Lean Construction, Boston, MA, USA, sect.2 pp. 63–72. Available at: .
MULTIFILE
BackgroundTo reduce homelessness, it is important to gain a better understanding of the differences between homeless people who remain in institutions and those who gain and can sustain independent housing. This longitudinal study explores differences in housing transitions and differences in changes in health and self-determination between formerly homeless people still living in institutions 2.5 years later and those now living in independent housing in the Netherlands.MethodsThis study mapped the housing transitions of 263 participants from when they entered the social relief system (SRS) to 2.5 years later when they were in independent housing or institutions. These individuals were compared at the 2.5-year mark in terms of gender, age and retrospectively in terms of duration of homelessness. They were also compared with regard to changes in psychological distress, perceived health, substance use and self-determination.ResultsTwo and a half years after entering the SRS, 81% of participants were independently housed and 19% still lived in institutions. People in institutions had a longer lifetime duration of homelessness, were more often men, and their number of days of alcohol use had decreased significantly more, whereas independently housed people had shown a significant increase in their sense of autonomy and relatedness.ConclusionFormerly homeless people living in independent housing and in institutions show few health-related differences 2.5 years after entering the SRS, but changes in autonomy and relatedness are distinctly more prevalent, after the same period of time, in those who are independently housed.
Due to societal developments, like the introduction of the ‘civil society’, policy stimulating longer living at home and the separation of housing and care, the housing situation of older citizens is a relevant and pressing issue for housing-, governance- and care organizations. The current situation of living with care already benefits from technological advancement. The wide application of technology especially in care homes brings the emergence of a new source of information that becomes invaluable in order to understand how the smart urban environment affects the health of older people. The goal of this proposal is to develop an approach for designing smart neighborhoods, in order to assist and engage older adults living there. This approach will be applied to a neighborhood in Aalst-Waalre which will be developed into a living lab. The research will involve: (1) Insight into social-spatial factors underlying a smart neighborhood; (2) Identifying governance and organizational context; (3) Identifying needs and preferences of the (future) inhabitant; (4) Matching needs & preferences to potential socio-techno-spatial solutions. A mixed methods approach fusing quantitative and qualitative methods towards understanding the impacts of smart environment will be investigated. After 12 months, employing several concepts of urban computing, such as pattern recognition and predictive modelling , using the focus groups from the different organizations as well as primary end-users, and exploring how physiological data can be embedded in data-driven strategies for the enhancement of active ageing in this neighborhood will result in design solutions and strategies for a more care-friendly neighborhood.
