In this paper we investigate the precise focus required of a telemonitoring system for the domain of independently living elderly. Particularly, we investigate (1) the needs of telemonitoring for this particular domain, and (2) the requirements for such a telemonitoring system. For our investigation, we performed an extensive study of the literature, as well as performed interviews with 36 individuals active in the field. As a result, we established numerous needs to be considered, being foremost information need on safety, with regard to care response on emergencies (e.g., falling incidents, wandering), as well information need on dependence on care, with regard to inactivity, self-neglect and loneliness. Subsequently, we established numerous requirements to be addressed, being foremost the use of non-wearable sensors, unobtrusiveness, durability, reliability, privacy, and ubiquitousness. In our discussion of the requirements, we detailed specifically the topics of focus, functionality, and form of a telemonitoring system for this domain.
Expectations are high with regards to smart home technology. In particular, smart home technology is expected to support or enable independent living by older adults. This raises the question: can smart home technology contribute to independent living, according to older adults themselves? This chapter aims to answer this question by reviewing and discussing older adults’ perspectives on independence and their views on smart home technology. Firstly, older adults’ opinions on independence and aging in place are discussed. Secondly, this chapter will review to what extent smart home technology can support older adults’ independence. Thirdly, it will be explained how community-dwelling older adults’ concept of independence entails three distinct types or modes, and how these modes are related to their perceptions and acceptance of technology. In the last section of this chapter, an overview of key points is presented, and recommendations for technology designers, policy makers, and care providers are postulated.
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Background/Objectives: Homecare staff often take over activities instead of “doing activities with” clients, thereby hampering clients from remaining active in daily life. Training and supporting staff to integrate reablement into their working practices may reduce clients' sedentary behavior and improve their independence. This study evaluated the effectiveness of the “Stay Active at Home” (SAaH) reablement training program for homecare staff on older homecare clients' sedentary behavior. Design: Cluster randomized controlled trial (c-RCT). Setting: Dutch homecare (10 nursing teams comprising a total of 313 staff members). Participants: 264 clients (aged ≥65 years). Intervention: SAaH seeks to equip staff with knowledge, attitude, and skills on reablement, and to provide social and organizational support to implement reablement in homecare practice. SAaH consists of program meetings, practical assignments, and weekly newsletters over a 9-month period. The control group received no additional training and delivered care as usual. Measurements: Sedentary behavior (primary outcome) was measured using tri-axial wrist-worn accelerometers. Secondary outcomes included daily functioning (GARS), physical functioning (SPPB), psychological functioning (PHQ-9), and falls. Data were collected at baseline and at 12 months; data on falls were also collected at 6 months. Intention-to-treat analyses using mixed-effects linear and logistic regression were performed. Results: We found no statistically significant differences between the study groups for sedentary time expressed as daily minutes (adjusted mean difference: β 18.5 (95% confidence interval [CI] 22.4, 59.3), p = 0.374) and as proportion of wake/wear time (β 0.6 [95% CI 1.5, 2.6], p = 0.589) or for most secondary outcomes. Conclusion: Our c-RCT showed no evidence for the effectiveness of SAaH for all client outcomes. Refining SAaH, by adding components that intervene directly on homecare clients, may optimize the program and require further research. Additional research should explore the effectiveness of SAaH on behavioral determinants of clients and staff and cost-effectiveness.
