1995
DOI: 10.1097/00007611-199509000-00006
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Impact of a Personal Emergency Response System on Hospital Utilization by Community- Residing Elders

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Cited by 54 publications
(48 citation statements)
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“…Research in Canada has shown that community alarm systems can reduce the number of hospital admissions from the community by 25% (Roush et al, 1995). We use this figure to estimate the impact of telecare on hospital admissions.…”
Section: The Dynamics Of Telecare Implementationmentioning
confidence: 99%
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“…Research in Canada has shown that community alarm systems can reduce the number of hospital admissions from the community by 25% (Roush et al, 1995). We use this figure to estimate the impact of telecare on hospital admissions.…”
Section: The Dynamics Of Telecare Implementationmentioning
confidence: 99%
“…Figure 4 shows what would happen to hospital admissions if we assume, following Roush et al (1995), a 25% reduction in the admissions probability for clients receiving telecare compared to clients in the same frailty categories receiving standard homecare. Run 1 of our simulation experiments portrays the steady-state case of the present care system in the absence of telecare.…”
Section: Simulation Experimentsmentioning
confidence: 99%
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“…Detection of a fall, either through automatic fall detection or through a personal emergency response system (PERS) might reduce the occurrence of the 'long-lie', by minimizing the time between the fall and the arrival of medical attention [9]. The most common existing PERS, the push-button pendant, is not always satisfactory because during a loss of consciousness or a faint the pendant might not be activated [10].…”
Section: Introductionmentioning
confidence: 99%
“…The most valuable of the systems presented was the manually operated emergency call system, which provides help in case of severe problems. There is an obvious and direct benefit of such a system on the one hand (Roush et al, 1995), and on the other hand it is already well established and known to the people, even though most of the interviewees did not have this technology. Similar results have been reported in the literature (Demiris et al, 2004Mann et al, 2005).…”
Section: Acceptance Of Assistive Technologiesmentioning
confidence: 99%