8 resultados para Childcare facilities

em BORIS: Bern Open Repository and Information System - Berna - Suiça


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The purpose of this investigation was to describe the use of linezolid in pediatric inpatient facilities. A retrospective multicenter survey including data from nine participating tertiary care pediatric inpatient facilities in Germany and Austria was undertaken. Data on 126 off-label linezolid treatment courses administered to 108 patients were documented. The survey comprises linezolid treatment in a broad spectrum of clinical indications to children of all age groups; the median age was 6.8 years (interquartile range 0.6-15.5 years; range 0.1-21.2 years; ten patients were older than 18 years of age but were treated in pediatric inpatient units). Of the 126 treatment courses, 27 (21%) were administered to preterm infants, 64 (51%) to pediatric oncology patients, and 5% to patients soon after liver transplantation. In 25%, the infection was related to a medical device. Linezolid iv treatment was started after intensive pre-treatment (up to 11 other antibiotics for a median duration of 14 days) and changed to enteral administration in only 4% of all iv courses. In 39 (53%) of 74 courses administered to children older than 1 week and younger than 12 years of age, the dose was not adjusted to age-related pharmacokinetic parameters. In only 17 courses (13%) was a pediatric infectious disease consultant involved in the clinical decision algorithm. Linezolid seemed to have contributed to a favorable outcome in 70% of all treatment courses in this survey. Although retrospective, this survey generates interesting data on the off-label use of linezolid and highlights several important clinical aspects in which the use of this rescue antibiotic in children might be improved.

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Dental undertreatment is often seen in the older population. This is particularly true for the elderly living in nursing homes and geriatric hospitals. The progression of chronic diseases results in loss of their independence. They rely on daily support and care due to physical or mental impairment. The visit of a dentist in private praxis becomes difficult or impossible and is a logistic problem. These elderly patients are often not aware of oral and dental problems or these are not addressed. The geriatric hospital Bern, Ziegler, has integrated dental care in the concept of physical rehabilitation of geriatric patients. A total of 139 patients received dental treatment in the years 2005/2006. Their mean age was 83 years, but the segment with > 85 years of age amounted to 46%. The general health examinations reveald multiple and complex disorders. The ASA classification (American Society of Anesthesiologists, Physical Status Classification System) was applied and resulted in 15% = P2 (mild systemic disease, no functional limitation), 47% = P3 (severe systemic disease, definite functional limitations) and 38% = P4 (severe systemic disease, constant threat to life). Eighty-seven of the patients exhibited 3 or more chronic diseases with a prevalence of cardiovascular diseases, musculoskelettal disorders and dementia. Overall the differences between men and women were small, but broncho-pulmonary dieseases were significantly more frequent in women, while men were more often diagnosed with dementia and depression. Verbal communication was limited or not possible with 60% of the patients due to cognitive impairment or aphasia after a stroke. Although the objective treatment need is high, providing dentistry for frail and geriatric patients is characterized by risks due to poor general health conditions, difficulties in communication, limitations in feasibility and lack of adequate aftercare. In order to prevent the problem of undertreatment, elderly independently living people should undergo dental treatment regularly and in time. Training of nurses and doctors of geriatric hospitals in oral hygiene should improve the awareness. A multidisciplinary assessment of geriatric patients should include the oral and dental aspect if they enter the hospital.

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Moose is a powerful reverse engineering platform, but its facilities and means to analyze software are separated from the tools developers typically use to develop and maintain their software systems: development environments such as Eclipse, VisualWorks, or Squeak. In practice, this requires developers to work with two distinct environments, one to actually develop the software, and another one (e.g., Moose) to analyze it. We worked on several different techniques, using both dynamic and static analyzes to provide software analysis capabilities to developers directly in the IDE. The immediate availability of analysis tools in an IDE significantly increases the likelihood that developers integrate software analysis in their daily work, as we discovered by conducting user studies with developers. Finally, we identified several important aspect of integrating software analysis in IDEs that need to be addressed in the future to increase the adoption of these techniques by developers.

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We consider collective decision problems given by a profile of single-peaked preferences defined over the real line and a set of pure public facilities to be located on the line. In this context, Bochet and Gordon (2012) provide a large class of priority rules based on efficiency, object-population monotonicity and sovereignty. Each such rule is described by a fixed priority ordering among interest groups. We show that any priority rule which treats agents symmetrically — anonymity — respects some form of coherence across collective decision problems — reinforcement — and only depends on peak information — peakonly — is a weighted majoritarian rule. Each such rule defines priorities based on the relative size of the interest groups and specific weights attached to locations. We give an explicit account of the richness of this class of rules.

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Population growth is always increasing, and thus the concept of smart and cognitive cities is becoming more important. Developed countries are aware of and working towards needed changes in city management. However, emerging countries require the optimization of their own city management. This chapter illustrates, based on a use case, how a city in an emerging country can quickly progress using the concept of smart and cognitive cities. Nairobi, the capital of Kenya, is chosen for the test case. More than half of the population of Nairobi lives in slums with poor sanitation, and many slum inhabitants often share a single toilet, so the proper functioning and reliable maintenance of toilets are crucial. For this purpose, an approach for processing text messages based on cognitive computing (using soft computing methods) is introduced. Slum inhabitants can inform the responsible center via text messages in cases when toilets are not functioning properly. Through cognitive computer systems, the responsible center can fix the problem in a quick and efficient way by sending repair workers to the area. Focusing on the slum of Kibera, an easy-to-handle approach for slum inhabitants is presented, which can make the city more efficient, sustainable and resilient (i.e., cognitive).