292 resultados para Cicle de fred


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Le modèle développé à l'Institut universitaire dedecine sociale et préventive de Lausanne utilise un programme informatique pour simuler les mouvements d'entrées et de sorties des hôpitaux de soins généraux. Cette simulation se fonde sur les données récoltées de routine dans les hôpitaux; elle tient notamment compte de certaines variations journalières et saisonnières, du nombre d'entrées, ainsi que du "Case-Mix" de l'hôpital, c'est-à-dire de la répartition des cas selon les groupes cliniques et l'âge des patients.

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L'objet de ce cahier est de décrire la méthode de construction d'un système de "Case MiX" qui, en se fondant sur les DRG, ne décrit plus seulement la clientèle hospitalière en fonction des diagnostics principaux mais aussi des comorbidités ou complications recensées et des interventions chirurgicales subies.

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Thèse (Méd.) - Université de Lausanne, 1986. - Bibliographie p. 111-121

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L'article se propose de discuter la question des modalités de la référence aux évangiles au cinéma en s'attachant à l'étude de la composante verbale et de ses liens avec la représentation de la figure christique dans deux films: le premier, Ben-Hur (Fred Niblo, 1925), est une superproduction produite par Hollywood à l'époque de l'apogée du muet; le second, Golgotha (1935), est réalisé par le cinéaste français Julien Duvivier durant les premières années de la généralisation du parlant. D'un côté l'écrit (sous forme d'intertitres), de l'autre la profération orale d'un texte. Le rapprochement proposé entre ces deux films tient à la façon dont la citation néotestamentaire participe à la construction par le film de la figure de Jésus, ou plutôt à la mise à distance de celle-ci, constamment rejetée dans une forme de hors-champ.

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Objective: to assess the between and within-device reproducibility, as well as within-day variability of body fat measurements. Methods: body fat percentage (%BF) was measured twice on seventeen female students aged between 18 and 20 with a body mass index of 21.9 22.6 kg/m2 (mean SD) using seven bipolar bioelectrical impedance devices (BF-306) according to the manufacturer's recommendations. Each student was also measured each hour between 7:00 and 22:00. Statistical analysis was conducted using a general linear model for repeated measurements. Results: the correlation between first and second measurements was very high (Pearson r between 0.985 and 1.000, p<0.001), as well as the correlation between devices (Pearson r between 0.986 and 0.999, all p<0.001). Repeated measurements analysis showed no differences were between devices (F test=0.83, p=0.59) or readings (first vs. second: F test=0.12, p=0.74). Conversely, significant differences were found between assessment periods throughout the day, measurements made in the morning being lower than those made in the afternoon. Assuming an overall daily average of 100 (based on all measurements), the values were 95.8 3.2 (mean SD) at 8:00 versus 101.3 3.0 at 20:00, corresponding to a mean change of 2.2 1.1 in %BF (F test for repeated values=6.58, p<0.001). Conclusions: the between and within-device reproducibility for measuring body fat is high, enabling the use of multiple devices in a single study. Conversely, small but significant changes in body fat measurements occur during the day, urging body fat measurements to be performed at fixed times.

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Sponsored by the Health Administrations of nine cantons, this study was conducted by the University Institute of Social and Preventive Medicine in Lausanne in order to assess how DRGs could be used within the Swiss context. A data base mainly provided by the Swiss VESKA statistics was used. The first step provided the transformation of Swiss diagnostic and intervention codes into US codes, allowing direct use of the Yale Grouper for DRG. The second step showed that the overall performance of DRG in terms of variability reduction of the length of stay was similar to the one observed in US; there are, however, problems when the homogeneity of medicotechnical procedures for DRG is considered. The third steps showed how DRG could be used as an account unit in hospital, and how costs per DRG could be estimated. Other examples of applications of DRG were examined, for example comparison of Casemix or length of stay between hospitals.