993 resultados para ILL service


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The aim of this study is to provide an instrument for measuring service quality in sports enterprises from the point of view of the customers. For this purpose we intend to elaborate an enquiry starting out from a more general scale called SERVIQUAL. We have limited our research project to sports enterprises where the customer participates actively, i.e., we have excluded sports clubs and other organizations which offer sport as entertainment. Our choice is mainly due to the fact that few studies have been carried out in this area and that sports has been earning an increasing amount of adepts during the last decades in Spain. The DELPHI method has been applied with the collaboration of a panel of experts in order to evaluate the viability and adequacy of the modified SERVQUAL scale.

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Background: Development of three classification trees (CT) based on the CART (Classification and Regression Trees), CHAID (Chi-Square Automatic Interaction Detection) and C4.5 methodologies for the calculation of probability of hospital mortality; the comparison of the results with the APACHE II, SAPS II and MPM II-24 scores, and with a model based on multiple logistic regression (LR). Methods: Retrospective study of 2864 patients. Random partition (70:30) into a Development Set (DS) n = 1808 and Validation Set (VS) n = 808. Their properties of discrimination are compared with the ROC curve (AUC CI 95%), Percent of correct classification (PCC CI 95%); and the calibration with the Calibration Curve and the Standardized Mortality Ratio (SMR CI 95%). Results: CTs are produced with a different selection of variables and decision rules: CART (5 variables and 8 decision rules), CHAID (7 variables and 15 rules) and C4.5 (6 variables and 10 rules). The common variables were: inotropic therapy, Glasgow, age, (A-a)O2 gradient and antecedent of chronic illness. In VS: all the models achieved acceptable discrimination with AUC above 0.7. CT: CART (0.75(0.71-0.81)), CHAID (0.76(0.72-0.79)) and C4.5 (0.76(0.73-0.80)). PCC: CART (72(69- 75)), CHAID (72(69-75)) and C4.5 (76(73-79)). Calibration (SMR) better in the CT: CART (1.04(0.95-1.31)), CHAID (1.06(0.97-1.15) and C4.5 (1.08(0.98-1.16)). Conclusion: With different methodologies of CTs, trees are generated with different selection of variables and decision rules. The CTs are easy to interpret, and they stratify the risk of hospital mortality. The CTs should be taken into account for the classification of the prognosis of critically ill patients.

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QUESTION: In the ageing European population, the proportion of interventions by the emergency medical services (EMS) for elderly patients is increasing, but little is known about the recent trend of EMS interventions in nursing homes. The aim of this analysis was to describe the evolution of the incidence of requests for prehospital EMS interventions for nursing home residents aged 65 years and over between 2004 and 2013. METHODS: A prospective population-based register of routinely collected data for each EMS intervention in the Canton of Vaud. Linear time trends of incidence of requests to the EMS in nursing homes were calculated and stratified by age categories. RESULTS: The number of ambulance interventions in nursing homes for people aged 65 years and over (65+) increased by 68.9% (1124‒1898) between 2004 and 2013. A significant linear increase of the annual incidence of requests to EMS per 1,000 nursing home residents was found for people aged 65-79 (10.2, 95% confidence interval [CI] 6.2-14.2), 80-89 (16.5, 95% CI 14.0-19.0) and over 90 (12.1, 95% CI 5.8-18.4). EMS interventions in nursing home residents who required an emergency physician increased during the same period by 205.6% (from 106 to 324), representing an increase from 2% to 7% of all emergency physician interventions in the Canton. CONCLUSIONS: Our results confirmed an important increase in the incidence of EMS interventions in nursing homes during the last decade, far exceeding the actual increase of the nursing home population during the same period. This evolution represents an important opportunity to reconsider the EMS missions in the context of an ageing society.

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En el presente artículo se revisan las limitaciones de aplicación del método del Número de Curva del Soil Conservation Service, modelo conceptual ampliamente difundido para el cálculo de la escorrentía originada por una tormenta. Si bien es cierto que el método posee una serie de capacidades y ventajas que han motivado su éxito en la modelación hidrológica, en particular su simplicidad de uso y la economía en la obtención de los datos físicos necesarios, no es menos cierto que deben contemplarse una serie de restricciones de aplicación. La amplia difusión de la que ha sido objeto ha propiciado la discusión y revisión crítica del modelo, acotando paulatinamente sus límites. Entre los más significativos de éstos, destacan la necesidad de regionalizar, a partir de campañas de aforos, ciertas hipótesis y parámetros del método, así como las precauciones que deben adoptarse si se aplica a cuencas forestales densas con suelos muy permeables.