4 resultados para Gross national product

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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Background. The aim of this paper was to clarify if previously established prognostic factors explain the different mortality, rates observed in ICU septic patients around the world. Methods. This is a sub-study from the PROGRESS study, which was an international, prospective, observational registry of ICU patients with severe sepsis. For this study we included 10930 patients from 24 countries that enrolled more than 100 patients in the PROGRESS. The effect of potential prognostic factors on in-hospital mortality was examined using univariate and multivariate logistic regression. The complete set of data was available for 7022 patients, who were considered in the multivariate analysis. Countries were classified according to country, income, development status, and in-hospital mortality terciles. The relationship between countries' characteristics and hospital mortality mortality was evaluated using linear regression. Results. Mean in-hospital mortality was 49.2%. Severe sepsis in-hospital mortality varied widely in different countries, ranging from 30.6% in New Zealand to 80.4% in Algeria. Classification as developed or developing country was not associated with in-hospital mortality (P=0.16), nor were levels of gross national product per capita (P=0.15). Patients in the group of countries with higher in-hospital mortality, had a crude OR for in-hospital death of 2.8 (95% CI 2.5-3.1) in comparison to those in the lower risk group. After adjustments were made for all other independent variables, the OR changed to 2.9 (95% CI 2.5-3.3). Conclusion. Severe sepsis mortality varies widely, in different countries. All known markers of disease severity and prognosis do not fully, explain the international differences in mortality,. Country, income does not explain this disparity, either. Further studies should be developed to verify if other organizational or structural factors account for disparities in patient care and outcomes. (Minerva Anestesiol 2012;78:1215-25)

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The CHAINPlan method developed by Neves (2007) is a practical tool which can be used to construct strategic plans for production chains. A preliminary step in this process includes mapping and quantifying the production chain. We present the results of applying the method to one of the most important agribusiness chains in Brazil-the cotton sector. The Gross Domestic Product for the cotton sector in the 2010-2011 crop year was estimated at nearly $19.2 billion. We show the interconnections between the links in the chain and its ability to generate revenues, taxes and jobs.

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In the debate over the construction of the Brazilian national state, we assume that this process has established itself at the heart of a fragmentary appreciation of their aesthetic variants, forming a controversial ideology spatial sense of identity to the nation. progress, modernization and territorial integration emerge as slogans on the link between the imagined nation, Brazil Imperial, and the nation as concretized throughout the twentieth century, despite the discourse and actions in the rescue culture synthesis Brazilianness. It is evident, that scope, a tendency to think the nation more as a product of a cultural elite (fragments of baroque and colonial cities consecrated) than through symbols forming territories hybrids representatives of all of their constructors: the antagonistic protagonists.

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Supply chain starts with a demand arisen and ends with material transport and delivery at its final destination. With this in mind, most of manufacturing, processors or distribution companies of consumer goods, spare parts and components for production, processing and finished goods, within national or international markets, may not have information and control over its supply chain performance. This article presents concept and logistics models evolution, purchase order and international supplier management, control tower and its logistics information systems. This also presents a real process implementation for a global high tech manufacturer company.