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Analysis of hospital admissions associated factors in Brazil

机译:巴西医院住院相关因素分析

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The objective was to identify hospital admission associated factors in Brazil, analyzing if that utilization is equitable and identifying which characteristics are associated with heavy users. We analyzed data from the 1998 National Household Survey, using logistic regression and multinomial logistic regression, with normalized weights and statistical techniques to correct for design effect. We used Andersen's Behavioral Model as the theoretical model for this analysis. In model adjusted for health needs and enabling factors, people with smaller income had more chance of being admitted to hospital; and in model adjusted only for health needs people with larger income had more chance. All need variables were less related to use for people with two hospital admissions, in comparison with those with more than two admissions; and there was no association between social variables and occurrence of two admissions, but this association occurred for three or more admissions. The reduction of social inequalities in the aspects that "enable" people to use hospital admissions would reduce inequalities in this use. A health system that offers a "regular health service", besides low or any payment in the moment of use, would have a positive impact in the equity of hospital admission utilization in Brazil.
机译:目的是确定巴西医院入院的相关因素,分析这种利用是否合理,并确定哪些特征与重度使用者有关。我们使用logistic回归和多项式logistic回归分析了1998年全国家庭调查的数据,并使用归一化权重和统计技术来校正设计效果。我们使用安徒生的行为模型作为该分析的理论模型。在根据健康需求和促成因素进行调整的模型中,收入较低的人更有可能被送进医院;在仅针对健康需求进行调整的模型中,收入较高的人有更多机会。与两次以上住院的患者相比,所有需要变量与两次住院患者的使用相关性较低。社会变量与两次录取的发生之间没有关联,但是这种关联发生在三个或更多录取中。在使人们“能够”使用医院住院证方面减少社会不平等,将减少这种使用中的不平等。一个提供“常规医疗服务”的医疗系统,除了在使用时收取低额费用或任何其他费用外,还将对巴西医院住院利用的公平性产生积极影响。

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