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Unfair Inequalities In Health And Health Care

机译:卫生保健方面的不公平不平等

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Inequalities in health and health care are caused by different factors. Measuring "unfair" inequalities implies that a distinction is introduced between causal variables leading to ethically legitimate inequalities and causal variables leading to ethically illegitimate inequalities. An example of the former could be life-style choices, an example of the latter is social background. We show how to derive measures of unfair inequalities in health and in health care delivery from a structural model of health care and health production: "direct unfairness", linked to the variations in medical expenditures and health in the hypothetical distribution in which all legitimate sources of variation are kept constant; "fairness gap", linked to the differences between the actual distribution and the hypothetical distribution in which all illegitimate sources of variation have been removed. These two approaches are related to the theory of fair allocation. In general they lead to different results. We propose to analyse the resulting distributions with the traditional apparatus of Lorenz curves and inequality measures. We compare our proposal to the more common approach using concentration curves and analyse the relationship with the methods of direct and indirect standardization. We discuss how inequalities in health care can be integrated in an overall evaluation of social inequality.
机译:保健和保健方面的不平等是由不同因素造成的。衡量“不公平”不平等意味着在导致伦理上合法的不平等的因果变量和导致伦理上不合法的不平等的因果变量之间进行了区分。前者的一个例子可能是生活方式的选择,后者的一个例子是社会背景。我们展示了如何从卫生保健和卫生生产的结构模型中得出卫生和卫生保健提供中不公平不平等的衡量指标:“直接不公平”,与所有合理来源的假设分布中医疗支出和健康的变化相关联的变化保持恒定; “公平差距”,与实际分布和假设分布之间的差异相关,在该分布中,所有非法的变异源均已被消除。这两种方法与公平分配理论有关。通常,它们导致不同的结果。我们建议使用传统的Lorenz曲线和不等式测度来分析结果分布。我们将我们的建议与使用浓度曲线的更常用方法进行比较,并分析与直接和间接标准化方法之间的关系。我们讨论了如何将卫生保健中的不平等现象纳入社会不平等现象的总体评估中。

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