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In this issue

机译：在这个问题上

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This issue of The Milbank Quarterly begins and ends with a focus on disparities in health and health care, a topic of great concern in health policy and research in many countries. The first article, "Summarizing Social Disparities in Health," by Yukiko Asada, Yoko Yoshida, and Alyce Whipp, describes how disparities associated with multiple attributes such as income, education, sex, and race/ethnicity can be reported. Applying a graphical method developed by statistician Joseph Gastwirth (2007), they present data from the 2009 American Community Survey to show the relative contributions of these variables to the overall health disparity profiles of the U.S. states and the District of Columbia. The health measure they use is functional limitations, but the method can be applied to other health status measures as well. They show that race/ethnicity is the largest contributor to health disparities in thirty-four states and that socioeconomic factors are the ,major contributor in seven. In the other ten states, the two sets of factors make roughly equal contributions. The authors' major contribution is in showing how policy-relevant information about multiple sources of disparity can be presented to facilitate comparison and interpretation across reporting units or over time.
机译：本期《米尔班克季刊》的开始和结尾均以卫生和医疗保健方面的差异为重点，这是许多国家在卫生政策和研究中极为关注的话题。 Asada Yukiko，Yokoda Yoshida和Alyce Whipp的第一篇文章“总结健康中的社会差距”描述了如何报告与收入，教育，性别和种族/民族等多种属性相关的差距。他们采用了统计学家约瑟夫·加斯屈斯（Joseph Gastwirth，2007）开发的图形方法，提供了2009年美国社区调查的数据，以显示这些变量对美国各州和哥伦比亚特区整体健康差距的相对贡献。他们使用的健康度量标准是功能限制，但是该方法也可以应用于其他健康状况度量标准。他们表明，种族/民族是造成34个州健康差异最大的因素，而社会经济因素是造成七个州最主要的因素。在其他十个州中，两组因素做出的贡献大致相等。作者的主要贡献在于展示了如何显示有关多种差异来源的政策相关信息，以促进跨报告单位或随着时间的推移进行比较和解释。

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