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Measuring the Health Status Gap for American Indians/Alaska Natives: Getting Closer to the Truth

机译:测量美洲印第安人/阿拉斯加原住民的健康状况差距:更接近真相

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摘要

Objectives. We compared the historical method of calculating cancer incidence rates with 2 new methods to determine which approach optimally estimates the burden of cancer among the Northwest American Indian/Alaska Native (AIAN) population.Methods. The first method replicates the traditional way of calculating race-specific rates, and the 2 new methods use probabilistic record linkages to ascertain cancer cases. We indirectly adjusted all rates to the standard 2000 US population.Results. Whereas the historical cancer incidence rates for all races are more than double those for the AIAN population, this apparent gap is considerably narrower when the all-race rates are compared with AIAN-specific rates calculated with probabilistic linkage methods. Similarly, there is no meaningful difference in incidence rates for selected site- and gender-specific cancers between the AIAN population and all races combined, and, in fact, some of these rates may be higher among the AIAN population.Conclusions. Our results suggest that the burden of cancer among the AIAN population is considerably higher than was previously understood. We recommend that a standardized approach based on probabilistic linkage methods be adopted and that adequate financial and technical support be made available for conducting routine linkage studies throughout Indian communities.
机译:目标。我们将计算癌症发生率的历史方法与2种新方法进行了比较,以确定哪种方法可以最佳地估计西北印第安人/阿拉斯加原住民(AIAN)人群中的癌症负担。第一种方法复制了传统的计算特定种族比率的方法,而第二种新方法则使用概率记录链接来确定癌症病例。我们间接地将所有费率调整为2000美国标准人口。结果。尽管所有种族的历史癌症发病率是AIAN人口的历史发病率的两倍以上,但是当将所有种族的发生率与通过概率连锁方法计算的AIAN特定发生率进行比较时,这个明显的差距将大大缩小。同样,在AIAN人群和所有种族之间,特定部位和性别特异性癌症的发病率也没有有意义的差异,事实上,其中一些比率在AIAN人群中可能更高。我们的结果表明,AIAN人群中的癌症负担大大高于以前的理解。我们建议采用基于概率关联方法的标准化方法,并为在整个印度社区进行常规关联研究提供足够的资金和技术支持。

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