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Medicaid, Medicare, and the Michigan Tumor Registry: a linkage strategy.

机译:医疗补助,医疗保险和密歇根州肿瘤登记处:一种联系策略。

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摘要

The study of health outcomes and the reduction in health disparities is at the forefront of the nation's health care agenda. A theme in the disparities literature is the call for a data infrastructure that can track progress toward goals aimed at reducing differences in health outcomes. This article describes a strategy for linking Medicaid, Medicare, and Michigan Tumor Registry data for the purposes of studying disparities in cancer diagnosis, quality of care, and survival. The authors review their procedures for ensuring that a correct match between files occurred and offer guidance for merging and assessing the quality of these complex linked data sets. A cohort of 113,604 subjects (90%) from a population of 125,900 subjects was correctly linked from the Michigan Tumor Registry to Medicare and Medicaid files. Using probabilistic and deterministic methods, the prediction rate of the Medicaid match to the Michigan Tumor Registry was 93%. Approximately 13% of the subjects were dually eligible for Medicare and Medicaid. An expansive data set reflecting the Medicare and Medicaid medical service utilization and outcomes for a cohort of individuals age 65 years and older when diagnosed with cancer was created. This data set serves as a cornerstone of a health outcomes data infrastructure. The methodology described may serve as a model for other researchers seeking to create a similar data set in their state.
机译:对健康结果和减少健康差距的研究是国家医疗保健议程的最前沿。差异文献中的主题是呼吁建立一种数据基础结构,该基础结构可以跟踪实现旨在减少健康结果差异的目标的进展。本文介绍了一种链接Medicaid,Medicare和Michigan肿瘤注册中心数据的策略,目的是研究癌症诊断,护理质量和生存率方面的差异。作者审查了确保文件之间正确匹配的过程,并为合并和评估这些复杂的链接数据集的质量提供了指导。来自密歇根州肿瘤登记处与Medicare和Medicaid文件的正确链接来自125900名受试者中的113604名受试者(占90%)。使用概率和确定性方法,对密歇根州肿瘤登记处进行医疗补助的预测率为93%。大约13%的受试者双重符合Medicare和Medicaid的资格。创建了一个广泛的数据集,该数据集反映了65岁及65岁以上被诊断患有癌症的一组人的医疗保险和医疗补助医疗服务使用情况以及结果。此数据集是健康结果数据基础结构的基石。所描述的方法可以作为其他研究人员在其状态下寻求创建相似数据集的模型。

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