A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity
A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity
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DOI：
10.1111/j.1475-6773.2008.00854.x
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发表时间：
2008-10-01
影响因子：
3.4
通讯作者：
Lurie, Nicole
中科院分区：
文献类型：
--
作者：
Elliott, Marc N.;Fremont, Allen;Lurie, Nicole
客观的。使用行政记录有效估计种族/民族，以促进医疗保健组织在无法获得自我报告的种族/民族数据时解决差异问题。数据源。来自国家健康计划 1,973,362 名参与者的姓氏、地理编码的居住地址和自我报告的种族/民族。研究设计。我们将结合姓氏和地理编码信息来估计种族/民族的贝叶斯方法的准确性与其他两种间接方法进行了比较：结合姓氏和地理编码信息的非贝叶斯方法以及单独的地理编码信息。我们评估了估计 (1) 个体种族/民族和 (2) 人口中总体种族/民族流行率的准确性。主要发现。贝叶斯方法在估计个体种族/民族方面比单独的地理编码效率高 74%，在估计种族/族裔群体的流行率方面效率高 56%，在这两项指标上均优于非贝叶斯混合方法。在估计个体种族/民族方面，非贝叶斯混合比单独的地理编码更有效，但在流行率方面效率较低 (p
Objective. To efficiently estimate race/ethnicity using administrative records to facilitate health care organizations' efforts to address disparities when self-reported race/ethnicity data are unavailable.Data Source. Surname, geocoded residential address, and self-reported race/ethnicity from 1,973,362 enrollees of a national health plan.Study Design. We compare the accuracy of a Bayesian approach to combining surname and geocoded information to estimate race/ethnicity to two other indirect methods: a non-Bayesian method that combines surname and geocoded information and geocoded information alone. We assess accuracy with respect to estimating (1) individual race/ethnicity and (2) overall racial/ethnic prevalence in a population.Principal Findings. The Bayesian approach was 74 percent more efficient than geocoding alone in estimating individual race/ethnicity and 56 percent more efficient in estimating the prevalence of racial/ethnic groups, outperforming the non-Bayesian hybrid on both measures. The non-Bayesian hybrid was more efficient than geocoding alone in estimating individual race/ethnicity but less efficient with respect to prevalence (p