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公共卫生数据关联的准确性。

Accuracy of public health data linkages.

作者信息

Qayad Mohamed G, Zhang Hui

机构信息

MCH Epidemiology Section, Epidemiology Branch, Georgia Division of Public Health, Georgia Department of Human Resources, Atlanta, GA, USA.

出版信息

Matern Child Health J. 2009 Jul;13(4):531-8. doi: 10.1007/s10995-008-0377-6. Epub 2008 Jun 24.

Abstract

OBJECTIVE

To evaluate the accuracy of computer-matched records for maternal and child health epidemiologic investigations.

METHODS

Using Automatch probabilistic record linkage software, we linked electronic records in Georgia for the 2001 Medicaid paid delivery claims and infant deaths of the 2001 birth cohort to 2001 births, and the 2002 newborn screening and hospital discharge data to 2002 births, using multiple variables for matching. We evaluated the accuracy of matches using a manual inspection of a subset of linked pairs and validated with external data. We assessed the agreement between two programmers who linked the same data independently to examine the reliability of the manual inspection technique, and estimated the percent matches to examine further the accuracy of linked data.

RESULTS

The percent of records matched in the data linked ranged from 90% to 100% on the measures used. The positive and negative predictive values of the computer-matched records were both 100%. The agreement between the computer-matched data and the external data on the method of payment for the delivery was 90%. The reliability of the manual inspection technique was 95%.

CONCLUSION

The computer-matched records evaluated were sufficiently accurate. This provides a unique source to public health practitioners and researchers to perform epidemiological studies that could not be possible with single sources data.

摘要

目的

评估用于母婴健康流行病学调查的计算机匹配记录的准确性。

方法

使用Automatch概率记录链接软件,我们将佐治亚州2001年医疗补助支付的分娩索赔记录以及2001年出生队列中2001年出生的婴儿死亡记录,与2002年新生儿筛查和出院数据(针对2002年出生情况)进行链接,使用多个变量进行匹配。我们通过手动检查一部分链接对来评估匹配的准确性,并使用外部数据进行验证。我们评估了两位独立链接相同数据的程序员之间的一致性,以检验手动检查技术的可靠性,并估计匹配百分比以进一步检查链接数据的准确性。

结果

在所使用的测量方法中,链接数据中匹配记录的百分比范围为90%至100%。计算机匹配记录的阳性和阴性预测值均为100%。计算机匹配数据与外部数据在分娩支付方式上的一致性为90%。手动检查技术的可靠性为95%。

结论

所评估的计算机匹配记录足够准确。这为公共卫生从业者和研究人员提供了一个独特的资源,用于开展单源数据无法进行的流行病学研究。

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