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一种避免人工审核的连锁研究可行方法:澳大利亚全国艾滋病毒/艾滋病监测数据库与全国死亡索引的连锁。

A feasible method for linkage studies avoiding clerical review: linkage of the national HIV/AIDS surveillance databases with the National Death Index in Australia.

作者信息

Nakhaee Fatemeh, McDonald Ann, Black Deborah, Law Matthew

机构信息

National Centre in HIV Epidemiology and Clinical Research, Faculty of Medicine, University of New South Wales.

出版信息

Aust N Z J Public Health. 2007 Aug;31(4):308-12. doi: 10.1111/j.1753-6405.2007.00076.x.

Abstract

OBJECTIVE

To assess the sensitivity and specificity of linkage of HIV/AIDS diagnoses in Australia to the National Death Index (NDI).

METHODS

An aggregated file containing 19,772 matched HIV/AIDS diagnoses reported to the national HIV/AIDS databases from 1980 to 30 June 2004 was linked to the NDI using probabilistic linkage methods based on the namecode, date of birth, and sex as identifiers. Based on the 6,900 HIV/AIDS known deaths reported by 1 January 2003 and 1,455 known non-deaths with an active follow-up beyond 1 January 2003, the different combinations of weights assigned to matched pairs were examined to obtain maximum sensitivity and specificity.

RESULTS

The trade-off between sensitivity and specificity was used to obtain an optimal linkage. The optimal linkage was found to link 5,658 of the 6,900 HIV/AIDS known deaths (a sensitivity of 82%), and 116 false positives of the 1,455 known not deaths (specificity of 92%). Causes of deaths were recorded for 86.5% of deaths that were linked to the NDI.

CONCLUSION

This is a feasible method for conducting linkage studies if both the identifying deaths and non-deaths are available. The relatively poor sensitivity could be due to limited identifiers available for linkage on the HIV/AIDS databases.

摘要

目的

评估澳大利亚将艾滋病病毒/艾滋病诊断与国家死亡索引(NDI)进行关联的敏感性和特异性。

方法

使用基于姓名代码、出生日期和性别作为标识符的概率关联方法,将一个汇总文件(包含1980年至2004年6月30日向国家艾滋病病毒/艾滋病数据库报告的19772条匹配的艾滋病病毒/艾滋病诊断信息)与国家死亡索引进行关联。基于2003年1月1日前报告的6900例已知的艾滋病病毒/艾滋病死亡病例以及2003年1月1日后仍在积极随访的1455例已知非死亡病例,对分配给匹配对的不同权重组合进行了研究,以获得最大的敏感性和特异性。

结果

利用敏感性和特异性之间的权衡来获得最佳关联。发现最佳关联能够关联6900例已知艾滋病病毒/艾滋病死亡病例中的5658例(敏感性为82%),以及1455例已知非死亡病例中的116例假阳性病例(特异性为92%)。与国家死亡索引关联的死亡病例中,86.5%记录了死亡原因。

结论

如果既有识别死亡病例又有识别非死亡病例的信息,这是一种进行关联研究的可行方法。相对较低的敏感性可能是由于艾滋病病毒/艾滋病数据库中可用于关联的标识符有限。

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