Enhancing the Power of Record Linkage Involving Low Quality Personal Identifiers: Use of the Best Link Principle and Cause of Death Prior Likelihoods

Margaret C.M. MacLeod , Caroline A. Bray , Stephen W. Kendrick , Stuart M. Cobbe
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引用次数: 17

Abstract

The Heartstart Scotland study collects details of all resuscitation attempts carried out by the Scottish Ambulance Service. The linkage between records for Heartstart study subjects who died before admission to a hospital and the national file of death records maintained by the Registrar General for Scotland is described. The conditions under which the Heartstart data is collected make it inevitable that the personal identifying information on which linkage must rely tends to be relatively incomplete and of low accuracy. The linkage process was able to use the best-link principle to take maximum advantage of the fact that, because the Heartstart subjects involved had died, there was an extremely high a priori probability that they would be represented on the national deaths file. In addition, although no cause of death information was recorded on the Heartstart records, a priori expectations of the distribution of causes of death among linked death records were used. Despite these enhancements, however, clerical resolution of a proportion of the potential links generated by the automatic algorithm significantly improved the accuracy of the linkage.

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提高涉及低质量个人标识符的记录链接的能力:使用最佳链接原则和死因先验似然
苏格兰心脏启动研究收集了苏格兰救护车服务中心进行的所有复苏尝试的细节。描述了入院前死亡的心脏起跳研究对象的记录与苏格兰登记总局保存的全国死亡记录档案之间的联系。在采集Heartstart数据的条件下,联动所依赖的个人识别信息往往相对不完整,准确性较低。联系过程能够利用最佳联系原则最大限度地利用这样一个事实,即由于涉及的Heartstart受试者已经死亡,因此他们在国家死亡档案中有极高的先验概率。此外,虽然在Heartstart记录中没有记录死亡原因信息,但使用了相关死亡记录中死亡原因分布的先验预期。尽管有这些改进,但是,自动算法生成的一部分潜在链接的文书分辨率显着提高了链接的准确性。
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