Probabilistic record linkage is a valid and transparent tool to combine databases without a patient identification number

Probabilistic record linkage is a valid and transparent tool to combine databases without a patient identification number
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DOI:
10.1016/j.jclinepi.2006.11.021
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发表时间:
2007-09-01
影响因子:
7.2
通讯作者:
Bonsel, Gouke J.
Bonsel, Gouke J.
中科院分区:
医学2区
文献类型:
--
作者:
Meray, Nora;Reitsma, Johannes B.;Bonsel, Gouke J.

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目的:描述三个匿名、基于人群的荷兰围产期登记中心(助产士LVR 1、产科医生LVR 2和儿科医生/产科医生LNR)的概率联系的技术方法和后续验证。这些登记处不共享一个唯一的identification number.Study Design and Setting:概率和确定性的记录链接技术相结合,应用有关母亲,分娩和儿童(仁)的信息链接三个已知的登记处。使用最大似然估计,根据观察到的一致和不一致模式,计算相应变量之间一致的奖励和不一致的惩罚。制定了特别措施来克服双胞胎的连接困难。一个子样本的链接和nonlinked对validated.Results:独立验证证实,该程序成功地连接了三个荷兰围产期登记处,尽管非平凡的错误率在连接variables.Conclusions:Probably连接技术允许创建一个高品质的链接数据库从粗注册数据。所制定的程序一般适用于将健康数据与部分识别信息联系起来。它们提供了有用的源数据,即使队列只有部分重叠,如果在队列中,多个实体和双胞胎存在。(c)2007年爱思唯尔公司All rights reserved.
Objective: To describe the technical approach and subsequent validation of the probabilistic linkage of the three anonymous, population-based Dutch Perinatal Registries (LVR1 of midwives, LVR2 of obstetricians, and LNR of pediatricians/neonatologists). These registries do not share a unique identification number.Study Design and Setting: A combination of probabilistic and deterministic record linkage techniques were applied using information about the mother, delivery, and child(ren) to link three known registries. Rewards for agreement and penalties for disagreement between corresponding variables were calculated based on the observed patterns of agreement and disagreements using maximum likelihood estimation. Special measures were developed to overcome linking difficulties in twins. A subsample of linked and nonlinked pairs was validated.Results: Independent validation confirmed that the procedure successfully linked the three Dutch perinatal registries despite nontrivial error rates in the linking variables.Conclusions: Probabilistic linkage techniques allowed the creation of a high-quality linked database from crude registry data. The developed procedures are generally applicable in linkage of health data with partially identifying information. They provide useful source date even if cohorts are only partly overlapping and if within the cohort, multiple entities and twins exist. (c) 2007 Elsevier Inc. All rights reserved.