Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort
Examining the quality of record linkage process using nationwide Brazilian administrative databases to build a large birth cohort
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DOI：
10.1186/s12911-020-01192-0
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发表时间：
2020-07-25
影响因子：
3.5
通讯作者：
Barreto, Mauricio L.
中科院分区：
文献类型：
--
作者：
Almeida, Daniela;Gorender, David;Barreto, Mauricio L.
近年来，使用非研究目的收集的基于人口的关联常规数据的研究有所增加，因为它们是丰富和详细的信息来源。本研究的目的是提出一种方法来准备和连接数据从行政来源在中等收入国家，估计其质量，并通过比较连接和非连接的个人，以确定潜在的偏差来源。方法我们使用孕产妇属性将两个管理数据集与2001年至2015年的数据相关联（姓名、年龄、出生日期和居住地）活产信息系统和1亿巴西队列（利用1.14亿多人的行政记录创建，这些人的家庭通过社会方案统一登记册申请社会援助）实施内部开发的链接工具CIDACS-RL。然后，我们估计了高度可能链接的比例，并检查了不匹配的特征，以确定任何潜在的偏倚来源。结果共有27，699，891例活产婴儿与1亿巴西队列数据集基线中记录的孕产妇信息相关联，其中16，447，414例（59.4%）儿童在1亿巴西队列数据集中登记。高度可能联系的比例从2001年的39.3%到2014年的82.1%不等。在2011年引入产妇出生日期属性后，这种联系有了很大改善。我们的分析表明，与非连锁集相比，在错过的匹配中，缺失数据的比例略高，生活在城市地区的人的比例较高，并且在连锁对中自称为高加索人。讨论我们证明，CIDACS-RL是能够执行高质量的连接，即使与有限数量的共同属性，使用indexability作为一个阻塞策略，在大型常规数据库从中等收入国家。然而，残留记录发生在生活条件较差的人群中。在这项研究中提出的结果加强了需要评估的连锁质量，并在必要时考虑到任何生成的数据集的分析连锁错误。
Background Research using linked routine population-based data collected for non-research purposes has increased in recent years because they are a rich and detailed source of information. The objective of this study is to present an approach to prepare and link data from administrative sources in a middle-income country, to estimate its quality and to identify potential sources of bias by comparing linked and non-linked individuals. Methods We linked two administrative datasets with data covering the period 2001 to 2015, using maternal attributes (name, age, date of birth, and municipally of residence) from Brazil: live birth information system and the 100 Million Brazilian Cohort (created using administrative records from over 114 million individuals whose families applied for social assistance via the Unified Register for Social Programmes) implementing an in house developed linkage tool CIDACS-RL. We then estimated the proportion of highly probably link and examined the characteristics of missed-matches to identify any potential source of bias. Results A total of 27,699,891 live births were submited to linkage with maternal information recorded in the baseline of the 100 Million Brazilian Cohort dataset of those, 16,447,414 (59.4%) children were found registered in the 100 Million Brazilian Cohort dataset. The proportion of highly probably link ranged from 39.3% in 2001 to 82.1% in 2014. A substantial improvement in the linkage after the introduction of maternal date of birth attribute, in 2011, was observed. Our analyses indicated a slightly higher proportion of missing data among missed matches and a higher proportion of people living in an urban area and self-declared as Caucasian among linked pairs when compared with non-linked sets. Discussion We demonstrated that CIDACS-RL is capable of performing high quality linkage even with a limited number of common attributes, using indexation as a blocking strategy in larg e routine databases from a middle-income country. However, residual records occurred more among people under worse living conditions. The results presented in this study reinforce the need of evaluating linkage quality and when necessary to take linkage error into account for the analyses of any generated dataset.