Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil.
Record linkage under suboptimal conditions for data-intensive evaluation of primary care in Rio de Janeiro, Brazil.
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DOI：
10.1186/s12911-021-01550-6
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发表时间：
2021-06-15
影响因子：
3.5
通讯作者：
Durovni B
中科院分区：
文献类型：
--
作者：
Coeli CM;Saraceni V;Medeiros PM Jr;da Silva Santos HP;Guillen LCT;Alves LGSB;Hone T;Millett C;Trajman A;Durovni B
链接巴西数据库需要开发算法和程序，以应对各种挑战，包括数据库规模庞大、可供比较的个人身份识别资料数量少且质量差（国家安全号码不是强制性的），以及巴西姓名的某些特点使链接过程容易出错。本研究的目的是描述和评估用于创建一个个人链接的数据库，在巴西里约热内卢市扩大初级保健的健康指标的影响的数据密集型研究的过程的质量。我们创建了一个个人层面的数据集，将社会福利领取者、初级卫生保健、住院和死亡率数据联系起来。对数据库进行了预处理，我们采用了一种多方法策略，将确定性和概率性记录链接技术相结合，并对潜在匹配进行了广泛的文书审查。依靠人工审查作为金标准，我们估计了每种方法（确定性，概率性，文书审查）的假匹配（假阳性）比例和文书审查方法的漏匹配比例（假阴性）。为了评估识别社会福利领取者死亡的敏感性（回忆），我们使用他们在初级保健数据库中登记的生命状态作为金标准。在所有的链接过程中，确定性的方法确定了大多数的匹配。然而，每种方法中确定的匹配比例各不相同。在几乎所有的方法中，错误匹配比例都在1%左右或更少。所有联系流程的文书审查方法的漏匹配比例均低于3%。我们估计社会福利领取者和死亡率数据之间的联系的召回率为93.6%（95%CI 92.8-94.3）。采用一个链接策略相结合的预处理程序，确定性和概率策略，以及广泛的文书审查的方法，最大限度地减少链接错误的情况下，次优的数据质量。
Linking Brazilian databases demands the development of algorithms and processes to deal with various challenges including the large size of the databases, the low number and poor quality of personal identifiers available to be compared (national security number not mandatory), and some characteristics of Brazilian names that make the linkage process prone to errors. This study aims to describe and evaluate the quality of the processes used to create an individual-linked database for data-intensive research on the impacts on health indicators of the expansion of primary care in Rio de Janeiro City, Brazil. We created an individual-level dataset linking social benefits recipients, primary health care, hospital admission and mortality data. The databases were pre-processed, and we adopted a multiple approach strategy combining deterministic and probabilistic record linkage techniques, and an extensive clerical review of the potential matches. Relying on manual review as the gold standard, we estimated the false match (false-positive) proportion of each approach (deterministic, probabilistic, clerical review) and the missed match proportion (false-negative) of the clerical review approach. To assess the sensitivity (recall) to identifying social benefits recipients’ deaths, we used their vital status registered on the primary care database as the gold standard. In all linkage processes, the deterministic approach identified most of the matches. However, the proportion of matches identified in each approach varied. The false match proportion was around 1% or less in almost all approaches. The missed match proportion in the clerical review approach of all linkage processes were under 3%. We estimated a recall of 93.6% (95% CI 92.8–94.3) for the linkage between social benefits recipients and mortality data. The adoption of a linkage strategy combining pre-processing routines, deterministic, and probabilistic strategies, as well as an extensive clerical review approach minimized linkage errors in the context of suboptimal data quality.
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影响因子：
15.8
作者：
Hone T;Saraceni V;Medina Coeli C;Trajman A;Rasella D;Millett C;Durovni B
通讯作者：
Durovni B
DOI：
10.1590/s0102-311x2010000700022
发表时间：
2010-07-01
期刊：
Cadernos de Saúde Pública
影响因子：
--
作者：
Fonseca, Maria Goretti Pereira;Coeli, Cláudia Medina;Carvalho, Marilia Sá
通讯作者：
Carvalho, Marilia Sá
影响因子：
3.5
作者：
Randall SM;Ferrante AM;Boyd JH;Semmens JB
通讯作者：
Semmens JB
影响因子：
--
作者：
Coeli, Cláudia Medina;Camargo Jr., Kenneth Rochel de
通讯作者：
Camargo Jr., Kenneth Rochel de
DOI：
10.1590/s0034-89102003000100014
发表时间：
2003-02-01
期刊：
Revista de Saúde Pública
影响因子：
--
作者：
Coeli, Cláudia Medina;Blais, Régis;Almeida, Liz Maria de
通讯作者：
Almeida, Liz Maria de