Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data.
Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data.
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DOI：
10.12688/gatesopenres.12751.2
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发表时间：
2017
影响因子：
--
通讯作者：
Reniers G
中科院分区：
文献类型：
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作者：
Rentsch CT;Kabudula CW;Catlett J;Beckles D;Machemba R;Mtenga B;Masilela N;Michael D;Natalis R;Urassa M;Todd J;Zaba B;Reniers G
将健康和人口监测系统与来自为健康和人口监测系统人口提供服务的卫生设施的数据相联系，可以建立一个研究基础设施，用于直接观察有关获得和利用卫生设施服务的数据。然而，许多人道主义人口统计系统站点所在的地区缺乏独特的国家标识符，或存在数据质量问题，如记录不完整、拼写错误以及姓名和居住地变更，所有这些都使追溯应用记录链接方法变得复杂。我们开发了接触点交互记录链接（PIRL）软件，用于前瞻性地将当地卫生设施的健康记录链接到坦桑尼亚农村的HDSS。这种记录链接的前瞻性方法是在其记录被链接的个人在场的情况下进行的，其优点在于，围绕其身份的任何不确定性都可以在简短的交互期间解决，由此无关信息（例如，家庭成员资格）可以被称为在多个潜在匹配之间进行裁定的附加标准。我们的软件使用的概率记录链接算法的基础上的Felllegi-Sunter模型搜索和排名潜在的匹配HDSS数据源。该软件的主要优点是能够对同一个人进行多次搜索，并保存在后续诊所访视期间检索的患者特定记录。在HDSS数据库（n= 110，000）上进行搜索需要不到15秒的时间。不包括获得书面同意的时间，我们与每位患者相处的时间中位数为6分钟。在这种情况下，一个纯粹的自动追溯方法记录链接将只能正确识别大约一半的真实匹配，并导致高链接错误，因此突出显示使用PIRL软件进行交互式记录链接的直接好处。
Linking a health and demographic surveillance system (HDSS) to data from a health facility that serves the HDSS population generates a research infrastructure for directly observed data on access to and utilization of health facility services. Many HDSS sites, however, are in areas that lack unique national identifiers or suffer from data quality issues, such as incomplete records, spelling errors, and name and residence changes, all of which complicate record linkage approaches when applied retrospectively. We developed Point-of-contact Interactive Record Linkage (PIRL) software that is used to prospectively link health records from a local health facility to an HDSS in rural Tanzania. This prospective approach to record linkage is carried out in the presence of the individual whose records are being linked, which has the advantage that any uncertainty surrounding their identity can be resolved during a brief interaction, whereby extraneous information (e.g., household membership) can be referred to as an additional criterion to adjudicate between multiple potential matches. Our software uses a probabilistic record linkage algorithm based on the Fellegi-Sunter model to search and rank potential matches in the HDSS data source. Key advantages of this software are its ability to perform multiple searches for the same individual and save patient-specific notes that are retrieved during subsequent clinic visits. A search on the HDSS database (n=110,000) takes less than 15 seconds to complete. Excluding time spent obtaining written consent, the median duration of time we spend with each patient is six minutes. In this setting, a purely automated retrospective approach to record linkage would have only correctly identified about half of the true matches and resulted in high linkage errors; therefore highlighting immediate benefit of conducting interactive record linkage using the PIRL software.