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Contribution of Record Linkage to Vital Status Determination in Cancer Patients

机译:记录联系对癌症患者至关重要地位测定的贡献

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To assess the performance of vital status determination by record linkage between a hospital database and the French national mortality database with anonymised data in order to adhere to French legislation. Hospital database of the Institut Gustave Roussy (IGR), the largest cancer centre in France, and the French mortality databases from 1998-2004 were used for this record linkage. A phonetic code adapted to French language was first applied to identifiers. The last name, maiden name, all first names and the date of birth were then each rendered anonymous using irreversible hash coding. Record linkage, using the probabilistic method developed by Jaro, was based on four fields: the last name, first given name, date of birth and code of birth place. Other variables were used for further automatic and manual validation. Linkage results were very satisfactory for the 10,089 patients included: sensitivity was 94.8% and specificity 99.5%. The positive and negative likelihood ratios were respectively 190 and 0.05. The main causes of discordances were erroneous or incomplete information such as unrecorded maiden name in the hospital database. Results were improved by adding manual validation to electronic matching: sensitivity rose to 97.2% and specificity to 99.4%. Record linkage using anonymised data applied to large scale hospital data is possible and has good validity. This method offers new prospects for large prognostic studies based on hospital data provided that the diagnosis date is systematically recorded in the hospital database.
机译:通过记录医院数据库与法国国家死亡率数据库与匿名数据来评估重要地位确定的表现,以遵守法国立法。 Institut Gustave Roussy(IGr)的医院数据库,法国最大的癌症中心和1998 - 2004年的法国死亡率数据库被用于这个唱片联系。适用于法语语言的语音代码首先应用于标识符。然后,姓氏,姓名,所有名字以及出生日期都是使用不可逆转哈希编码匿名的。使用Jaro开发的概率方法的记录链接基于四个字段:姓氏,第一个给定的名称,出生日期和出生代码。其他变量用于进一步的自动和手动验证。连杆效果对于包括10,089名患者(包括10,089名患者)非常令人满意:敏感性为94.8%,特异性为99.5%。正面和负似然比分别为190和0.05。索引的主要原因是错误或不完整的信息,例如医院数据库中未记录的婚前姓名。通过向电子匹配添加手动验证来提高结果:敏感性升至97.2%,特异性升至99.4%。使用应用于大规模医院数据的匿名数据的录制链接是可能的并且具有良好的有效性。此方法为基于医院数据的大型预后研究提供了新的前景,只要在医院数据库中系统地记录诊断日期。

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