Linking Data for Mothers and Babies in De-Identified Electronic Health Data
Linking Data for Mothers and Babies in De-Identified Electronic Health Data
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DOI：
10.1371/journal.pone.0164667
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发表时间：
2016-10-20
期刊：
影响因子：
3.7
通讯作者：
van der Meulen, Jan
中科院分区：
文献类型：
--
作者：
Harron, Katie;Gilbert, Ruth;van der Meulen, Jan
将母亲和婴儿的纵向行政数据联系起来，有助于对世界各地若干人口进行研究和服务评价。我们建立了一个链接的母婴队列，使用非线性的，人口水平的数据为England.Design和SettingRetrospective连锁研究使用电子医院记录的母亲和婴儿承认在英国国民保健服务医院，在医院事件统计捕获在2001年4月和2013年3月之间。结果672，955婴儿记录在2012/13，280，470例（42%）与使用医院，GP实践，产妇年龄，出生体重，妊娠，出生顺序和性别的产妇记录确定性相关。另有380，164（56%）个记录使用概率方法进行关联，其中包含可能在母亲/婴儿记录之间存在差异的其他变量（入院日期，种族，3/4字符邮政编码区）或包括缺失值（分娩变量）。使用合成数据估计假匹配率为0.15%。随着时间的推移，数据质量有所改善：2001/2002年，91%的婴儿记录都有链接（估计错误匹配率为0.15%）。链接队列是代表国家的性别，妊娠，出生体重和产妇年龄分布，并捕获约97%的出生在England. ConclusionProbabilityLinkage的孕产妇和婴儿的医疗保健特点提供了一种有效的方式来丰富产妇数据，提高数据质量，并创建纵向队列的研究和服务评价。这种方法可以扩展到具有共同的非递归特性的其他数据集的链接。
ObjectiveLinkage of longitudinal administrative data for mothers and babies supports research and service evaluation in several populations around the world. We established a linked mother-baby cohort using pseudonymised, population-level data for England.Design and SettingRetrospective linkage study using electronic hospital records of mothers and babies admitted to NHS hospitals in England, captured in Hospital Episode Statistics between April 2001 and March 2013.ResultsOf 672,955 baby records in 2012/13, 280,470 (42%) linked deterministically to a maternal record using hospital, GP practice, maternal age, birthweight, gestation, birth order and sex. A further 380,164 (56%) records linked using probabilistic methods incorporating additional variables that could differ between mother/baby records (admission dates, ethnicity, 3/4-character postcode district) or that include missing values (delivery variables). The false-match rate was estimated at 0.15% using synthetic data. Data quality improved over time: for 2001/02, 91% of baby records were linked (holding the estimated false-match rate at 0.15%). The linked cohort was representative of national distributions of gender, gestation, birth weight and maternal age, and captured approximately 97% of births in England.ConclusionProbabilistic linkage of maternal and baby healthcare characteristics offers an efficient way to enrich maternity data, improve data quality, and create longitudinal cohorts for research and service evaluation. This approach could be extended to linkage of other datasets that have non-disclosive characteristics in common.