Loane Maria, Morris Joan K, Garne Ester
Institute of Nursing and Health Research, Ulster University, Belfast, UK.
School of Health & Medical Sciences, City St George's University of London, London, UK.
Paediatr Perinat Epidemiol. 2025 Mar;39(3):277-284. doi: 10.1111/ppe.13173. Epub 2025 Jan 28.
Although accessing administrative data in healthcare databases may be a more time-efficient and cost-effective method of conducting surveillance, there is evidence suggesting that administrative data alone are not sufficient for population-based surveillance of congenital anomalies.
To propose recommendations to maximise the potential use of healthcare databases for surveillance of congenital anomalies based on our data linkage experiences and results from the EUROlinkCAT study.
EUROlinkCAT is a population-based cohort study of 99,416 children with anomalies born between 1995 and 2014. The congenital anomaly case records of children in 11 European congenital anomaly (EUROCAT) registries (eight countries) were linked to standardised administrative healthcare data (birth records, death records and hospital discharge records) to evaluate mortality and morbidity outcomes in these children. Overall, 97% of children with anomalies were successfully matched to their records in their national or regional administrative databases. Recommendations to improve surveillance of anomalies when using healthcare data were developed through establishing and analysing data from this cohort.
The primary recommendation is to develop systems to report anomalies diagnosed in foetuses who undergo a termination and link these data to their mothers. Each liveborn baby must be assigned a permanent unique identification number at birth to enable accurate linkage across healthcare databases. Implementing and improving existing algorithms to discriminate between major anomalies and suspected or minor anomalies will improve accuracy in coding. Heterogeneity in coding anomalies will improve by avoiding the use of 'unspecified' or 'other specified' codes in hospital databases. Relaxation of country-specific regulations concerning the suppression of small numbers are necessary to enable data to be combined across European countries.
Implementation of these recommendations will enable the information in electronic healthcare databases, in conjunction with Congenital Anomaly registries, to be fully exploited and hence will improve the surveillance of anomalies in children.
尽管在医疗保健数据库中获取行政数据可能是开展监测工作更节省时间和成本效益更高的方法,但有证据表明,仅靠行政数据不足以对先天性异常进行基于人群的监测。
根据我们的数据链接经验以及EUROlinkCAT研究的结果,提出相关建议,以最大限度地利用医疗保健数据库进行先天性异常监测。
EUROlinkCAT是一项基于人群的队列研究,研究对象为1995年至2014年间出生的99416名患有先天性异常的儿童。将11个欧洲先天性异常(EUROCAT)登记处(八个国家)的儿童先天性异常病例记录与标准化行政医疗数据(出生记录、死亡记录和医院出院记录)相链接,以评估这些儿童的死亡率和发病率结局。总体而言,97%的先天性异常儿童成功与其国家或地区行政数据库中的记录相匹配。通过建立和分析该队列的数据,制定了在使用医疗数据时改善先天性异常监测的建议。
主要建议是建立系统,报告在接受终止妊娠的胎儿中诊断出的先天性异常,并将这些数据与其母亲的数据相链接。每个活产婴儿在出生时必须被分配一个永久唯一识别号码,以便在医疗保健数据库之间进行准确链接。实施和改进现有的算法以区分主要先天性异常和疑似或轻微先天性异常,将提高编码的准确性。通过避免在医院数据库中使用“未指定”或“其他指定”代码,先天性异常编码的异质性将得到改善。放宽有关抑制少量数据的国家特定法规,对于在欧洲国家之间合并数据是必要的。
实施这些建议将使电子医疗保健数据库中的信息与先天性异常登记处相结合,得到充分利用,从而改善对儿童先天性异常的监测。