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Identifying cerebral palsy from routinely-collected data in England and Wales

机译:从英格兰和威尔士的常规数据中识别脑瘫

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摘要

>Purpose: An observational study using routinely-collected health care data to describe the extent to which children and young people (CYP) with cerebral palsy (CP) can be identified and the prevalence of CP can be estimated.>Patients and methods: Routinely-collected anonymized data, for CYP (aged 0–25 years old between 1 January 2004 and 31 December 2014) were analyzed in two linked datasets, from England and Wales respectively. Datasets included National Health Service; General Practitioner (GP), inpatients, outpatients, and national mortality records. CP was identified using ICD-10 codes G80.0–G83.3 and equivalent Read v2 codes. Ascertainment rates of CP were identified for each data source and compared between countries. Frequency and consistency of coding were investigated, and prevalence of CP estimated.>Results: A total of 7,113 and 5,218 CYP with CP were identified in the English and Welsh datasets respectively. Whilst the majority of CYP with CP would be expected to attend their GP, 65.3% (4,646/7,113) of English and 65.1% (3,396/5,218) of Welsh cases were ascertained from GP datasets. Further cases were identified solely in inpatient datasets (2,410 in England, 1,813 in Wales). Few cases were coded for CP within outpatient datasets. Four character codes that specified CP type were rarely used; one in five health care records were coded both with G80 codes (explicitly CP) and with G81–83 codes (other paralytic syndromes) or equivalent Read codes. Estimated period prevalence of CYP with CP was 2.5–3.4 per 1,000 in England and 2.4–3.2 per 1,000 in Wales.>Conclusion: In England and Wales, coding of CP in routine data is infrequent, inconsistent, non-specific, and difficult to isolate from conditions with similar physical signs. Yet the prevalence estimates of CP were similar to those reported elsewhere. To optimize case recognition we recommend improved coding quality and the use of both primary and secondary care datasets as a minimum.
机译:>目的:一项观察性研究,使用常规收集的医疗保健数据描述了可以识别出患有脑瘫(CP)的儿童和青少年(CYP)的程度,并可以估计CP的患病率。 >患者和方法:分别从英格兰和威尔士的两个链接数据集中分析了CYP(2004年1月1日至2014年12月31日之间0-25岁的年龄)的常规匿名数据。数据集包括国家卫生局;全科医生(GP),住院病人,门诊病人和国家死亡率记录。使用ICD-10代码G80.0–G83.3和等效的Read v2代码识别CP。确定每个数据源的CP确认率,并在国家之间进行比较。研究了编码的频率和一致性,并估计了CP的患病率。>结果:在英语和威尔士语数据集中分别识别出有CP的CYP分别为7,113和5,218。虽然预计大多数有CP的CYP会参加其GP,但从GP数据集中确定了英语的65.3%(4,646 / 7,113)和威尔士的65.1%(3,396 / 5,218)。仅在住院患者数据集中发现了进一步的病例(英格兰为2,410,威尔士为1,813)。门诊数据集中很少有病例被编码为CP。很少使用指定CP类型的四个字符代码。五分之一的卫生保健记录都用G80码(显式CP)和G81-83码(其他麻痹综合症)或等效的Read码编码。 CYP的CYP患病率在英格兰为2.5–3.4 / 1,000,在威尔士为2.4–3.2 / 1,000。>结论:在英格兰和威尔士,常规数据中CP的编码很少,不一致,不特定的,并且很难从具有相似身体症状的疾病中分离出来。然而,CP的患病率估计值与其他地方报道的相似。为了优化案例识别,我们建议提高编码质量,并至少使用初级和二级医疗数据集。

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