Phenotyping Neurodisability in Hospital Records in England: A National Birth Cohort Using Linked Administrative Data.

IF 2.5 3区 医学 Q2 OBSTETRICS & GYNECOLOGY
Ania Zylbersztejn, Philippa Rees, Rashmi D'Souza, Stuart Logan, Ayana Cant, Laura Gimeno, Vincent Nguyen, Jugnoo Rahi, Ruth Gilbert, Katie Harron
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引用次数: 0

Abstract

Background: Children with neurodisability often have complex healthcare and educational needs. Evidence from linked administrative health and education data could improve joint working between services.

Objective: To develop a diagnostic code list to identify neurodisability in hospital admission records; to assess the representativeness of this phenotype by characterising children with hospital-recorded neurodisability and their outcomes.

Methods: We developed a national cohort of singletons born in England between 2003 and 2009, including a nested cohort of children enrolled in primary school, using linked health and education data from the Education and Child Health Insights from Linked Data (ECHILD) database. With expert clinicians, we developed an algorithm based on diagnostic information from hospital records to phenotype children with hospital-recorded neurodisability. We described rates of mortality, planned/unplanned admissions up to 11 years old, and school-recorded special educational needs (SEN) provision, as proxy measures of the complexity of a child's needs, overall and for over 40 neurodisability subgroups.

Results: Of 3,580,225 children in the birth cohort, 3.6% had hospital-recorded neurodisability by age 11. The most frequent subgroups included developmental disorders, autism, epilepsy, perinatal brain injury, and cerebral palsy. Children with hospital-recorded neurodisability had higher mortality and planned/unplanned admission rates compared with their peers, and they accounted for 26% of all planned and 14% of all unplanned hospital admissions before age 11. The nested primary school cohort included 2,956,299 pupils (82.6% of all births), 3.7% of whom had hospital-recorded neurodisability. 75% of children with hospital-recorded neurodisability had any school-recorded SEN provision, and 39% had a record of more intensive provision (compared to 30% and 2.4%, respectively, for their peers).

Conclusions: We derived a phenotype for hospital-recorded neurodisability, which affects 1 in 28 primary school children in England, with high rates of hospital admissions and SEN provision. This phenotype and its subgroups can be used by service providers and researchers to examine inequalities and inform resource and service provision.

英国医院记录中的神经残疾表型分析:使用相关行政数据的国家出生队列。
背景:神经残疾儿童通常有复杂的保健和教育需求。来自相关的卫生和教育行政数据的证据可以改善服务部门之间的联合工作。目的:编制住院记录中识别神经功能障碍的诊断代码表;通过描述医院记录的神经功能障碍儿童及其结果来评估这种表型的代表性。方法:我们使用关联数据教育和儿童健康洞察(ECHILD)数据库中的关联健康和教育数据,对2003年至2009年在英国出生的单胎儿童进行了全国性队列研究,其中包括一组小学入学儿童。在专家临床医生的帮助下,我们开发了一种基于医院记录的诊断信息的算法,以对医院记录的神经残疾儿童进行表型分析。我们描述了死亡率,计划/计划外入学到11岁,以及学校记录的特殊教育需求(SEN)规定,作为儿童需求复杂性的代理措施,总体上和超过40个神经残疾亚组。结果:在出生队列中的3,580,225名儿童中,3.6%在11岁时患有医院记录的神经功能障碍。最常见的亚组包括发育障碍、自闭症、癫痫、围产期脑损伤和脑瘫。与同龄人相比,医院记录的神经残疾儿童的死亡率和计划/计划外住院率更高,他们占11岁前所有计划住院率的26%和所有计划外住院率的14%。嵌套的小学队列包括2,956,299名学生(占所有新生儿的82.6%),其中3.7%患有医院记录的神经障碍。75%的医院记录的神经残疾儿童有任何学校记录的SEN提供,39%有更密集的提供记录(相比之下,他们的同龄人分别为30%和2.4%)。结论:我们得出了医院记录的神经功能障碍的表型,在英格兰,每28名小学生中就有1名神经功能障碍,住院率和SEN提供率很高。服务提供者和研究人员可以使用这种表型及其子组来检查不平等现象,并为资源和服务提供提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.40
自引率
7.10%
发文量
84
审稿时长
1 months
期刊介绍: Paediatric and Perinatal Epidemiology crosses the boundaries between the epidemiologist and the paediatrician, obstetrician or specialist in child health, ensuring that important paediatric and perinatal studies reach those clinicians for whom the results are especially relevant. In addition to original research articles, the Journal also includes commentaries, book reviews and annotations.
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