Local authority variation in primary school-recorded special educational needs provision among children with major congenital anomalies: A research protocol

Kate Lewis, Vincent Nguyen, Ania Zylbersztejn, Ruth Gilbert, Bianca De Stavola, Lorraine Dearden
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Abstract

Introduction: Special educational needs (SEN) provision has been called a 'postcode lottery’ in England, but the extent to which this represents underlying inequities has not been sufficiently investigated. This study will focus on children with similar underlying health characteristics to explore sources of systematic variation in SEN provision by local authority (LA) in England. Methods and analysis: We will use linked individual-level state-funded hospital and school records from the Education and Health Insights from Linked Data (ECHILD) database, alongside open-source school-level data. Our cohort will be defined as singleton children with major congenital anomalies born in England between 1 September 2003 and 31 August 2012. We will identify major congenital anomalies from diagnoses in hospital records in the first year of life using European Surveillance of Congenital Anomalies (EUROCAT) guidelines. LA (152 in total) will be defined by child’s residential address reported in education records at entry into year one of school (aged five years old). SEN provision will be defined by a recording of an educational health and care plan or SEN support in any census in Reception, year one or two of primary school (ages four/five to six/seven). To quantify variation in SEN provision we will fit multilevel logistic regression models to the individual records, with a-priori selected individual-, school- and LA-level characteristics. We will report the estimated intraclass correlation coefficient at each stage of the model, signifying the percentage of remaining variation in the odds of recorded SEN provision that is due to differences between LAs. Ethics and dissemination: We have existing research ethics approval for analyses of the ECHILD database described in this protocol. We will disseminate our findings to diverse audiences (academics, relevant government departments, service users and providers) through seminars, peer-reviewed publications, short briefing reports and infographics for non-academics (published on the study website).
地方当局在主要先天性畸形儿童中提供小学记录的特殊教育需求方面的差异:一项研究方案
简介:特殊教育需求(SEN)条款在英国被称为“邮政编码彩票”,但这在多大程度上代表了潜在的不平等尚未得到充分的调查。本研究将重点关注具有相似潜在健康特征的儿童,以探索英格兰地方当局(LA)提供特殊教育的系统性差异的来源。方法和分析:我们将使用关联数据教育与健康洞察(ECHILD)数据库中的关联个人级别的国家资助医院和学校记录,以及开源的学校级别数据。我们的队列将被定义为2003年9月1日至2012年8月31日期间在英格兰出生的患有重大先天性异常的单胎儿童。我们将根据欧洲先天性异常监测(EUROCAT)指南,从医院第一年的诊断记录中识别出主要的先天性异常。LA(总共152个)将根据儿童在入学第一年(5岁)时在教育记录中报告的居住地址来定义。特殊教育环境的提供将通过在小学一年级或二年级(4 / 5岁至6 / 7岁)接待处的任何普查中记录教育卫生和护理计划或特殊教育环境支持来确定。为了量化特殊教育条件的变化,我们将根据先验选择的个人、学校和洛杉矶水平特征,对个人记录进行多层逻辑回归模型拟合。我们将在模型的每个阶段报告估计的类内相关系数,表示由于LAs之间的差异而记录的SEN提供的几率中剩余变化的百分比。伦理和传播:我们对本协议中描述的ECHILD数据库的分析有现有的研究伦理批准。我们会透过研讨会、经同行评审的刊物、简短的简报及供非学术界人士使用的资讯图表(刊登于研究网站),向不同的受众(学术界人士、相关政府部门、服务使用者及供应商)传播研究结果。
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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