Nguyen Vincent G, Lewis Kate Marie, Gilbert Ruth, Dearden Lorraine, De Stavola Bianca
Institute of Child Health, University College London, London, England, WC1N 1EH, UK.
Social Research Institute, University College London, London, England, WC1H 0AL, UK.
NIHR Open Res. 2023 Nov 21;3:59. doi: 10.3310/nihropenres.13471.1. eCollection 2023.
One third of children in English primary schools have additional learning support called special educational needs (SEN) provision, but children born preterm are more likely to have SEN than those born at term. We aim to assess the impact of SEN provision on health and education outcomes in children grouped by gestational age at birth.
We will analyse linked administrative data for England using the Education and Child Health Insights from Linked Data (ECHILD) database. A target trial emulation approach will be used to specify data extraction from ECHILD, comparisons of interest and our analysis plan. Our target population is all children enrolled in year one of state-funded primary school in England who were born in an NHS hospital in England between 2003 and 2008, grouped by gestational age at birth (extremely preterm (24-<28 weeks), very preterm (28-<32 weeks), moderately preterm (32-<34 weeks), late preterm (34-<37 weeks) and full term (37-<42 weeks). The intervention of interest will comprise categories of SEN provision (including none) during year one (age five/six). The outcomes of interest are rates of unplanned hospital utilisation, educational attainment, and absences by the end of primary school education (year six, age 11). We will triangulate results from complementary estimation methods including the naïve estimator, multivariable regression, g-formula, inverse probability weighting, inverse probability weighting with regression adjustment and instrumental variables, along with a variety for a variety of causal contrasts (average treatment effect, overall, and on the treated/not treated).
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).
在英国小学,三分之一的儿童获得了名为特殊教育需求(SEN)提供的额外学习支持,但早产儿童比足月儿更有可能有特殊教育需求。我们旨在评估特殊教育需求提供对按出生时胎龄分组的儿童健康和教育成果的影响。
我们将使用来自关联数据的教育与儿童健康洞察(ECHILD)数据库分析英国的关联行政数据。将采用目标试验模拟方法来指定从ECHILD中提取的数据、感兴趣的比较以及我们的分析计划。我们的目标人群是2003年至2008年期间在英国国民保健服务(NHS)医院出生、在英国公立小学一年级入学的所有儿童,按出生时胎龄分组(极早产(24 - <28周)、极早早产(28 - <32周)、中度早产(32 - <34周)、晚期早产(34 - <37周)和足月儿(37 - <42周))。感兴趣的干预措施将包括一年级(五岁/六岁)期间特殊教育需求提供的类别(包括无)。感兴趣的结果是计划外住院使用率、学业成绩以及小学教育结束时(六年级,十一岁)的缺勤率。我们将对包括朴素估计器、多变量回归、g公式、逆概率加权、回归调整的逆概率加权和工具变量在内的互补估计方法的结果进行三角测量,以及针对各种因果对比(平均治疗效果、总体以及对治疗/未治疗者)。
我们对本方案中描述的ECHILD数据库分析已有现有的研究伦理批准。我们将通过研讨会、同行评审出版物、简短简报报告以及面向非专业人士的信息图表(发布在研究网站上),向不同受众(学者、相关政府部门、服务使用者和提供者)传播我们的研究结果。