用英国的行政记录评估特殊教育需求的变化及其对健康和教育的影响:混合方法研究计划的协议
Ania Zylbersztejn1, Kate Lewis1, Vincent Nguyen1
1UCL Great Ormond Street Institute of Child Health, UCL, London, UK.
BMJ open
|November 2, 2023
概括
英格兰的特殊教育需求 (SEN) 提供有所不同,影响了儿童的健康和教育. 希望计划使用链接数据来分析这种变化及其结果,为政策和实践提供信息.
科学领域:
- 公共卫生 公共卫生
- 教育研究教育研究.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在英格兰,三分之一的儿童在学校生涯中接受特殊教育需求 (SEN) 提供.
- 学校和人口群体之间的SEN提供存在显著差异,原因和影响不明.
- 关于SEN提供改善健康和教育成果的有效性的证据有限.
研究的目的:
- 调查SEN提供的变化及其对英格兰儿童健康和教育成果的影响.
- 确定影响不同健康现象类型SEN提供的个人,学校和地区层面的因素.
- 评估SEN提供对结果的因果关系影响,并了解利益相关者的经验.
主要方法:
- 利用来自链接数据 (ECHILD) 数据库的教育和儿童健康洞察力,将学校和医院的数据连接起来.
- 定义能够预测SEN需求的健康现象,并分析相关的健康和教育成果.
- 采用因果推理方法和定性数据 (调查,采访) 来分析提供影响和经验.
主要成果:
- 研究协议概述了对SEN提供变化的分析,其对结果的影响以及影响因素.
- 不同的健康现象类型预计将在SEN提供和结果中显示不同的模式.
- 量化和定性数据的三角分析将提供全面的理解.
结论:
- 调查结果将为有关SEN识别,评估和提供的政策和实践提供信息.
- 了解变化和影响对于公平支持SEN儿童至关重要.
- 这项研究旨在改善未来对SEN提供效率的评估.
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