Suppr超能文献

健康研究中的常规教育结果测量:ORACLE 儿童研究随访随机试验队列的关键阶段 1。

Routine educational outcome measures in health studies: Key Stage 1 in the ORACLE Children Study follow-up of randomised trial cohorts.

机构信息

Health Sciences Department, University of Leicester, UK.

出版信息

Arch Dis Child. 2011 Jan;96(1):25-9. doi: 10.1136/adc.2010.184036. Epub 2010 Oct 7.

Abstract

OBJECTIVES

Statutory educational attainment measures are rarely used as health study outcomes, but Key Stage 1 (KS1) data formed secondary outcomes in the long-term follow-up to age 7 years of the ORACLE II trial of antibiotic use in preterm babies. This paper describes the approach, compares different approaches to analysis of the KS1 data and compares use of summary KS1 (level) data with use of individual question scores.

PARTICIPANTS

3394 children born to women in the ORACLE Children Study and resident in England at age 7.

METHODS

Analysis of educational achievement measured by national end of KS1 data (KS1) using Poisson regression modelling and anchoring of the KS1 data using external standards.

RESULTS

KS1 summary level data were obtained for 3239 (95%) eligible children; raw individual question scores were obtained for 1899 (54%). Use of individual question scores where available did not change the conclusion of no evidence of treatment effects based on summary KS1 outcome data.

CONCLUSIONS

When accessible for medical research purposes, routinely collected educational outcome data may have advantages of low cost and standardised definition. Here, summary scores lead to similar conclusions to raw (individual question) scores and so are attractive and cost-effective alternatives.

摘要

目的

法定教育程度指标很少作为健康研究结果使用,但在早产儿抗生素使用的 ORACLE II 试验 7 岁长期随访中,KS1 数据作为次要结果。本文描述了方法,比较了分析 KS1 数据的不同方法,并比较了使用 KS1 (水平)综合数据与使用个别问题评分的效果。

参与者

3394 名在 ORACLE 儿童研究中出生的妇女所生的儿童,在 7 岁时居住在英格兰。

方法

使用泊松回归模型分析由国家结束 KS1 数据(KS1)衡量的教育成就,并使用外部标准对 KS1 数据进行锚定。

结果

3239 名符合条件的儿童(95%)获得了 KS1 综合水平数据;1899 名儿童(54%)获得了原始的个别问题分数。基于 KS1 综合结果数据,在可用时使用个别问题分数并没有改变没有治疗效果证据的结论。

结论

在医学研究目的方面,通常收集的教育结果数据可能具有成本低和标准化定义的优势。在这里,综合分数得出了与原始(个别问题)分数相似的结论,因此是有吸引力和具有成本效益的替代方案。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验