Enhancement of ECHILD with a mother-child and Unique Property Reference number link

通过母子和独特的财产参考号链接增强 ECHILD

• 批准号: ES/X000427/1
• 负责人: Katie Harron
• 金额: $ 34.64万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FX000427%2F1
• 关键词: Enhancement; ECHILD; mother; child; Unique

ECHILD is a research database that joins together existing health, education and social care information for all children in England. We are using this linked data to better understand how education affects children's health, and how health affects children's education. ECHILD allows us to gain a detailed picture of the challenges that many children face as they grow up. Research using ECHILD will help government and the providers of services to better understand children's needs, to join up services, and to see which children might not receive the services they need. ECHILD currently uses data about children from schools, hospitals and children's social care. However, some key bits of information are missing. For example, including information on maternal characteristics (such as age, education, and health needs) could help inform the best ways to support young adults in becoming parents. Information on household and neighbourhood characteristics (e.g. number of siblings, overcrowding or air pollution) could provide evidence for government on the impact of these factors on health and education within and across household members. We are therefore proposing to further develop ECHILD by adding in maternal and household information. This will allow us to answer more research questions and generate evidence about the best ways to support young families. Individuals cannot be identified in the database and it can only be used for research and planning services. We have talked a lot with young people and parents to find out what they think about ECHILD and the kinds of questions they think future research should address. We will continue to involve the public throughout our new study.

ECHILD是一个研究数据库，将英格兰所有儿童的现有健康，教育和社会护理信息结合在一起。我们正在使用这些关联数据来更好地了解教育如何影响儿童的健康，以及健康如何影响儿童的教育。ECHILD让我们能够详细了解许多儿童在成长过程中面临的挑战。利用儿童发展倡议进行的研究将有助于政府和服务提供者更好地了解儿童的需要，联合各种服务，并了解哪些儿童可能得不到他们所需要的服务。爱婴国际发展倡议目前使用来自学校、医院和儿童社会护理机构的儿童数据。然而，一些关键的信息丢失了。例如，纳入有关母亲特征（如年龄、教育和健康需求）的信息有助于为支持年轻人成为父母的最佳方式提供信息。关于家庭和邻里特征的信息（如兄弟姐妹人数、过度拥挤或空气污染）可为政府提供证据，说明这些因素对家庭内部和家庭成员之间的健康和教育的影响。因此，我们建议通过增加产妇和家庭信息，进一步发展儿童发展倡议。这将使我们能够回答更多的研究问题，并为支持年轻家庭的最佳方式提供证据。数据库中无法识别个人，只能用于研究和规划服务。我们与年轻人和父母进行了大量的交谈，以了解他们对爱婴的看法以及他们认为未来研究应该解决的问题。我们将继续让公众参与我们的新研究。

项目成果

Association of maternal risk factors with infant maltreatment: an administrative data cohort study

• DOI: 10.1136/archdischild-2022-325239
• 发表时间: 2023-09-27
• 期刊: ARCHIVES OF DISEASE IN CHILDHOOD
• 影响因子: 5.2
• 作者: Smith，Jennifer N.;Guttmann，Astrid;Harron，Katie L.
• 通讯作者: Harron，Katie L.

Identifying opportunities for upstream evaluations relevant to child and maternal health: a UK policy-mapping review.

• DOI: 10.1136/archdischild-2022-325219
• 发表时间: 2023-07
• 期刊: ARCHIVES OF DISEASE IN CHILDHOOD
• 影响因子: 5.2
• 作者: Stewart, Emma;Pearce, Anna;Given, Joanne;Gilbert, Ruth;Brophy, Sinead;Cookson, Richard;Hardelid, Pia;Harron, Katie L.;Leyland, Alastair;Wood, Rachael;Dundas, Ruth
• 通讯作者: Dundas, Ruth