The Education and Child Health Insights from Linked Data (ECHILD) database includes linked records for around 20 million children and young people, which will be used to better understand how education affects children’s health and how health affects children’s education.
Component datasets and linkage
To create the ECHILD database, Hospital Episode Statistics data including for example, admitted patient care, A&E emergency care, and birth notifications has been linked to the National Pupil Database. This includes data on pupil and school characteristics, educational outcomes, and social care.
|Timeframe||1 September 1984 - 31 August 2022|
|Population||Children and young people born in the timeframe specified|
|Size||~20 million records|
Introduction to the ECHILD database
Examples of research questions
The ECHILD database will facilitate research to improve policymaking for children’s health, education and wellbeing across a range of health and social science disciplines. For example, the ECHILD database could help to answer questions such as:
- How can we improve health and education for children with chronic physical or mental health conditions in England?
- How can we better understand the health-related drivers of educational outcomes in England?
- How can we improve the quality and equity of health and education provision in England?
This list is illustrative only and intended to demonstrate the research potential of the dataset. The ECHILD research database can be used for the specific research themes. Find out more.
Other supporting resources
|ECHILD data visualisation||A data visual to explore the different types of de-identified records within the ECHILD database.|
|Data Resource Profile||Mc Grath-Lone, L. et al. (2021) Data Resource Profile: The Education and Child Health Insights from Linked Data (ECHILD) Database, International Journal of Epidemiology, Volume 51, Issue 1, February 2022, Pages 17–17f, DOI: https://doi.org/10.1093/ije/dyab149|
|Linking education and hospital data in England: Linkage process and quality|| |
Libuy, N., Harron, K., Gilbert, R., Caulton, R., Cameron, E., Blackburn, R., (2021) Linking education and hospital data in England: linkage process and quality. International Journal of Population Data Science, Volume 6, No 1, 16 September 2021. DOI: https://doi.org/10.23889/ijpds.v6i1.1671
|Data Resource: National Pupil Database|| |
Matthew Alexander Jay, Louise Mc Grath-Lone, Ruth Gilbert. Data Resource: the National Pupil Database (NPD). International Journal of Population Data Science. Published online: Mar 20, 2019. DOI: https://doi.org/10.23889/ijpds.v4i1.1101
|Data Resource: Children Looked After Return||Mc Grath-Lone, L. et al., Data Resource Profile: Children Looked After Return (CLA), International Journal of Epidemiology, Volume 45, Issue 3, June 2016, Pages 716–717f, https://doi.org/10.1093/ije/dyw117|
|Cohort profile: Children in Need Census|| |
Emmott, E.H., Jay, M.A., Woodman, J., Cohort profile: Children in Need Census (CIN) records of children referred for social care support in England. BMJ Open 2019;9:e023771. DOI: 10.1136/bmjopen-2018-023771
Published research using the data
- COVID-19-related school closures and patterns of hospital admissions with stress-related presentations in secondary school-aged adolescents: weekly time series
- Hospital admissions for stress-related presentations among school-aged adolescents during term time versus holidays in England: weekly time series and retrospective cross-sectional analysis
- Gestational age at birth, chronic conditions and school outcomes: a population-based data linkage study of children born in England
- Changes in adolescents’ planned hospital care during the COVID-19 pandemic: analysis of linked administrative data
- What makes administrative data research-ready? A systematic review and thematic analysis of published literature
- Reductions in hospital care among clinically vulnerable children aged 0-4 years during the COVID-19 pandemic.
Accessing the data
The ECHILD dataset will be available soon via the ONS Secure Research Service. Researchers will need to be fully accredited under the Digital Economy Act (2017) to apply for access. This dataset is included here as part of the current funding opportunity - see details below.
ADR UK is inviting applications for funding to conduct policy-relevant research using ADR England flagship datasets, including ECHILD. Research fellows will address priority research questions, generate insights and demonstrate the value of ADR England data. Find out more about this funding opportunity on the UKRI funding finder.
Find out more
Find out more on the ECHILD website. You can contact the programme team at firstname.lastname@example.org.