Discover peer-reviewed journal articles and reports that use ADR UK-funded flagship datasets. This collection is being expanded over time.
Increasing access to children’s social care data presents enormous potential for research and policy evaluation, with opportunities increased where data can be anonymously linked to other sources of information, such as health and education data. The purpose of this scoping review was to provide an overview of all UK data linkage studies that have used routinely collected individual-level children’s social care administrative data. Six research databases were searched and twenty-five studies were identified as meeting the inclusion criteria, with the majority (n = 18) based on English data. Complexities and the time-consuming nature of these studies are highlighted, as are issues with missing data and inconsistencies in recording information across local authorities, impacting on the linkage process. Increased access to such data, and improvements to data capture, could improve the utility of these valuable administrative data assets in the social care sector.
Dataset used: Looked After Children Dataset - Wales
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This study examines health service indicators of stress-related presentations (relating to pain, mental illness, psychosomatic symptoms and self-harm) in adolescents of secondary school age, using Hospital Episode Statistics data for England. We examined weekly time series data for three academic years spanning the time before (2018–2019) and during the COVID-19 pandemic (2019–2020 and 2020–2021), including the first lockdown when schools were closed to the majority of pupils. For all secondary school children, weekly stress presentations dropped following school closures. However, patterns of elevated stress during school terms re-established after reopening, with girls aged 11–15 showing an overall increase compared with pre-pandemic rates.
Dataset used: Education and Child Health Insights from Linked Data - England
We use a large and novel administrative dataset to investigate returns to different university ‘degrees’ (subject-institution combinations) in the United Kingdom. Conditioning on a rich set of background characteristics, we find substantial variation in returns across degrees with similar selectivity levels, suggesting students’ degree choices matter a lot for later-life earnings. Returns increase with university selectivity much more at the top of the selectivity distribution than further down, and much more for some subjects than others. Returns are poorly correlated with observable degree characteristics other than selectivity, which could have important implications for student choices and the incentives of universities.
Dataset used: Longitudinal Education Outcomes - England
This aimed to assess the feasibility of using linked education and offending data (from the National Pupil Database, Department for Education and the Police National Computer, Ministry of Justice) to identify matched control groups to evaluate violence prevention interventions.
Dataset used: Ministry of Justice & Department for Education linked dataset - England
In Wales, the Children in Need (CIN) dataset includes information relating to needs of children and social care support. Before the Social Services and Well-being (Wales) Act 2014 came into force in April 2016, this data collection was named the Children in Need census, changing to Children Receiving Care and Support (CRCS) after this date to reflect better the children eligible for inclusion. This paper describes these datasets, their potential for research and their limitations. We describe data that researchers can access via the Secure Anonymised Information Linkage (SAIL) Databank and exploratory linkages made to health records
Dataset used: Children Receiving Care and Support Census - Wales
We aimed to generate evidence about child development measured through school attainment and provision of special educational needs (SEN) across the spectrum of gestational age, including for children born early term and >41 weeks of gestation, with and without chronic health conditions.
