Discover peer-reviewed journal articles and reports that use ADR UK-funded flagship datasets. This collection is being expanded over time.
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
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We aimed to quantify differences in number and timing of first primary cleft lip and palate (CLP) repair procedures during the first year of the COVID-19 pandemic (1 April 2020 to 31 March 2021; 2020/2021) compared with the preceding year (1 April 2019 to 31 March 2020; 2019/2021).
We used all-of-England inpatient data (Hospital Episode Statistics) to identify groups of adolescents with CHCs from age 5 to 15. Cohorts were born in 2000/01 to 2002/03. Data were linked to England’s National Pupil Database for secondary school (age 11 to 16) persistent absence (>1 month missed/year), exclusion, and non-enrolment to examine rates of each outcome by CHC groups.
Monitoring the incidence of chronic health conditions (CHCs) in childhood in England, using administrative data to derive numerators and denominators, is challenged by unmeasured migration. We used open and closed birth cohort designs to estimate the cumulative incidence of CHCs to age 16 years.
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.
Children with neurodisability often have complex healthcare and educational needs. Evidence from linked administrative health and education data could improve joint working between services. We aimed to develop a diagnostic code list to identify neurodisability in hospital admission records; to assess the representativeness of this phenotype by characterising children with hospital-recorded neurodisability and their outcomes.
