Linking administrative records into MCS Millennium Cohort Study - PowerPoint PPT Presentation

Linking administrative records into MCS

Millennium Cohort Study MCS6 MCS 1 MCS2 MCS 3 MCS4 MCS5 | Launching 2001/2 2003/4 2005/6 2008/9 2012/13 2015 9 months AGE 3 AGE 5 AGE 7 AGE11 | Mother Mother Mother Mother Mother | Father Father Father Father Father | Child Child Child Child Older Older Siblings Siblings Teachers Teachers Education Education records records Birth Medical Medical Medical Economic records records records records records  18,552 15,590 15,246 13,857 13287 ?

During data collections Requested consent from participants to link with their administrative: • Health • Economic • Education records

Education • In 2008 (MCS4) • 14042 participants : 13169 parents consented • Until age 16

Education: The data Wales Scotland N. Ireland England 1898 1536 1288 No of consents 8448 1890 1536 n/a No of cases sent for 8445 linkage 1890 (1735) 1407 n/a No. of cases 7476 successfully linked 88.5% 100% (92%) 92% n/a % of cases successfully linked

England: The national pupil database (NPD) • Test and exam results, prior attainment and progression at different key stages for pupils in the state sector • Attainment data for students in non-maintained special schools, sixth-form and further education colleges • Information on pupils in independent schools, where available The database also includes information about pupils’ characteristics, such as: • Gender • Ethnicity • KS1 and KS2 data are • First language deposited • Eligibility for free school meals • School census data to • Special educational needs (SEN) become available • Pupil absence and exclusions longitudinally

Pupils is Scotland Census The database includes information about pupils’ characteristics, such as: • Gender • Ethnicity • First language • Eligibility for free school meals • Special educational needs status

Welsh Pupil Level Annual Schools Census and Pupil Attainment dataset. • Test and exam results, prior attainment and progression at different key stages for pupils in the state sector • Attainment data for students in non-maintained special schools, sixth-form and further education colleges • Information on pupils in independent schools, where available The database also includes information about pupils’ characteristics, such as: • Gender • Ethnicity • First language • Eligibility for free school meals • Special educational needs status

Health • MCS 2008 • 14042 participants 13047 parents consented • Until age 14

Wellcome Trust funded project Using health record linkage in the UK MCS to investigate childhood obesity, asthma and infections. • enhance the cohort data by linking longitudinal survey data with routine hospital admission records. • examine the quality, completeness and, consistency of key child health data by comparing information from these sources with parent/carer report.

Health England: HSCIC Hospital Episode Statistics (linked to ONS mortality data). • Inpatient data • Outpatient data • A&E • Augmented care • Maternity records In negotiations • On a study by study basis • Piloting with MCS

Health Scotland: NHS National Services Scotland APPROVED IN PRICIPLE! • Inpatient and day cases • Outpatients • Maternity • Mental Health • Cancer Registration • Neonatal • Child Health Surveillance Programme (pre- school/school) and Scottish Immunisation & Recall System • Prescribing Information

Health Wales: APPROVED for MCS. Data available soon. • Patient Episode Database for Wales (PEDW) • Inpatient data • Outpatient data • National Community Child Health Database • Birth • Health examinations • Immunisations

Economic • 2008 MCS • 11063 parents consented • 9906 NI numbers given

HMRC • HMRC • Employment • Pensions • Earnings • Tax Credits

Future plans • Criminal justice • MCS (2018) • Ministry of Justice: Police National Computer

The good • More complete picture of participants life history. • External validation • Self-reporting • No recollection bias

The ugly • Data errors. • Linkage errors. • Missing records. • Consent rates. • Administrative data are not collected for research purposes. • Differences in data entry requirements. • Differences in data quality.