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DDI2.5 XML CODEBOOK RECORD FOR STUDY NUMBER 8302 Millennium Cohort Study: NHS Patient Episode Database for Wales, Linked Administrative Datasets: ICD-10 Codes in Continuous Spells, 2001-2012: Secure Access 830210.5255/UKDA-SN-8302-1 SAIL Databank NHS Wales University College London, UCL Institute of Education, Centre for Longitudinal Studies Copyright Centre for Longitudinal Studies, UCL Social Research Institute Wellcome TrustEconomic and Social Research Council UK Data Service 18 December 2017 DISEASESAGEHOSPITALIZATIONCHILDRENHOSPITAL ADMINISTRATION Wounds and injuriesSpecific diseases, disorders and medical conditionsGeneral health and well-beingChildren Abstract copyright UK Data Service and data collection copyright owner.Background: The Millennium Cohort Study (MCS) is a large-scale, multi-purpose longitudinal dataset providing information about babies born at the beginning of the 21st century, their progress through life, and the families who are bringing them up, for the four countries of the United Kingdom. The original objectives of the first MCS survey, as laid down in the proposal to the Economic and Social Research Council (ESRC) in March 2000, were:<ul><li>to chart the initial conditions of social, economic and health advantages and disadvantages facing children born at the start of the 21st century, capturing information that the research community of the future will require</li><li>to provide a basis for comparing patterns of development with the preceding cohorts (the National Child Development Study, held at the UK Data Archive under GN 33004, and the 1970 Birth Cohort Study, held under GN 33229)</li><li>to collect information on previously neglected topics, such as fathers' involvement in children's care and development</li><li>to focus on parents as the most immediate elements of the children's 'background', charting their experience as mothers and fathers of newborn babies in the year 2000, recording how they (and any other children in the family) adapted to the newcomer, and what their aspirations for her/his future may be</li><li>to emphasise intergenerational links including those back to the parents' own childhood</li><li>to investigate the wider social ecology of the family, including social networks, civic engagement and community facilities and services, splicing in geo-coded data when available</li></ul>Additional objectives subsequently included for MCS were:<ul><li>to provide control cases for the national evaluation of Sure Start (a government programme intended to alleviate child poverty and social exclusion)</li><li>to provide samples of adequate size to analyse and compare the smaller countries of the United Kingdom, and include disadvantaged areas of England</li></ul>Further information about the MCS can be found on the <a href="https://cls.ucl.ac.uk/cls-studies/millennium-cohort-study/" target="_blank" style="background-color: rgb(255, 255, 255);">Centre for Longitudinal Studies</a> web pages.The content of MCS studies, including questions, topics and variables can be explored via the <a href="https://discovery.closer.ac.uk/item/uk.cls.mcs/0d8a7220-c61b-4542-967d-a40cb5aca430">CLOSER Discovery</a> website. The first sweep (MCS1) interviewed both mothers and (where resident) fathers (or father-figures) of infants included in the sample when the babies were nine months old, and the second sweep (MCS2) was carried out with the same respondents when the children were three years of age. The third sweep (MCS3) was conducted in 2006, when the children were aged five years old, the fourth sweep (MCS4) in 2008, when they were seven years old, the fifth sweep (MCS5) in 2012-2013, when they were eleven years old, the sixth sweep (MCS6) in 2015, when they were fourteen years old, and the seventh sweep (MCS7) in 2018, when they were seventeen years old.<div> </div> End User Licence versions of MCS studies: The End User Licence (EUL) versions of MCS1, MCS2, MCS3, MCS4, MCS5, MCS6 and MCS7 are held under UK Data Archive SNs 4683, 5350, 5795, 6411, 7464, 8156 and 8682 respectively. The longitudinal family file is held under SN 8172. Sub-sample studies: Some studies based on sub-samples of MCS have also been conducted, including a study of MCS respondent mothers who had received assisted fertility treatment, conducted in 2003 (see EUL SN 5559). Also, birth registration and maternity hospital episodes for the MCS respondents are held as a separate dataset (see EUL SN 5614). <div>Release of Sweeps 1 to 4 to Long Format (Summer 2020)</div><div>To support longitudinal research and make it easier to compare data from different time points, all data from across all sweeps is now in a consistent format. The update affects the data from sweeps 1 to 4 (from 9 months to 7 years), which are updated from the old/wide to a new/long format to match the format of data of sweeps 5 and 6 (age 11 and 14 sweeps). The old/wide formatted datasets contained one row per family with multiple variables for different respondents. The new/long formatted datasets contain one row per respondent (per parent or per cohort member) for each MCS family. Additional updates have been made to all sweeps to harmonise variable labels and enhance anonymisation.  </div> How to access genetic and/or bio-medical sample data from a range of longitudinal surveys: For information on how to access biomedical data from MCS that are not held at the UKDS, see the <a href="https://cls.ucl.ac.uk/data-access-training/genetic-data-and-biological-samples/" target="_blank" style="background-color: rgb(255, 255, 255);">CLS Genetic data and biological samples</a> webpage. Secure Access datasets: Secure Access versions of the MCS have more restrictive access conditions than versions available under the standard End User Licence or Special Licence (see 'Access data' tab above). Secure Access versions of the MCS include: <ul><li>detailed sensitive variables not available under EUL. These have been grouped thematically and are held under SN 8753 (socio-economic, accommodation and occupational data), SN 8754 (self-reported health, behaviour and fertility), SN 8755 (demographics, language and religion) and SN 8756 (exact participation dates). These files replace previously available studies held under SNs 8456 and 8622-8627 </li><li>detailed geographical identifier files which are grouped by sweep held under SN 7758 (MCS1), SN 7759 (MCS2), SN 7760 (MCS3), SN 7761 (MCS4), SN 7762 (MCS5 2001 Census Boundaries), SN 7763 (MCS5 2011 Census Boundaries), SN 8231 (MCS6 2001 Census Boundaries), SN 8232 (MCS6 2011 Census Boundaries), SN 8757 (MCS7), SN 8758 (MCS7 2001 Census Boundaries) and SN 8759 (MCS7 2011 Census Boundaries). These files replace previously available files grouped by geography SN 7049 (Ward level), SN 7050 (Lower Super Output Area level), and SN 7051 (Output Area level)</li><li>linked education administrative datasets for Key Stages 1, 2, 4 and 5 held under SN 8481 (England).  This replaces previously available datasets for Key Stage 1 (SN 6862) and Key Stage 2 (SN 7712) </li><li>linked education administrative datasets for Key Stage 1 held under SN 7414 (Scotland)</li><li>linked education administrative dataset for Key Stages 1, 2, 3 and 4 under SN 9085 (Wales) </li><li>linked NHS Patient Episode Database for Wales (PEDW) for MCS1 – MCS5 held under SN 8302</li><li>linked Scottish Medical Records data held under SNs 8709, 8710, 8711, 8712, 8713 and 8714;</li><li>Banded Distances to English Grammar Schools for MCS5 held under SN 8394</li><li>linked Health Administrative Datasets (Hospital Episode Statistics) for England for years 2000-2019 held under SN 9030</li><li>linked Health Administrative Datasets (SAIL) for Wales held under SN 9310 </li><li>linked Hospital of Birth data held under SN 5724.</li></ul>The linked education administrative datasets held under SNs 8481,7414 and 9085 may be ordered alongside the MCS detailed geographical identifier files only if sufficient justification is provided in the application.<span style="color: rgb(51, 51, 51); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; font-size: 13px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;"> Users are also only allowed access to either 2001 or 2011 of Geographical Identifiers Census Boundaries studies. So for MCS5 either SN 7762 (2001 Census Boundaries) or SN 7763 (2011 Census Boundaries), for the MCS6 users are only allowed either SN 8231 (2001 Census Boundaries) or SN 8232 (2011 Census Boundaries); and the same applies for MCS7 so either SN 8758 (2001 Census Boundaries) or SN 8759 (2011 Census Boundaries). Researchers applying for access to the Secure Access MCS datasets should indicate on their ESRC Accredited Researcher application form the EUL dataset(s) that they also wish to access (selected from the MCS Series <a href="https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000031#!/access-data" target="_blank">Access</a> web page). The Millennium Cohort Study: NHS Patient Episode Database for Wales (PEDW), Linked Administrative Datasets: ICD-10 Codes in Continuous Spells, 2001-2012: Secure Access includes inpatient and day case data collected by NHS Wales, when cohort members were aged between 0-11 years old. This summary dataset contains derived variables for the number of hospitalisations in each age year, and the ICD-10 (10th revision of the International Statistical Classification of Diseases and Related Health Problems) chapter relevant to the diagnosis. Main Topics: The MCS linked PEDW dataset includes variables relating to: <ul><li>age of cohort member at admission date <li>number of hospitalisations in that age/year <li> number of diagnosis from ICD 10 chapter codes</ul> 2001 - 201201 January 200101 January 2012 Wales IndividualsFamilies/householdsNational Welsh MCS cohort members, 2001-2012. Numeric Longitudinal/panel/cohort Multi-stage stratified random sample Compilation or synthesis of existing materialLinked to administrative records The Data Collection is available to UK Data Service registered users subject to the <a href="https://ukdataservice.ac.uk/app/uploads/cd137-enduserlicence.pdf" target="_blank">End User Licence Agreement</a>.Commercial use is not permitted.Use of the data requires approval from the data owner or their nominee. Users must apply for access via a Secure Access application.Approved users must complete specialist training.The Data Collection must be accessed via a secure virtual private network in a safe environment approved by the UK Data Service.Additional conditions of use apply:<o:p></o:p>I agree not to use nor attempt to use the Data Collections to identify the individuals from which the study sample was selected, nor to claim to have done so.<o:p></o:p> I agree not to link between the research identifiers supplied by the UK Data Service [MCSID] and any other identifiers previously issued.<o:p></o:p> See <restrctn> https://www.bibliography.cls.ucl.ac.uk/ https://cls.ucl.ac.uk/cls-studies/millennium-cohort-study/ https://cls.ucl.ac.uk/publications-and-resources/ https://discovery.closer.ac.uk/item/uk.cls.mcs/0d8a7220-c61b-4542-967d-a40cb5aca430 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=6073 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=7942 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=853075 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=853326 https://ukdataservice.ac.uk/case-study/the-effect-of-infertility-and-its-treatment-on-child-health-and-development/ https://ukdataservice.ac.uk/case-study/does-premature-birth-affect-a-childs-long-term-health-or-development/ https://ukdataservice.ac.uk/case-study/what-predicts-our-level-of-well-being/ https://ukdataservice.ac.uk/case-study/parenting-and-contact-before-and-after-separation/ https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8550 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8306 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=8881 https://beta.ukdataservice.ac.uk/datacatalogue/studies/study?id=855087 https://www.ukdataservice.ac.uk/bounce?type=case-study&id=181 Oakley, C. M., Pekrun, R. and Stoet, G. (2024) 'Sex differences of school grades in childhood and adolescence: a longitudinal analysis', Intelligence. doi:10.1016/j.intell.2024.101857. https://doi.org/10.1016/j.intell.2024.101857 https://oai.ukdataservice.ac.uk:8443/oai/provider 8302 2024-11-28T07:31:33Z ddi:codebook:2_5