An approach to linking education, social care and electronic health records for children and young people in South London: A linkage study of child and adolescent mental health service data
dc.contributor.author | Downs, JM | |
dc.contributor.author | Ford, T | |
dc.contributor.author | Stewart, R | |
dc.contributor.author | Epstein, S | |
dc.contributor.author | Shetty, H | |
dc.contributor.author | Little, R | |
dc.contributor.author | Jewell, A | |
dc.contributor.author | Broadbent, M | |
dc.contributor.author | Deighton, J | |
dc.contributor.author | Mostafa, T | |
dc.contributor.author | Gilbert, R | |
dc.contributor.author | Hotopf, M | |
dc.contributor.author | Hayes, R | |
dc.date.accessioned | 2019-03-01T15:24:42Z | |
dc.date.issued | 2019-01-29 | |
dc.description.abstract | Objectives Creation of linked mental health, social and education records for research to support evidence-based practice for regional mental health services. Setting The Clinical Record Interactive Search (CRIS) system was used to extract personal identifiers who accessed psychiatric services between September 2007 and August 2013. Participants A clinical cohort of 35 509 children and young people (aged 4-17 years). Design Multiple government and ethical committees approved the link of clinical mental health service data to Department for Education (DfE) data on education and social care services. Under robust governance protocols, fuzzy and deterministic approaches were used by the DfE to match personal identifiers (names, date of birth and postcode) from National Pupil Database (NPD) and CRIS data sources. Outcome measures Risk factors for non-matching to NPD were identified, and the potential impact of non-match biases on International Statistical Classification of Diseases, 10th Revision (ICD-10) classifications of mental disorder, and persistent school absence (<80% attendance) were examined. Probability weighting and adjustment methods were explored as methods to mitigate the impact of non-match biases. Results Governance challenges included developing a research protocol for data linkage, which met the legislative requirements for both National Health Service and DfE. From CRIS, 29 278 (82.5%) were matched to NPD school attendance records. Presenting to services in late adolescence (adjusted OR (aOR) 0.67, 95% CI 0.59 to 0.75) or outside of school census timeframes (aOR 0.15, 95% CI 0.14 to 0.17) reduced likelihood of matching. After adjustments for linkage error, ICD-10 mental disorder remained significantly associated with persistent school absence (aOR 1.13, 95% CI 1.07 to 1.22). Conclusions The work described sets a precedent for education data being used for medical benefit in England. Linkage between health and education records offers a powerful tool for evaluating the impact of mental health on school function, but biases due to linkage error may produce misleading results. Collaborative research with data providers is needed to develop linkage methods that minimise potential biases in analyses of linked data. | en_GB |
dc.description.sponsorship | Medical Research Council (MRC) | en_GB |
dc.description.sponsorship | Psychiatry Research Trust Peggy Pollak Research Fellowship in Developmental Psychiatry | en_GB |
dc.description.sponsorship | National Institute for Health Research (NIHR) | en_GB |
dc.identifier.citation | Vol. 9, article e024355 | en_GB |
dc.identifier.doi | 10.1136/bmjopen-2018-024355 | |
dc.identifier.grantnumber | MR/L017105/1 | en_GB |
dc.identifier.grantnumber | MR/J01219X/1 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/36175 | |
dc.language.iso | en | en_GB |
dc.publisher | BMJ Publishing Group | en_GB |
dc.rights | © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. | en_GB |
dc.title | An approach to linking education, social care and electronic health records for children and young people in South London: A linkage study of child and adolescent mental health service data | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-03-01T15:24:42Z | |
dc.description | This is the final version. Available on open access from BMJ Publishing Group via the DOI in this record | en_GB |
dc.identifier.eissn | 2044-6055 | |
dc.identifier.journal | BMJ Open | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2018-11-27 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2018-11-27 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-03-01T15:21:03Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-03-01T15:24:46Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.