No Cover Image

Conference Paper/Proceeding/Abstract 956 views 247 downloads

A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.

Anna Rawlings Orcid Logo, Ieuan Scanlon, Svetlana Glinianaia, Judith Rankin, Maria Loane, Joan Morris, Daniel Thayer Orcid Logo, David Tucker, Sue Jordan

International Journal of Population Data Science, Volume: 7, Issue: 3

Swansea University Authors: Anna Rawlings Orcid Logo, Ieuan Scanlon, Daniel Thayer Orcid Logo, Sue Jordan

Check full text

DOI (Published version): 10.23889/ijpds.v7i3.1845

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa61003
first_indexed 2022-09-26T13:09:41Z
last_indexed 2023-01-13T19:21:32Z
id cronfa61003
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-10T16:21:36.4441140</datestamp><bib-version>v2</bib-version><id>61003</id><entry>2022-09-01</entry><title>A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.</title><swanseaauthors><author><sid>f4f5ea10d85950ed97dc305ee31b2b22</sid><ORCID>0000-0003-3929-474X</ORCID><firstname>Anna</firstname><surname>Rawlings</surname><name>Anna Rawlings</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>9fcb224c6bd804a4d41a2a8570a71185</sid><firstname>Ieuan</firstname><surname>Scanlon</surname><name>Ieuan Scanlon</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e1a6d9b30965cc61a76371fc8a1bf232</sid><ORCID>0000-0003-1847-4362</ORCID><firstname>Daniel</firstname><surname>Thayer</surname><name>Daniel Thayer</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>24ce9db29b4bde1af4e83b388aae0ea1</sid><firstname>Sue</firstname><surname>Jordan</surname><name>Sue Jordan</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2022-09-01</date><deptcode>MEDS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>7</volume><journalNumber>3</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>25</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-25</publishedDate><doi>10.23889/ijpds.v7i3.1845</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2022-10-10T16:21:36.4441140</lastEdited><Created>2022-09-01T13:03:10.6303468</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">School of Health and Social Care - Nursing</level></path><authors><author><firstname>Anna</firstname><surname>Rawlings</surname><orcid>0000-0003-3929-474X</orcid><order>1</order></author><author><firstname>Ieuan</firstname><surname>Scanlon</surname><order>2</order></author><author><firstname>Svetlana</firstname><surname>Glinianaia</surname><order>3</order></author><author><firstname>Judith</firstname><surname>Rankin</surname><order>4</order></author><author><firstname>Maria</firstname><surname>Loane</surname><order>5</order></author><author><firstname>Joan</firstname><surname>Morris</surname><order>6</order></author><author><firstname>Daniel</firstname><surname>Thayer</surname><orcid>0000-0003-1847-4362</orcid><order>7</order></author><author><firstname>David</firstname><surname>Tucker</surname><order>8</order></author><author><firstname>Sue</firstname><surname>Jordan</surname><order>9</order></author></authors><documents><document><filename>61003__25226__3652aec6d2b94d22b0d980579f25d9d1.pdf</filename><originalFilename>61003_VoR.pdf</originalFilename><uploaded>2022-09-26T14:09:54.9278727</uploaded><type>Output</type><contentLength>209580</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>2022 &#xA9; The Authors. Open Access under CC BY 4.0</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by/4.0/deed.en</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-10T16:21:36.4441140 v2 61003 2022-09-01 A national data linkage study to determine the association of congenital anomalies with standardised education outcomes. f4f5ea10d85950ed97dc305ee31b2b22 0000-0003-3929-474X Anna Rawlings Anna Rawlings true false 9fcb224c6bd804a4d41a2a8570a71185 Ieuan Scanlon Ieuan Scanlon true false e1a6d9b30965cc61a76371fc8a1bf232 0000-0003-1847-4362 Daniel Thayer Daniel Thayer true false 24ce9db29b4bde1af4e83b388aae0ea1 Sue Jordan Sue Jordan true false 2022-09-01 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 7 3 Swansea University 2399-4908 25 8 2022 2022-08-25 10.23889/ijpds.v7i3.1845 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2022-10-10T16:21:36.4441140 2022-09-01T13:03:10.6303468 Faculty of Medicine, Health and Life Sciences School of Health and Social Care - Nursing Anna Rawlings 0000-0003-3929-474X 1 Ieuan Scanlon 2 Svetlana Glinianaia 3 Judith Rankin 4 Maria Loane 5 Joan Morris 6 Daniel Thayer 0000-0003-1847-4362 7 David Tucker 8 Sue Jordan 9 61003__25226__3652aec6d2b94d22b0d980579f25d9d1.pdf 61003_VoR.pdf 2022-09-26T14:09:54.9278727 Output 209580 application/pdf Version of Record true 2022 © The Authors. Open Access under CC BY 4.0 true eng https://creativecommons.org/licenses/by/4.0/deed.en
title A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
spellingShingle A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
Anna Rawlings
Ieuan Scanlon
Daniel Thayer
Sue Jordan
title_short A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
title_full A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
title_fullStr A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
title_full_unstemmed A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
title_sort A national data linkage study to determine the association of congenital anomalies with standardised education outcomes.
author_id_str_mv f4f5ea10d85950ed97dc305ee31b2b22
9fcb224c6bd804a4d41a2a8570a71185
e1a6d9b30965cc61a76371fc8a1bf232
24ce9db29b4bde1af4e83b388aae0ea1
author_id_fullname_str_mv f4f5ea10d85950ed97dc305ee31b2b22_***_Anna Rawlings
9fcb224c6bd804a4d41a2a8570a71185_***_Ieuan Scanlon
e1a6d9b30965cc61a76371fc8a1bf232_***_Daniel Thayer
24ce9db29b4bde1af4e83b388aae0ea1_***_Sue Jordan
author Anna Rawlings
Ieuan Scanlon
Daniel Thayer
Sue Jordan
author2 Anna Rawlings
Ieuan Scanlon
Svetlana Glinianaia
Judith Rankin
Maria Loane
Joan Morris
Daniel Thayer
David Tucker
Sue Jordan
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 7
container_issue 3
publishDate 2022
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v7i3.1845
publisher Swansea University
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str School of Health and Social Care - Nursing{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}School of Health and Social Care - Nursing
document_store_str 1
active_str 0
published_date 2022-08-25T05:05:22Z
_version_ 1851368220427026432
score 11.089572

Similar Items