No Cover Image

Journal article 432 views 47 downloads

Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage

Anne Seagrove, Jenna Bulger, Helen Snooks Orcid Logo, Nigel Rees Orcid Logo, Martin Heaven

International Journal of Population Data Science, Volume: 1, Issue: 1

Swansea University Authors: Anne Seagrove, Helen Snooks Orcid Logo, Nigel Rees Orcid Logo, Martin Heaven

  • 63471.pdf

    PDF | Version of Record

    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

    Download (223.43KB)
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/cronfa63471
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-05-19T09:45:27Z
last_indexed 2023-05-19T09:45:27Z
id cronfa63471
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>63471</id><entry>2023-05-16</entry><title>Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage</title><swanseaauthors><author><sid>33ab56cb67d7b1ef58f0280af1744e0d</sid><ORCID/><firstname>Anne</firstname><surname>Seagrove</surname><name>Anne Seagrove</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>ab23c5e0111b88427a155a1f495861d9</sid><ORCID>0000-0003-0173-8843</ORCID><firstname>Helen</firstname><surname>Snooks</surname><name>Helen Snooks</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>8c440a0df599a0b6eef3927ebd515b72</sid><ORCID>0000-0001-8799-5335</ORCID><firstname>Nigel</firstname><surname>Rees</surname><name>Nigel Rees</name><active>true</active><ethesisStudent>true</ethesisStudent></author><author><sid>8cf2eadb1a9a0b58dfe45644838545d5</sid><firstname>Martin</firstname><surname>Heaven</surname><name>Martin Heaven</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-05-16</date><deptcode>PMSC</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>1</volume><journalNumber>1</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>1</publishedDay><publishedMonth>8</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-08-01</publishedDate><doi>10.23889/ijpds.v1i1.347</doi><url>http://dx.doi.org/10.23889/ijpds.v1i1.347</url><notes/><college>COLLEGE NANME</college><department>Medicine</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>PMSC</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-05-30T14:22:03.4814103</lastEdited><Created>2023-05-16T13:29:57.7928172</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Health Data Science</level></path><authors><author><firstname>Anne</firstname><surname>Seagrove</surname><orcid/><order>1</order></author><author><firstname>Jenna</firstname><surname>Bulger</surname><order>2</order></author><author><firstname>Helen</firstname><surname>Snooks</surname><orcid>0000-0003-0173-8843</orcid><order>3</order></author><author><firstname>Nigel</firstname><surname>Rees</surname><orcid>0000-0001-8799-5335</orcid><order>4</order></author><author><firstname>Martin</firstname><surname>Heaven</surname><order>5</order></author></authors><documents><document><filename>63471__27537__ea5541956c464ecb923d20793058626f.pdf</filename><originalFilename>63471.pdf</originalFilename><uploaded>2023-05-19T10:44:26.3468184</uploaded><type>Output</type><contentLength>228790</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>https://creativecommons.org/licenses/by-nc-nd/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling v2 63471 2023-05-16 Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage 33ab56cb67d7b1ef58f0280af1744e0d Anne Seagrove Anne Seagrove true false ab23c5e0111b88427a155a1f495861d9 0000-0003-0173-8843 Helen Snooks Helen Snooks true false 8c440a0df599a0b6eef3927ebd515b72 0000-0001-8799-5335 Nigel Rees Nigel Rees true true 8cf2eadb1a9a0b58dfe45644838545d5 Martin Heaven Martin Heaven true false 2023-05-16 PMSC Journal Article International Journal of Population Data Science 1 1 Swansea University 2399-4908 1 8 2022 2022-08-01 10.23889/ijpds.v1i1.347 http://dx.doi.org/10.23889/ijpds.v1i1.347 COLLEGE NANME Medicine COLLEGE CODE PMSC Swansea University 2023-05-30T14:22:03.4814103 2023-05-16T13:29:57.7928172 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Anne Seagrove 1 Jenna Bulger 2 Helen Snooks 0000-0003-0173-8843 3 Nigel Rees 0000-0001-8799-5335 4 Martin Heaven 5 63471__27537__ea5541956c464ecb923d20793058626f.pdf 63471.pdf 2023-05-19T10:44:26.3468184 Output 228790 application/pdf Version of Record true This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. true eng https://creativecommons.org/licenses/by-nc-nd/4.0/
title Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
spellingShingle Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
Anne Seagrove
Helen Snooks
Nigel Rees
Martin Heaven
title_short Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
title_full Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
title_fullStr Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
title_full_unstemmed Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
title_sort Transient Ischaemic Attack 999 Emergency Referral (TIER): a cluster randomised feasibility trial facilitated by data linkage
author_id_str_mv 33ab56cb67d7b1ef58f0280af1744e0d
ab23c5e0111b88427a155a1f495861d9
8c440a0df599a0b6eef3927ebd515b72
8cf2eadb1a9a0b58dfe45644838545d5
author_id_fullname_str_mv 33ab56cb67d7b1ef58f0280af1744e0d_***_Anne Seagrove
ab23c5e0111b88427a155a1f495861d9_***_Helen Snooks
8c440a0df599a0b6eef3927ebd515b72_***_Nigel Rees
8cf2eadb1a9a0b58dfe45644838545d5_***_Martin Heaven
author Anne Seagrove
Helen Snooks
Nigel Rees
Martin Heaven
author2 Anne Seagrove
Jenna Bulger
Helen Snooks
Nigel Rees
Martin Heaven
format Journal article
container_title International Journal of Population Data Science
container_volume 1
container_issue 1
publishDate 2022
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v1i1.347
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 Swansea University Medical School - Health Data Science{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Health Data Science
url http://dx.doi.org/10.23889/ijpds.v1i1.347
document_store_str 1
active_str 0
published_date 2022-08-01T14:22:02Z
_version_ 1767325483261755392
score 11.016235