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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

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Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa63471
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first_indexed 2023-05-19T09:45:27Z
last_indexed 2023-05-19T09:45:27Z
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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
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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
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published_date 2022-08-01T14:22:02Z
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