No Cover Image

Conference Paper/Proceeding/Abstract 1358 views 182 downloads

Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study

Rowena Bailey, Tamas Szakmany, Richard Pugh, Ashley Akbari Orcid Logo, Ronan Lyons

International Journal of Population Data Science, Volume: 4, Issue: 3

Swansea University Authors: Rowena Bailey, Ashley Akbari Orcid Logo, Ronan Lyons

  • 53655.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).

    Download (224.42KB)

Check full text

DOI (Published version): 10.23889/ijpds.v4i3.1305

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa53655
first_indexed 2020-03-27T13:34:59Z
last_indexed 2020-11-03T04:06:26Z
id cronfa53655
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-11-02T11:16:43.4616815</datestamp><bib-version>v2</bib-version><id>53655</id><entry>2019-11-22</entry><title>Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study</title><swanseaauthors><author><sid>455e2c1e6193448f6269b9e72acaf865</sid><firstname>Rowena</firstname><surname>Bailey</surname><name>Rowena Bailey</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>83efcf2a9dfcf8b55586999d3d152ac6</sid><firstname>Ronan</firstname><surname>Lyons</surname><name>Ronan Lyons</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-11-22</date><deptcode>MEDS</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>4</volume><journalNumber>3</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>22</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-11-22</publishedDate><doi>10.23889/ijpds.v4i3.1305</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-11-02T11:16:43.4616815</lastEdited><Created>2019-11-22T00:00:00.0000000</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Rowena</firstname><surname>Bailey</surname><order>1</order></author><author><firstname>Tamas</firstname><surname>Szakmany</surname><order>2</order></author><author><firstname>Richard</firstname><surname>Pugh</surname><order>3</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>4</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><order>5</order></author></authors><documents><document><filename>53655__16950__c626e25612384185acfa053b7e61d1ee.pdf</filename><originalFilename>53655.pdf</originalFilename><uploaded>2020-03-27T10:29:29.3190835</uploaded><type>Output</type><contentLength>229806</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2020-11-02T11:16:43.4616815 v2 53655 2019-11-22 Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study 455e2c1e6193448f6269b9e72acaf865 Rowena Bailey Rowena Bailey true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 83efcf2a9dfcf8b55586999d3d152ac6 Ronan Lyons Ronan Lyons true false 2019-11-22 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 4 3 Swansea University 2399-4908 22 11 2019 2019-11-22 10.23889/ijpds.v4i3.1305 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2020-11-02T11:16:43.4616815 2019-11-22T00:00:00.0000000 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Rowena Bailey 1 Tamas Szakmany 2 Richard Pugh 3 Ashley Akbari 0000-0003-0814-0801 4 Ronan Lyons 5 53655__16950__c626e25612384185acfa053b7e61d1ee.pdf 53655.pdf 2020-03-27T10:29:29.3190835 Output 229806 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution 4.0 International License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0/
title Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
spellingShingle Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
Rowena Bailey
Ashley Akbari
Ronan Lyons
title_short Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
title_full Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
title_fullStr Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
title_full_unstemmed Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
title_sort Healthcare resource utilisation for critical care survivors in Wales: a population-based data linkage study
author_id_str_mv 455e2c1e6193448f6269b9e72acaf865
aa1b025ec0243f708bb5eb0a93d6fb52
83efcf2a9dfcf8b55586999d3d152ac6
author_id_fullname_str_mv 455e2c1e6193448f6269b9e72acaf865_***_Rowena Bailey
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
author Rowena Bailey
Ashley Akbari
Ronan Lyons
author2 Rowena Bailey
Tamas Szakmany
Richard Pugh
Ashley Akbari
Ronan Lyons
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 4
container_issue 3
publishDate 2019
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v4i3.1305
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 - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
document_store_str 1
active_str 0
published_date 2019-11-22T16:14:25Z
_version_ 1850685538399420416
score 11.08899

Similar Items