No Cover Image

Conference Paper/Proceeding/Abstract 1693 views 108 downloads

Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care

Helen Snooks Orcid Logo, Alan Watkins Orcid Logo, Matthew Jones, Ashra Khanom, Jenna Jones, Ronan Lyons, Matthew Jones

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

Swansea University Authors: Helen Snooks Orcid Logo, Alan Watkins Orcid Logo, Matthew Jones, Ashra Khanom, Jenna Jones, Ronan Lyons, Matthew Jones

Check full text

DOI (Published version): 10.23889/ijpds.v4i3.1250

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/cronfa62306
first_indexed 2023-01-30T12:44:01Z
last_indexed 2023-01-31T04:18:48Z
id cronfa62306
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2023-01-30T12:46:30.8457261</datestamp><bib-version>v2</bib-version><id>62306</id><entry>2023-01-11</entry><title>Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care</title><swanseaauthors><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>81fc05c9333d9df41b041157437bcc2f</sid><ORCID>0000-0003-3804-1943</ORCID><firstname>Alan</firstname><surname>Watkins</surname><name>Alan Watkins</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>d063b18627093a02f325955f76eeeb76</sid><firstname>Matthew</firstname><surname>Jones</surname><name>Matthew Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>1f0f14742e3a36e8fd6d29f59374a009</sid><firstname>Ashra</firstname><surname>Khanom</surname><name>Ashra Khanom</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>e662b6c5aba239a9cd0f115d16df0a82</sid><ORCID/><firstname>Jenna</firstname><surname>Jones</surname><name>Jenna Jones</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><author><sid>e3595273bb063f8694ce43326f4bd298</sid><firstname>Matthew</firstname><surname>Jones</surname><name>Matthew Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-01-11</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>19</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-11-19</publishedDate><doi>10.23889/ijpds.v4i3.1250</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>2023-01-30T12:46:30.8457261</lastEdited><Created>2023-01-11T20:33:03.6539150</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>Helen</firstname><surname>Snooks</surname><orcid>0000-0003-0173-8843</orcid><order>1</order></author><author><firstname>Alan</firstname><surname>Watkins</surname><orcid>0000-0003-3804-1943</orcid><order>2</order></author><author><firstname>Matthew</firstname><surname>Jones</surname><order>3</order></author><author><firstname>Ashra</firstname><surname>Khanom</surname><order>4</order></author><author><firstname>Jenna</firstname><surname>Jones</surname><orcid/><order>5</order></author><author><firstname>Ronan</firstname><surname>Lyons</surname><order>6</order></author><author><firstname>Matthew</firstname><surname>Jones</surname><order>7</order></author></authors><documents><document><filename>62306__26430__7e29804502c64ad6990870cae3699a48.pdf</filename><originalFilename>62306.pdf</originalFilename><uploaded>2023-01-30T12:45:06.7684750</uploaded><type>Output</type><contentLength>212467</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>2019 Copyright. 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 2023-01-30T12:46:30.8457261 v2 62306 2023-01-11 Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care ab23c5e0111b88427a155a1f495861d9 0000-0003-0173-8843 Helen Snooks Helen Snooks true false 81fc05c9333d9df41b041157437bcc2f 0000-0003-3804-1943 Alan Watkins Alan Watkins true false d063b18627093a02f325955f76eeeb76 Matthew Jones Matthew Jones true false 1f0f14742e3a36e8fd6d29f59374a009 Ashra Khanom Ashra Khanom true false e662b6c5aba239a9cd0f115d16df0a82 Jenna Jones Jenna Jones true false 83efcf2a9dfcf8b55586999d3d152ac6 Ronan Lyons Ronan Lyons true false e3595273bb063f8694ce43326f4bd298 Matthew Jones Matthew Jones true false 2023-01-11 MEDS Conference Paper/Proceeding/Abstract International Journal of Population Data Science 4 3 Swansea University 2399-4908 19 11 2019 2019-11-19 10.23889/ijpds.v4i3.1250 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2023-01-30T12:46:30.8457261 2023-01-11T20:33:03.6539150 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Health Data Science Helen Snooks 0000-0003-0173-8843 1 Alan Watkins 0000-0003-3804-1943 2 Matthew Jones 3 Ashra Khanom 4 Jenna Jones 5 Ronan Lyons 6 Matthew Jones 7 62306__26430__7e29804502c64ad6990870cae3699a48.pdf 62306.pdf 2023-01-30T12:45:06.7684750 Output 212467 application/pdf Version of Record true 2019 Copyright. The Authors. Open Access under CC BY 4.0 true eng https://creativecommons.org/licenses/by/4.0/deed.en
title Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
spellingShingle Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
Helen Snooks
Alan Watkins
Matthew Jones
Ashra Khanom
Jenna Jones
Ronan Lyons
Matthew Jones
title_short Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
title_full Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
title_fullStr Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
title_full_unstemmed Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
title_sort Pros and cons of using anonymised linked routine data to improve efficiency of randomised controlled trials in healthcare: experience in primary and emergency care
author_id_str_mv ab23c5e0111b88427a155a1f495861d9
81fc05c9333d9df41b041157437bcc2f
d063b18627093a02f325955f76eeeb76
1f0f14742e3a36e8fd6d29f59374a009
e662b6c5aba239a9cd0f115d16df0a82
83efcf2a9dfcf8b55586999d3d152ac6
e3595273bb063f8694ce43326f4bd298
author_id_fullname_str_mv ab23c5e0111b88427a155a1f495861d9_***_Helen Snooks
81fc05c9333d9df41b041157437bcc2f_***_Alan Watkins
d063b18627093a02f325955f76eeeb76_***_Matthew Jones
1f0f14742e3a36e8fd6d29f59374a009_***_Ashra Khanom
e662b6c5aba239a9cd0f115d16df0a82_***_Jenna Jones
83efcf2a9dfcf8b55586999d3d152ac6_***_Ronan Lyons
e3595273bb063f8694ce43326f4bd298_***_Matthew Jones
author Helen Snooks
Alan Watkins
Matthew Jones
Ashra Khanom
Jenna Jones
Ronan Lyons
Matthew Jones
author2 Helen Snooks
Alan Watkins
Matthew Jones
Ashra Khanom
Jenna Jones
Ronan Lyons
Matthew Jones
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.v4i3.1250
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
document_store_str 1
active_str 0
published_date 2019-11-19T05:05:30Z
_version_ 1851640020271628288
score 11.089988

Similar Items