Journal article 953 views 127 downloads
Using consented health record linkage in a longitudinal cohort study
Tingay Karen,
Akbari Ashley,
Bandyopadhyay Amrita,
Bedford Helen,
Brophy Sinead,
Cortina Mario,
Fitzsimons Emla,
Griffiths Lucy,
Healy Melanie,
Johnson Jon,
Setakis Efrosini,
Walton Suzanne,
Dezateux Carol,
Lyons Ronan,
Ashley Akbari ,
Lucy Griffiths
International Journal for Population Data Science, Volume: 1, Issue: 1
Swansea University Authors: Ashley Akbari , Lucy Griffiths
-
PDF | Version of Record
Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND).
Download (243.43KB)
DOI (Published version): 10.23889/ijpds.v1i1.168
Abstract
Using consented health record linkage in a longitudinal cohort study
Published in: | International Journal for Population Data Science |
---|---|
ISSN: | 2399-4908 |
Published: |
2017
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa39439 |
first_indexed |
2018-04-17T12:21:56Z |
---|---|
last_indexed |
2018-05-11T19:29:28Z |
id |
cronfa39439 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2018-05-11T15:44:28.5245745</datestamp><bib-version>v2</bib-version><id>39439</id><entry>2018-04-17</entry><title>Using consented health record linkage in a longitudinal cohort study</title><swanseaauthors><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>e35ea6ea4b429e812ef204b048131d93</sid><ORCID>0000-0001-9230-624X</ORCID><firstname>Lucy</firstname><surname>Griffiths</surname><name>Lucy Griffiths</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-04-17</date><deptcode>MEDS</deptcode><abstract/><type>Journal Article</type><journal>International Journal for Population Data Science</journal><volume>1</volume><journalNumber>1</journalNumber><publisher/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>18</publishedDay><publishedMonth>4</publishedMonth><publishedYear>2017</publishedYear><publishedDate>2017-04-18</publishedDate><doi>10.23889/ijpds.v1i1.168</doi><url/><notes/><college>COLLEGE NANME</college><department>Medical School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-05-11T15:44:28.5245745</lastEdited><Created>2018-04-17T10:49:44.9786708</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>Tingay</firstname><surname>Karen</surname><order>1</order></author><author><firstname>Akbari</firstname><surname>Ashley</surname><order>2</order></author><author><firstname>Bandyopadhyay</firstname><surname>Amrita</surname><order>3</order></author><author><firstname>Bedford</firstname><surname>Helen</surname><order>4</order></author><author><firstname>Brophy</firstname><surname>Sinead</surname><order>5</order></author><author><firstname>Cortina</firstname><surname>Mario</surname><order>6</order></author><author><firstname>Fitzsimons</firstname><surname>Emla</surname><order>7</order></author><author><firstname>Griffiths</firstname><surname>Lucy</surname><order>8</order></author><author><firstname>Healy</firstname><surname>Melanie</surname><order>9</order></author><author><firstname>Johnson</firstname><surname>Jon</surname><order>10</order></author><author><firstname>Setakis</firstname><surname>Efrosini</surname><order>11</order></author><author><firstname>Walton</firstname><surname>Suzanne</surname><order>12</order></author><author><firstname>Dezateux</firstname><surname>Carol</surname><order>13</order></author><author><firstname>Lyons</firstname><surname>Ronan</surname><order>14</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>15</order></author><author><firstname>Lucy</firstname><surname>Griffiths</surname><orcid>0000-0001-9230-624X</orcid><order>16</order></author></authors><documents><document><filename>0039439-11052018154330.pdf</filename><originalFilename>39439.pdf</originalFilename><uploaded>2018-05-11T15:43:30.2730000</uploaded><type>Output</type><contentLength>220806</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-05-11T00:00:00.0000000</embargoDate><documentNotes>Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
spelling |
2018-05-11T15:44:28.5245745 v2 39439 2018-04-17 Using consented health record linkage in a longitudinal cohort study aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false e35ea6ea4b429e812ef204b048131d93 0000-0001-9230-624X Lucy Griffiths Lucy Griffiths true false 2018-04-17 MEDS Journal Article International Journal for Population Data Science 1 1 2399-4908 18 4 2017 2017-04-18 10.23889/ijpds.v1i1.168 COLLEGE NANME Medical School COLLEGE CODE MEDS Swansea University 2018-05-11T15:44:28.5245745 2018-04-17T10:49:44.9786708 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Tingay Karen 1 Akbari Ashley 2 Bandyopadhyay Amrita 3 Bedford Helen 4 Brophy Sinead 5 Cortina Mario 6 Fitzsimons Emla 7 Griffiths Lucy 8 Healy Melanie 9 Johnson Jon 10 Setakis Efrosini 11 Walton Suzanne 12 Dezateux Carol 13 Lyons Ronan 14 Ashley Akbari 0000-0003-0814-0801 15 Lucy Griffiths 0000-0001-9230-624X 16 0039439-11052018154330.pdf 39439.pdf 2018-05-11T15:43:30.2730000 Output 220806 application/pdf Version of Record true 2018-05-11T00:00:00.0000000 Released under the terms of a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC-BY-NC-ND). true eng |
title |
Using consented health record linkage in a longitudinal cohort study |
spellingShingle |
Using consented health record linkage in a longitudinal cohort study Ashley Akbari Lucy Griffiths |
title_short |
Using consented health record linkage in a longitudinal cohort study |
title_full |
Using consented health record linkage in a longitudinal cohort study |
title_fullStr |
Using consented health record linkage in a longitudinal cohort study |
title_full_unstemmed |
Using consented health record linkage in a longitudinal cohort study |
title_sort |
Using consented health record linkage in a longitudinal cohort study |
author_id_str_mv |
aa1b025ec0243f708bb5eb0a93d6fb52 e35ea6ea4b429e812ef204b048131d93 |
author_id_fullname_str_mv |
aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari e35ea6ea4b429e812ef204b048131d93_***_Lucy Griffiths |
author |
Ashley Akbari Lucy Griffiths |
author2 |
Tingay Karen Akbari Ashley Bandyopadhyay Amrita Bedford Helen Brophy Sinead Cortina Mario Fitzsimons Emla Griffiths Lucy Healy Melanie Johnson Jon Setakis Efrosini Walton Suzanne Dezateux Carol Lyons Ronan Ashley Akbari Lucy Griffiths |
format |
Journal article |
container_title |
International Journal for Population Data Science |
container_volume |
1 |
container_issue |
1 |
publishDate |
2017 |
institution |
Swansea University |
issn |
2399-4908 |
doi_str_mv |
10.23889/ijpds.v1i1.168 |
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 |
2017-04-18T04:26:59Z |
_version_ |
1821378209960165376 |
score |
11.04748 |