No Cover Image

Conference Paper/Proceeding/Abstract 123 views

Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data

Laura Bentley, Jerlyn Peh, Georgia Beckett-Hill, Karen Hodgson, Ashley Akbari Orcid Logo, Claire Newman, Owen Davies, Walid Chehtane, Lisa Trigg, Joanna Dundon, Gareth John, Alisha Davies, Claire Newman

International Journal of Population Data Science, Volume: 8, Issue: 2

Swansea University Authors: Ashley Akbari Orcid Logo, Claire Newman

Full text not available from this repository: check for access using links below.

Published in: International Journal of Population Data Science
ISSN: 2399-4908
Published: Swansea University 2023
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa64579
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2023-10-24T08:54:43Z
last_indexed 2023-10-24T08:54:43Z
id cronfa64579
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>64579</id><entry>2023-09-20</entry><title>Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data</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>a6e0845bcffe24baf1d2cc6233b489f1</sid><firstname>Claire</firstname><surname>Newman</surname><name>Claire Newman</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-09-20</date><deptcode>HDAT</deptcode><abstract/><type>Conference Paper/Proceeding/Abstract</type><journal>International Journal of Population Data Science</journal><volume>8</volume><journalNumber>2</journalNumber><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>14</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2023</publishedYear><publishedDate>2023-09-14</publishedDate><doi>10.23889/ijpds.v8i2.2251</doi><url>http://dx.doi.org/10.23889/ijpds.v8i2.2251</url><notes>Conference abstract.ADR UK Conference 2023, 14-16 November, Birmingham.</notes><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2023-10-24T11:07:27.7182000</lastEdited><Created>2023-09-20T18:28:27.7298131</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>Laura</firstname><surname>Bentley</surname><order>1</order></author><author><firstname>Jerlyn</firstname><surname>Peh</surname><order>2</order></author><author><firstname>Georgia</firstname><surname>Beckett-Hill</surname><order>3</order></author><author><firstname>Karen</firstname><surname>Hodgson</surname><order>4</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>5</order></author><author><firstname>Claire</firstname><surname>Newman</surname><order>6</order></author><author><firstname>Owen</firstname><surname>Davies</surname><order>7</order></author><author><firstname>Walid</firstname><surname>Chehtane</surname><order>8</order></author><author><firstname>Lisa</firstname><surname>Trigg</surname><order>9</order></author><author><firstname>Joanna</firstname><surname>Dundon</surname><order>10</order></author><author><firstname>Gareth</firstname><surname>John</surname><order>11</order></author><author><firstname>Alisha</firstname><surname>Davies</surname><order>12</order></author><author><firstname>Claire</firstname><surname>Newman</surname><order>13</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling v2 64579 2023-09-20 Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false a6e0845bcffe24baf1d2cc6233b489f1 Claire Newman Claire Newman true false 2023-09-20 HDAT Conference Paper/Proceeding/Abstract International Journal of Population Data Science 8 2 Swansea University 2399-4908 14 9 2023 2023-09-14 10.23889/ijpds.v8i2.2251 http://dx.doi.org/10.23889/ijpds.v8i2.2251 Conference abstract.ADR UK Conference 2023, 14-16 November, Birmingham. COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2023-10-24T11:07:27.7182000 2023-09-20T18:28:27.7298131 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Laura Bentley 1 Jerlyn Peh 2 Georgia Beckett-Hill 3 Karen Hodgson 4 Ashley Akbari 0000-0003-0814-0801 5 Claire Newman 6 Owen Davies 7 Walid Chehtane 8 Lisa Trigg 9 Joanna Dundon 10 Gareth John 11 Alisha Davies 12 Claire Newman 13
title Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
spellingShingle Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
Ashley Akbari
Claire Newman
title_short Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
title_full Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
title_fullStr Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
title_full_unstemmed Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
title_sort Describing unpaid carers’ health service use in local areas across Wales: A retrospective cohort study using linked routinely collected data
author_id_str_mv aa1b025ec0243f708bb5eb0a93d6fb52
a6e0845bcffe24baf1d2cc6233b489f1
author_id_fullname_str_mv aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari
a6e0845bcffe24baf1d2cc6233b489f1_***_Claire Newman
author Ashley Akbari
Claire Newman
author2 Laura Bentley
Jerlyn Peh
Georgia Beckett-Hill
Karen Hodgson
Ashley Akbari
Claire Newman
Owen Davies
Walid Chehtane
Lisa Trigg
Joanna Dundon
Gareth John
Alisha Davies
Claire Newman
format Conference Paper/Proceeding/Abstract
container_title International Journal of Population Data Science
container_volume 8
container_issue 2
publishDate 2023
institution Swansea University
issn 2399-4908
doi_str_mv 10.23889/ijpds.v8i2.2251
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
url http://dx.doi.org/10.23889/ijpds.v8i2.2251
document_store_str 0
active_str 0
published_date 2023-09-14T11:07:28Z
_version_ 1780630997189001216
score 11.013082