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Health of unpaid carers in Wales, UK: a population data linkage study

Fangzhou Huang Orcid Logo, Jiao Song, Alisha R Davies

Journal of Public Health, Volume: 46, Issue: 1, Pages: 144 - 150

Swansea University Author: Fangzhou Huang Orcid Logo

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DOI (Published version): 10.1093/pubmed/fdad207

Abstract

Background: The population of unpaid carers in Wales increased to record. There is no systematic approach to record unpaid caring status, resulting in limited quantitative evidence on unpaid carers’ health. The aim of this study is to: (i) create an e-cohort of unpaid carers by linking routinely col...

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Published in: Journal of Public Health
ISSN: 1741-3842 1741-3850
Published: Oxford University Press (OUP) 2024
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URI: https://cronfa.swan.ac.uk/Record/cronfa64940
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spelling v2 64940 2023-11-08 Health of unpaid carers in Wales, UK: a population data linkage study 056c3ea10b44f9eb5b15e965119478de 0000-0002-3789-8593 Fangzhou Huang Fangzhou Huang true false 2023-11-08 BAF Background: The population of unpaid carers in Wales increased to record. There is no systematic approach to record unpaid caring status, resulting in limited quantitative evidence on unpaid carers’ health. The aim of this study is to: (i) create an e-cohort of unpaid carers by linking routinely collected health and administrative datasets in Wales, UK. (ii) investigate whether long-term health conditions and multimorbidity are more prevalent amongst unpaid carers than non-carers. Methods: Unpaid carers were identified by linking primary care dataset, National Survey for Wales data with demographic characteristics in the Secure Anonymise Information Linkage Databank. The clinical codes identified in Cambridge Multimorbidity Score were used to explore the prevalence of long-term health conditions. Results: A total of 91 220 unpaid carers in Wales were identified between 1 January 2010 and 1 March 2022. Unpaid carers were found at higher risk of managing 35 of 37 long-term health conditions and multimorbidity than non-carers, exacerbated amongst younger age groups and deprived communities. Conclusions: The creation of the first e-cohort of unpaid carers in Wales provides opportunities to perform rapid analysis to systematically understand health needs and evaluate initiatives in future. To better support unpaid carers, flexible approaches focusing on early identification and prevention is crucial. Journal Article Journal of Public Health 46 1 144 150 Oxford University Press (OUP) 1741-3842 1741-3850 Carers, morbidity and mortality, public health 23 2 2024 2024-02-23 10.1093/pubmed/fdad207 http://dx.doi.org/10.1093/pubmed/fdad207 COLLEGE NANME Accounting and Finance COLLEGE CODE BAF Swansea University This work was supported by Public Health Wales. 2024-03-19T11:50:54.2168752 2023-11-08T11:11:52.4371565 Faculty of Humanities and Social Sciences School of Management - Accounting and Finance Fangzhou Huang 0000-0002-3789-8593 1 Jiao Song 2 Alisha R Davies 3 64940__29206__989e6e42e3554f8881904831f8878ba0.pdf 64940.VOR.pdf 2023-12-04T18:02:45.7755353 Output 575953 application/pdf Version of Record true © The Author(s) 2023. Published by Oxford University Press on behalf of Faculty of Public Health. Distributed under the terms of a Creative Commons Attribution 4.0 International License (CC BY 4.0). true eng https://creativecommons.org/licenses/by/4.0/
title Health of unpaid carers in Wales, UK: a population data linkage study
spellingShingle Health of unpaid carers in Wales, UK: a population data linkage study
Fangzhou Huang
title_short Health of unpaid carers in Wales, UK: a population data linkage study
title_full Health of unpaid carers in Wales, UK: a population data linkage study
title_fullStr Health of unpaid carers in Wales, UK: a population data linkage study
title_full_unstemmed Health of unpaid carers in Wales, UK: a population data linkage study
title_sort Health of unpaid carers in Wales, UK: a population data linkage study
author_id_str_mv 056c3ea10b44f9eb5b15e965119478de
author_id_fullname_str_mv 056c3ea10b44f9eb5b15e965119478de_***_Fangzhou Huang
author Fangzhou Huang
author2 Fangzhou Huang
Jiao Song
Alisha R Davies
format Journal article
container_title Journal of Public Health
container_volume 46
container_issue 1
container_start_page 144
publishDate 2024
institution Swansea University
issn 1741-3842
1741-3850
doi_str_mv 10.1093/pubmed/fdad207
publisher Oxford University Press (OUP)
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Accounting and Finance{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Accounting and Finance
url http://dx.doi.org/10.1093/pubmed/fdad207
document_store_str 1
active_str 0
description Background: The population of unpaid carers in Wales increased to record. There is no systematic approach to record unpaid caring status, resulting in limited quantitative evidence on unpaid carers’ health. The aim of this study is to: (i) create an e-cohort of unpaid carers by linking routinely collected health and administrative datasets in Wales, UK. (ii) investigate whether long-term health conditions and multimorbidity are more prevalent amongst unpaid carers than non-carers. Methods: Unpaid carers were identified by linking primary care dataset, National Survey for Wales data with demographic characteristics in the Secure Anonymise Information Linkage Databank. The clinical codes identified in Cambridge Multimorbidity Score were used to explore the prevalence of long-term health conditions. Results: A total of 91 220 unpaid carers in Wales were identified between 1 January 2010 and 1 March 2022. Unpaid carers were found at higher risk of managing 35 of 37 long-term health conditions and multimorbidity than non-carers, exacerbated amongst younger age groups and deprived communities. Conclusions: The creation of the first e-cohort of unpaid carers in Wales provides opportunities to perform rapid analysis to systematically understand health needs and evaluate initiatives in future. To better support unpaid carers, flexible approaches focusing on early identification and prevention is crucial.
published_date 2024-02-23T11:50:55Z
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