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

• Published in: Journal of public health (Oxford, England) England), 2024-02, Vol.46 (1), p.144-150
• Main Authors: Huang, Fangzhou, Song, Jiao, Davies, Alisha R
• Format: Article
• Language: English
• Subjects: Caregivers; Humans; Information Storage and Retrieval; Research Design; Short Report; Wales - epidemiology
• ISSN: 1741-3842; 1741-3850; 1741-3850
• DOI: 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 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.