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Household size and its role in the association between multimorbidity and health and social care outcomes in older adults in Wales: retrospective cohort study

Clare MacRae Orcid Logo, Stewart W Mercer Orcid Logo, Rhiannon Owen Orcid Logo, Rose Penfold, Stella Arakelyan, Chris Dibben, Jamie Pearce, Andrew Lawson, Nazir I Lone Orcid Logo, Karin Modig, Bruce Guthrie Orcid Logo

BMJ Medicine, Volume: 4, Issue: 1, Start page: e001317

Swansea University Author: Rhiannon Owen Orcid Logo

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DOI (Published version): 10.1136/bmjmed-2024-001317

Abstract

Objective To examine how the risk of unplanned admission to hospital and transitioning to live in a care home by number of long term conditions varies by household size.Design Retrospective cohort study.Setting Wales Census 2011 household data, linked to the Welsh Secure Anonymised Information Linka...

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Published in: BMJ Medicine
ISSN: 2754-0413
Published: BMJ 2025
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URI: https://cronfa.swan.ac.uk/Record/cronfa71456
Abstract: Objective To examine how the risk of unplanned admission to hospital and transitioning to live in a care home by number of long term conditions varies by household size.Design Retrospective cohort study.Setting Wales Census 2011 household data, linked to the Welsh Secure Anonymised Information Linkage (SAIL) Databank, 27 March 2011 to 26 March 2016.Participants 391 686 residents of Wales recorded in the Wales Census on 27 March 2011, aged ≥65 years, living in Welsh households of one to six residents, registered with a general practitioner contributing data to the SAIL Databank.Main outcome measures Time to the first unplanned hospital admission and time to transition from living at home in the community to living in a care home, for individuals with 0-1, 2-3, or ≥4 long term conditions living alone or in households with two residents or three or more residents.Results Of the 391 686 individuals included, 36.8% lived alone, 54.0% lived in households of two, and 9.2% lived in households with three or more people. The number of long term conditions was strongly associated with the risk of hospital admission and transition to a care home. In those living in two person households, participants with ≥4 long term conditions versus those with 0-1 long term conditions had a higher risk of unplanned hospital admissions (adjusted hazard ratio 2.51, 95% confidence interval (CI) 2.47 to 2.55; crude event rate 180.1 (95% CI 178.5 to 181.7) v 54.8 (53.9 to 55.7) per 1000 person years) and of transitioning to live in a care home (adjusted hazard ratio 2.57, 2.49 to 2.66; crude event rate 7.2 (6.9 to 7.5) v 1.40 (1.3 to 1.5) per 1000 person years). Household size was associated with an increased risk of both outcomes but more strongly with transition to a care home than unplanned hospital admission. The risk of unplanned hospital admissions was higher for people with 0-1 long term conditions who lived alone than for those who lived in a two person household (adjusted hazard ratio 1.19, 95% CI 1.17 to 1.22; crude event rate 74.9 (95% CI 73.4 to 76.4) v 54.8 (53.9 to 55.7) per 1000 person years) and for transitioning to live in a care home (adjusted hazard ratio 1.48, 1.42 to 1.54; crude event rate 5.4 (5.0 to 5.8) v 1.4 (1.3 to 1.5) per 1000 person years). The association between the number of long term conditions and both outcomes varied by household size. Individuals with 0-1 long term conditions and living alone showed a higher risk of transitioning to live in a care home than individuals with 2-3 long term conditions living in two person households.Conclusions In this study, the number of long term conditions was strongly associated with the risk of hospital admission and transition to living in a care home, and this association was less pronounced among those living alone. The risk of transitioning to live in a care home was higher for people with 0-1 long term conditions who lived alone than for those with 2-3 long term conditions who lived in two person households. These findings emphasise the need for personalised strategies that reduce the risk of unplanned admissions to hospital and support independent living, and that consider both the degree of multimorbidity and household size.
College: Faculty of Medicine, Health and Life Sciences
Funders: The study was funded by the Medical Research Council MR/W000253/1 fellowship to CM, the National Institute for Health and Care Research (NIHR) Artificial Intelligence and Multimorbidity: Clustering in Individuals, Space and Clinical Context (AIM- CISC) grant NIHR202639, and Legal and General funding for the Advanced Care Research Centre.
Issue: 1
Start Page: e001317

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