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Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK
BACKGROUND: Homelessness is an extreme form of social exclusion, with homeless people experiencing considerable social and health inequities. Estimates of morbidity and mortality amongst homeless populations is limited due to the lack of recording of housing status across health datasets. The aim of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715293/ https://www.ncbi.nlm.nih.gov/pubmed/34121112 http://dx.doi.org/10.1093/pubmed/fdab180 |
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author | Song, Jiao Grey, Charlotte N B Davies, Alisha R |
author_facet | Song, Jiao Grey, Charlotte N B Davies, Alisha R |
author_sort | Song, Jiao |
collection | PubMed |
description | BACKGROUND: Homelessness is an extreme form of social exclusion, with homeless people experiencing considerable social and health inequities. Estimates of morbidity and mortality amongst homeless populations is limited due to the lack of recording of housing status across health datasets. The aim of this study is to: (i) identify a homelessness e-cohort by linking routine health data in Wales, and (ii) explore whether a period of reported past homelessness, places this population at greater risk of morbidity and mortality. METHODS: Homelessness identified through linkage across primary, secondary care and substance misuse datasets in the Secure Anonymised Information Linkage (SAIL) Databank. Mortality was examined through linkage to the Office for National Statistics mortality data. RESULTS: E-cohort of 15 472 individuals with lived experience of homelessness identified. Of those, 21 individuals died between February and July 2020 involving coronavirus disease of 2019 (COVID-19). Those with lived experience of homelessness had increased mortality from many causes including accidents, liver diseases and suicides. CONCLUSION: Linking multiple routine datasets provides a more comprehensive dataset of a marginalized population, including individuals who are not included in government homeless statistics. Application of the cohort demonstrated that individuals with lived experience of homelessness have increased mortality involving COVID-19 and other causes. The underlying reasons, health needs and causes of death warrant further exploration. |
format | Online Article Text |
id | pubmed-9715293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97152932022-12-02 Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK Song, Jiao Grey, Charlotte N B Davies, Alisha R J Public Health (Oxf) Short Report BACKGROUND: Homelessness is an extreme form of social exclusion, with homeless people experiencing considerable social and health inequities. Estimates of morbidity and mortality amongst homeless populations is limited due to the lack of recording of housing status across health datasets. The aim of this study is to: (i) identify a homelessness e-cohort by linking routine health data in Wales, and (ii) explore whether a period of reported past homelessness, places this population at greater risk of morbidity and mortality. METHODS: Homelessness identified through linkage across primary, secondary care and substance misuse datasets in the Secure Anonymised Information Linkage (SAIL) Databank. Mortality was examined through linkage to the Office for National Statistics mortality data. RESULTS: E-cohort of 15 472 individuals with lived experience of homelessness identified. Of those, 21 individuals died between February and July 2020 involving coronavirus disease of 2019 (COVID-19). Those with lived experience of homelessness had increased mortality from many causes including accidents, liver diseases and suicides. CONCLUSION: Linking multiple routine datasets provides a more comprehensive dataset of a marginalized population, including individuals who are not included in government homeless statistics. Application of the cohort demonstrated that individuals with lived experience of homelessness have increased mortality involving COVID-19 and other causes. The underlying reasons, health needs and causes of death warrant further exploration. Oxford University Press 2021-06-12 /pmc/articles/PMC9715293/ /pubmed/34121112 http://dx.doi.org/10.1093/pubmed/fdab180 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Short Report Song, Jiao Grey, Charlotte N B Davies, Alisha R Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title | Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title_full | Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title_fullStr | Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title_full_unstemmed | Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title_short | Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK |
title_sort | creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in wales, uk |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715293/ https://www.ncbi.nlm.nih.gov/pubmed/34121112 http://dx.doi.org/10.1093/pubmed/fdab180 |
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