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在英国威尔士创建一个具有无家可归经历和随后死亡经历的个体电子队列。

Creating an e-cohort of individuals with lived experience of homelessness and subsequent mortality in Wales, UK.

机构信息

Research & Evaluation Division, Knowledge Directorate, Public Health Wales, Cardiff, CF10 4BZ, UK.

出版信息

J Public Health (Oxf). 2022 Dec 1;44(4):805-809. doi: 10.1093/pubmed/fdab180.

Abstract

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.

摘要

背景

无家可归是一种极端形式的社会排斥,无家可归者经历着相当大的社会和健康不平等。由于缺乏对健康数据集中住房状况的记录,无家可归者的发病率和死亡率估计受到限制。本研究旨在:(i)通过在威尔士的常规健康数据链接来识别无家可归者队列,(ii)探讨过去报告的无家可归期是否会使该人群面临更高的发病率和死亡率。

方法

通过在 SAIL 数据库中的初级保健、二级保健和药物滥用数据集之间进行链接来识别无家可归者。通过与国家统计局死亡率数据链接来检查死亡率。

结果

确定了有过无家可归经历的 15472 人的 E 队列。其中,21 人在 2020 年 2 月至 7 月期间死于与 2019 年冠状病毒病(COVID-19)相关的疾病。有过无家可归经历的人因许多原因导致死亡率增加,包括意外、肝脏疾病和自杀。

结论

链接多个常规数据集可以提供更全面的边缘化人群数据集,包括未包含在政府无家可归统计数据中的人群。该队列的应用表明,有过无家可归经历的人因 COVID-19 和其他原因导致死亡率增加。其根本原因、健康需求和死亡原因值得进一步探讨。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d29e/9715293/de521e6e7716/fdab180f1.jpg

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