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Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life

BACKGROUND: hospitalisations are sentinel events for people with dementia. How patterns of unplanned hospital admissions change among people with dementia after diagnosis is relatively unknown. OBJECTIVE: to describe patterns of unplanned hospital admissions of people with dementia from diagnosis un...

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Detalles Bibliográficos
Autores principales: Yorganci, Emel, Stewart, Robert, Sampson, Elizabeth L, Sleeman, Katherine E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113942/
https://www.ncbi.nlm.nih.gov/pubmed/35581158
http://dx.doi.org/10.1093/ageing/afac098
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author Yorganci, Emel
Stewart, Robert
Sampson, Elizabeth L
Sleeman, Katherine E
author_facet Yorganci, Emel
Stewart, Robert
Sampson, Elizabeth L
Sleeman, Katherine E
author_sort Yorganci, Emel
collection PubMed
description BACKGROUND: hospitalisations are sentinel events for people with dementia. How patterns of unplanned hospital admissions change among people with dementia after diagnosis is relatively unknown. OBJECTIVE: to describe patterns of unplanned hospital admissions of people with dementia from diagnosis until death/study end. METHODS: retrospective cohort study using mental healthcare provider data of people diagnosed with dementia in London, UK (1995–2017), linked to mortality and hospital data. The primary outcome was the rate of unplanned hospital admissions after diagnosis until death/study end. We calculated the cumulative incidence of unplanned hospital admissions. The rates of unplanned hospital admissions and the percentage of time spent as an inpatient were stratified by time from first dementia diagnosis. RESULTS: for 19,221 people with dementia (61.4% female, mean age at diagnosis 81.0 years (standard deviation, SD 8.5)), the cumulative incidence of unplanned hospital admissions (n = 14,759) was 76.8% (95% CI 76.3%–77.3%). Individuals remained in the study for mean 3.0 (SD 2.6) years, and 12,667 (65.9%) died. Rates and lengths of unplanned hospital admissions remained relatively low and short in the months after the dementia diagnosis, increasing only as people approached the end of life. Percentage of time spent as an inpatient was <3% for people who were alive at the study end but was on average 19.6 and 13.3% for the decedents in the last 6 and 12 months of life, respectively. CONCLUSIONS: the steep rise in hospitalisations before death highlights the need for improved community care and services for people with dementia who are approaching the end of life.
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spelling pubmed-91139422022-05-18 Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life Yorganci, Emel Stewart, Robert Sampson, Elizabeth L Sleeman, Katherine E Age Ageing Research Paper BACKGROUND: hospitalisations are sentinel events for people with dementia. How patterns of unplanned hospital admissions change among people with dementia after diagnosis is relatively unknown. OBJECTIVE: to describe patterns of unplanned hospital admissions of people with dementia from diagnosis until death/study end. METHODS: retrospective cohort study using mental healthcare provider data of people diagnosed with dementia in London, UK (1995–2017), linked to mortality and hospital data. The primary outcome was the rate of unplanned hospital admissions after diagnosis until death/study end. We calculated the cumulative incidence of unplanned hospital admissions. The rates of unplanned hospital admissions and the percentage of time spent as an inpatient were stratified by time from first dementia diagnosis. RESULTS: for 19,221 people with dementia (61.4% female, mean age at diagnosis 81.0 years (standard deviation, SD 8.5)), the cumulative incidence of unplanned hospital admissions (n = 14,759) was 76.8% (95% CI 76.3%–77.3%). Individuals remained in the study for mean 3.0 (SD 2.6) years, and 12,667 (65.9%) died. Rates and lengths of unplanned hospital admissions remained relatively low and short in the months after the dementia diagnosis, increasing only as people approached the end of life. Percentage of time spent as an inpatient was <3% for people who were alive at the study end but was on average 19.6 and 13.3% for the decedents in the last 6 and 12 months of life, respectively. CONCLUSIONS: the steep rise in hospitalisations before death highlights the need for improved community care and services for people with dementia who are approaching the end of life. Oxford University Press 2022-05-17 /pmc/articles/PMC9113942/ /pubmed/35581158 http://dx.doi.org/10.1093/ageing/afac098 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of the British Geriatrics Society. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Paper
Yorganci, Emel
Stewart, Robert
Sampson, Elizabeth L
Sleeman, Katherine E
Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title_full Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title_fullStr Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title_full_unstemmed Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title_short Patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
title_sort patterns of unplanned hospital admissions among people with dementia: from diagnosis to the end of life
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113942/
https://www.ncbi.nlm.nih.gov/pubmed/35581158
http://dx.doi.org/10.1093/ageing/afac098
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