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End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study

BACKGROUND: Hospitalisations are the prime contributor to healthcare expenditure, with older adults often identified as high hospital users. Despite the apparent high use of hospitals at the end of life, limited evidence currently exists regarding reasons for hospitalisation. Understanding complex e...

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Autores principales: Harris, Melissa L., Dolja-Gore, Xenia, Kendig, Hal, Byles, Julie E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017050/
https://www.ncbi.nlm.nih.gov/pubmed/27613597
http://dx.doi.org/10.1186/s12913-016-1729-3
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author Harris, Melissa L.
Dolja-Gore, Xenia
Kendig, Hal
Byles, Julie E.
author_facet Harris, Melissa L.
Dolja-Gore, Xenia
Kendig, Hal
Byles, Julie E.
author_sort Harris, Melissa L.
collection PubMed
description BACKGROUND: Hospitalisations are the prime contributor to healthcare expenditure, with older adults often identified as high hospital users. Despite the apparent high use of hospitals at the end of life, limited evidence currently exists regarding reasons for hospitalisation. Understanding complex end of life care needs is required for future health care planning as the global population ages. This study aimed to investigate patterns of hospitalisation in the last year of life by cause of death (COD) as well as reasons for admission and short-term predictors of hospital use. METHODS: Survey data from 1,205 decedents from the 1921–1926 cohort of the Australian Longitudinal Study on Women’s Health were matched with the state-based hospital records and the National Death Index. Hospital patterns based on COD were graphically summarised and multivariate logistic regression models examined the impact of short-term predictors of length of stay (LOS). RESULTS: 85 % of women had at least one admission in the last year of life; and 8 % had their first observed admission during this time. Reasons for hospitalisation, timing of admissions and LOS differed by COD. Women who died of cancer, diabetes and ‘other’ causes were admitted earlier than women who died of organ failure, dementia and influenza. Women who died of organ failure overall spent the longest time in hospital, and women with cancer had the highest median LOS. Longer LOS was associated with previous short- and medium-term- hospitalisations and type of hospital separation. CONCLUSIONS: Reducing acute care admissions and LOS at the end of life is complex and requires a shift in perceptions and treatment regarding end of life care and chronic disease management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1729-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-50170502016-09-10 End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study Harris, Melissa L. Dolja-Gore, Xenia Kendig, Hal Byles, Julie E. BMC Health Serv Res Research Article BACKGROUND: Hospitalisations are the prime contributor to healthcare expenditure, with older adults often identified as high hospital users. Despite the apparent high use of hospitals at the end of life, limited evidence currently exists regarding reasons for hospitalisation. Understanding complex end of life care needs is required for future health care planning as the global population ages. This study aimed to investigate patterns of hospitalisation in the last year of life by cause of death (COD) as well as reasons for admission and short-term predictors of hospital use. METHODS: Survey data from 1,205 decedents from the 1921–1926 cohort of the Australian Longitudinal Study on Women’s Health were matched with the state-based hospital records and the National Death Index. Hospital patterns based on COD were graphically summarised and multivariate logistic regression models examined the impact of short-term predictors of length of stay (LOS). RESULTS: 85 % of women had at least one admission in the last year of life; and 8 % had their first observed admission during this time. Reasons for hospitalisation, timing of admissions and LOS differed by COD. Women who died of cancer, diabetes and ‘other’ causes were admitted earlier than women who died of organ failure, dementia and influenza. Women who died of organ failure overall spent the longest time in hospital, and women with cancer had the highest median LOS. Longer LOS was associated with previous short- and medium-term- hospitalisations and type of hospital separation. CONCLUSIONS: Reducing acute care admissions and LOS at the end of life is complex and requires a shift in perceptions and treatment regarding end of life care and chronic disease management. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12913-016-1729-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-09 /pmc/articles/PMC5017050/ /pubmed/27613597 http://dx.doi.org/10.1186/s12913-016-1729-3 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Harris, Melissa L.
Dolja-Gore, Xenia
Kendig, Hal
Byles, Julie E.
End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title_full End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title_fullStr End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title_full_unstemmed End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title_short End of life hospitalisations differ for older Australian women according to death trajectory: a longitudinal data linkage study
title_sort end of life hospitalisations differ for older australian women according to death trajectory: a longitudinal data linkage study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017050/
https://www.ncbi.nlm.nih.gov/pubmed/27613597
http://dx.doi.org/10.1186/s12913-016-1729-3
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