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Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program
A cross sectional retrospective data linkage study of older adults discharged from local hospital avoidance program between January 2017 and January 2018 was undertaken (N=286; mean age 80.5 years). The prevalence of death at 3 months, 6 months, 12 months, 18 months and 33 months was calculated. Pat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740501/ http://dx.doi.org/10.1093/geroni/igaa057.456 |
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author | Gul, Shahzad Freund, Megan Sanson-Fisher, Robert Clapham, Matthew Webster, Penelope |
author_facet | Gul, Shahzad Freund, Megan Sanson-Fisher, Robert Clapham, Matthew Webster, Penelope |
author_sort | Gul, Shahzad |
collection | PubMed |
description | A cross sectional retrospective data linkage study of older adults discharged from local hospital avoidance program between January 2017 and January 2018 was undertaken (N=286; mean age 80.5 years). The prevalence of death at 3 months, 6 months, 12 months, 18 months and 33 months was calculated. Patient demographic characteristics associated with participant’s risk of mortality at 33 months after discharge was examined using Cox multivariable regression. Patient demographic and health characteristics associated with participant mortality within 12 months of discharge was examined using multivariable logistic regression for patients with complete health characteristic data (n=195). The mortality prevalence was 17% at six months and the cumulative prevalence at one year, 18 months and 33 months post discharge were 24%, 29% and 36% respectively. Patient demographic characteristics associated with participants’ risk of mortality at 33 months after discharge were gender, age and household arrangements. Health and demographic characteristics associated with mortality within 12 months of discharge were lower cognition, increased burden of comorbidity, decreased physical function, a weight less than 55 kilograms, older age and male gender. These results indicate that a significant proportion of people attending a hospital avoidance program are likely to be entering into the final year of their life. This suggests that hospital avoidance programs should routinely identify patients who are likely nearing end of life, and support advance care planning for this patient group. |
format | Online Article Text |
id | pubmed-7740501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77405012020-12-21 Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program Gul, Shahzad Freund, Megan Sanson-Fisher, Robert Clapham, Matthew Webster, Penelope Innov Aging Abstracts A cross sectional retrospective data linkage study of older adults discharged from local hospital avoidance program between January 2017 and January 2018 was undertaken (N=286; mean age 80.5 years). The prevalence of death at 3 months, 6 months, 12 months, 18 months and 33 months was calculated. Patient demographic characteristics associated with participant’s risk of mortality at 33 months after discharge was examined using Cox multivariable regression. Patient demographic and health characteristics associated with participant mortality within 12 months of discharge was examined using multivariable logistic regression for patients with complete health characteristic data (n=195). The mortality prevalence was 17% at six months and the cumulative prevalence at one year, 18 months and 33 months post discharge were 24%, 29% and 36% respectively. Patient demographic characteristics associated with participants’ risk of mortality at 33 months after discharge were gender, age and household arrangements. Health and demographic characteristics associated with mortality within 12 months of discharge were lower cognition, increased burden of comorbidity, decreased physical function, a weight less than 55 kilograms, older age and male gender. These results indicate that a significant proportion of people attending a hospital avoidance program are likely to be entering into the final year of their life. This suggests that hospital avoidance programs should routinely identify patients who are likely nearing end of life, and support advance care planning for this patient group. Oxford University Press 2020-12-16 /pmc/articles/PMC7740501/ http://dx.doi.org/10.1093/geroni/igaa057.456 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Abstracts Gul, Shahzad Freund, Megan Sanson-Fisher, Robert Clapham, Matthew Webster, Penelope Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title | Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title_full | Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title_fullStr | Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title_full_unstemmed | Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title_short | Prevalence and Predictors of Mortality for Older Adults Referred to a Hospital Avoidance Program |
title_sort | prevalence and predictors of mortality for older adults referred to a hospital avoidance program |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740501/ http://dx.doi.org/10.1093/geroni/igaa057.456 |
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