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Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data

BACKGROUND: Over two-thirds of older Australians use different types/levels of aged care at some point in later life. Our aims were to estimate transitional probabilities and to identify risk factors influencing the movement between different levels of long-term care. METHODS: The sample consisted o...

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Autores principales: Rahman, Md. Mijanur, Efird, Jimmy T., Byles, Julie E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814097/
https://www.ncbi.nlm.nih.gov/pubmed/31651250
http://dx.doi.org/10.1186/s12877-019-1291-z
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author Rahman, Md. Mijanur
Efird, Jimmy T.
Byles, Julie E.
author_facet Rahman, Md. Mijanur
Efird, Jimmy T.
Byles, Julie E.
author_sort Rahman, Md. Mijanur
collection PubMed
description BACKGROUND: Over two-thirds of older Australians use different types/levels of aged care at some point in later life. Our aims were to estimate transitional probabilities and to identify risk factors influencing the movement between different levels of long-term care. METHODS: The sample consisted of 9007 women from the 1921-26 birth cohort of the Australian Longitudinal Study on Women’s Health. Transitional probabilities between different levels of long-term care were estimated using a continuous-time Markov model. RESULTS: An 11-fold transition rates ratio was observed for the movement from non-user to home and community care (HACC) versus non-user to residential aged care (RAC). The predicted probabilities of remaining in the non-user state, HACC, and RAC after 10 years from the baseline were .28, .24, and .11, respectively. While the corresponding probabilities of dying from these states were .36, .65, and .90. The risk of transitioning from the non-user state to either HACC or RAC was greater for participants who were older at baseline, widowed, living outside of major cities, having difficulties in managing income, or having chronic condition, poor/fair self-rated health, or lower SF-36 scores (p < .05). CONCLUSION: Women spend a substantial period of their later life using long-term care. Typically, this will be in the community setting with a low level of care. The transition to either HACC or RAC was associated with several demographic and health-related factors. Our findings are important for the planning and improvement of long-term care among future generations of older people. TRIAL REGISTRATION: Not applicable.
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spelling pubmed-68140972019-10-31 Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data Rahman, Md. Mijanur Efird, Jimmy T. Byles, Julie E. BMC Geriatr Research Article BACKGROUND: Over two-thirds of older Australians use different types/levels of aged care at some point in later life. Our aims were to estimate transitional probabilities and to identify risk factors influencing the movement between different levels of long-term care. METHODS: The sample consisted of 9007 women from the 1921-26 birth cohort of the Australian Longitudinal Study on Women’s Health. Transitional probabilities between different levels of long-term care were estimated using a continuous-time Markov model. RESULTS: An 11-fold transition rates ratio was observed for the movement from non-user to home and community care (HACC) versus non-user to residential aged care (RAC). The predicted probabilities of remaining in the non-user state, HACC, and RAC after 10 years from the baseline were .28, .24, and .11, respectively. While the corresponding probabilities of dying from these states were .36, .65, and .90. The risk of transitioning from the non-user state to either HACC or RAC was greater for participants who were older at baseline, widowed, living outside of major cities, having difficulties in managing income, or having chronic condition, poor/fair self-rated health, or lower SF-36 scores (p < .05). CONCLUSION: Women spend a substantial period of their later life using long-term care. Typically, this will be in the community setting with a low level of care. The transition to either HACC or RAC was associated with several demographic and health-related factors. Our findings are important for the planning and improvement of long-term care among future generations of older people. TRIAL REGISTRATION: Not applicable. BioMed Central 2019-10-24 /pmc/articles/PMC6814097/ /pubmed/31651250 http://dx.doi.org/10.1186/s12877-019-1291-z Text en © The Author(s). 2019 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
Rahman, Md. Mijanur
Efird, Jimmy T.
Byles, Julie E.
Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title_full Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title_fullStr Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title_full_unstemmed Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title_short Transitioning of older Australian women into and through the long-term care system: a cohort study using linked data
title_sort transitioning of older australian women into and through the long-term care system: a cohort study using linked data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814097/
https://www.ncbi.nlm.nih.gov/pubmed/31651250
http://dx.doi.org/10.1186/s12877-019-1291-z
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