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Disability and Long-Term Care in Singapore

Public systems for long term care (LTC) redistribute resources between generations. Population aging is one of the most significant transformations in the 21st century, where the number of older persons aged 60 years and above is expected to double by 2050, rising to 2.1 billion. We used the Future...

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Detalles Bibliográficos
Autores principales: Huijun, Cynthia Chen, Chia, Ngee Choon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742830/
http://dx.doi.org/10.1093/geroni/igaa057.2476
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author Huijun, Cynthia Chen
Chia, Ngee Choon
author_facet Huijun, Cynthia Chen
Chia, Ngee Choon
author_sort Huijun, Cynthia Chen
collection PubMed
description Public systems for long term care (LTC) redistribute resources between generations. Population aging is one of the most significant transformations in the 21st century, where the number of older persons aged 60 years and above is expected to double by 2050, rising to 2.1 billion. We used the Future Elderly Model (FEM) to project the impact of population aging in Singapore up to the year 2050. The FEM is a dynamic economic and demographic microsimulation model. By 2050, the total number of older adults with potential limitation in activities of daily living (ADL) was projected to increase to 275 thousand (18.9%). With the increasing prevalence of disability and chronic diseases, older adults might not have sufficient savings to meet future needs sustainably, despite the expansion of disability insurance from ElderShield to CareShield Life. Lessons and best practices for LTC could be transferred from our experiences to other aging cities globally. Part of a symposium sponsored by International Comparisons of Healthy Aging Interest Group.
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spelling pubmed-77428302020-12-21 Disability and Long-Term Care in Singapore Huijun, Cynthia Chen Chia, Ngee Choon Innov Aging Abstracts Public systems for long term care (LTC) redistribute resources between generations. Population aging is one of the most significant transformations in the 21st century, where the number of older persons aged 60 years and above is expected to double by 2050, rising to 2.1 billion. We used the Future Elderly Model (FEM) to project the impact of population aging in Singapore up to the year 2050. The FEM is a dynamic economic and demographic microsimulation model. By 2050, the total number of older adults with potential limitation in activities of daily living (ADL) was projected to increase to 275 thousand (18.9%). With the increasing prevalence of disability and chronic diseases, older adults might not have sufficient savings to meet future needs sustainably, despite the expansion of disability insurance from ElderShield to CareShield Life. Lessons and best practices for LTC could be transferred from our experiences to other aging cities globally. Part of a symposium sponsored by International Comparisons of Healthy Aging Interest Group. Oxford University Press 2020-12-16 /pmc/articles/PMC7742830/ http://dx.doi.org/10.1093/geroni/igaa057.2476 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
Huijun, Cynthia Chen
Chia, Ngee Choon
Disability and Long-Term Care in Singapore
title Disability and Long-Term Care in Singapore
title_full Disability and Long-Term Care in Singapore
title_fullStr Disability and Long-Term Care in Singapore
title_full_unstemmed Disability and Long-Term Care in Singapore
title_short Disability and Long-Term Care in Singapore
title_sort disability and long-term care in singapore
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742830/
http://dx.doi.org/10.1093/geroni/igaa057.2476
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