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Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling
Objectives: This study examined how healthcare costs might change by reducing long-term care needs among older Japanese people. Methods: A simulation model was constructed comprising two aging chains for independent and dependent people aged ≥65 years by sex. Changes in the base run from 2020 to 204...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767848/ https://www.ncbi.nlm.nih.gov/pubmed/33381487 http://dx.doi.org/10.3389/fpubh.2020.592471 |
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author | Nishi, Nobuo Ikeda, Nayu Sugiyama, Takehiro Kurotani, Kayo Miyachi, Motohiko |
author_facet | Nishi, Nobuo Ikeda, Nayu Sugiyama, Takehiro Kurotani, Kayo Miyachi, Motohiko |
author_sort | Nishi, Nobuo |
collection | PubMed |
description | Objectives: This study examined how healthcare costs might change by reducing long-term care needs among older Japanese people. Methods: A simulation model was constructed comprising two aging chains for independent and dependent people aged ≥65 years by sex. Changes in the base run from 2020 to 2040 were compared with those in two hypothetical scenarios: a 2% annual reduction in death rates (S1), and S1 plus a 2% annual reduction in the proportion of dependent people aged 65 years and in transition rates from the independent to dependent state for people aged ≥65 years (S2). Results: In the base run, the population increased by 13.0% for men and 11.3% for women, and the proportion of dependent people increased by 4.6% for men but decreased by 13.4% for women. The sum of medical and long-term care expenditure increased in the base run, S1, and S2 by 8.2, 27.4, and 16.4%, respectively, for men and women combined. Conclusions: Healthcare costs will increase as death rates fall, but the increase will be attenuated if the proportion of dependent people decreases. |
format | Online Article Text |
id | pubmed-7767848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77678482020-12-29 Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling Nishi, Nobuo Ikeda, Nayu Sugiyama, Takehiro Kurotani, Kayo Miyachi, Motohiko Front Public Health Public Health Objectives: This study examined how healthcare costs might change by reducing long-term care needs among older Japanese people. Methods: A simulation model was constructed comprising two aging chains for independent and dependent people aged ≥65 years by sex. Changes in the base run from 2020 to 2040 were compared with those in two hypothetical scenarios: a 2% annual reduction in death rates (S1), and S1 plus a 2% annual reduction in the proportion of dependent people aged 65 years and in transition rates from the independent to dependent state for people aged ≥65 years (S2). Results: In the base run, the population increased by 13.0% for men and 11.3% for women, and the proportion of dependent people increased by 4.6% for men but decreased by 13.4% for women. The sum of medical and long-term care expenditure increased in the base run, S1, and S2 by 8.2, 27.4, and 16.4%, respectively, for men and women combined. Conclusions: Healthcare costs will increase as death rates fall, but the increase will be attenuated if the proportion of dependent people decreases. Frontiers Media S.A. 2020-12-14 /pmc/articles/PMC7767848/ /pubmed/33381487 http://dx.doi.org/10.3389/fpubh.2020.592471 Text en Copyright © 2020 Nishi, Ikeda, Sugiyama, Kurotani and Miyachi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Nishi, Nobuo Ikeda, Nayu Sugiyama, Takehiro Kurotani, Kayo Miyachi, Motohiko Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title | Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title_full | Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title_fullStr | Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title_full_unstemmed | Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title_short | Simulating the Impact of Long-Term Care Prevention Among Older Japanese People on Healthcare Costs From 2020 to 2040 Using System Dynamics Modeling |
title_sort | simulating the impact of long-term care prevention among older japanese people on healthcare costs from 2020 to 2040 using system dynamics modeling |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7767848/ https://www.ncbi.nlm.nih.gov/pubmed/33381487 http://dx.doi.org/10.3389/fpubh.2020.592471 |
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