Cargando…

Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation

OBJECTIVE: The aging population in China highlights the significance of long-term care insurance (LTCI). This study provides policy suggestions for China to establish a sustainable LTCI financing mechanism by predicting the trend of funds balance and screening the appropriate financing scheme. METHO...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Liangwen, Fu, Sijia, Wang, Yifan, Fang, Ya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538358/
https://www.ncbi.nlm.nih.gov/pubmed/36211654
http://dx.doi.org/10.3389/fpubh.2022.908864
_version_ 1784803342239662080
author Zhang, Liangwen
Fu, Sijia
Wang, Yifan
Fang, Ya
author_facet Zhang, Liangwen
Fu, Sijia
Wang, Yifan
Fang, Ya
author_sort Zhang, Liangwen
collection PubMed
description OBJECTIVE: The aging population in China highlights the significance of long-term care insurance (LTCI). This study provides policy suggestions for China to establish a sustainable LTCI financing mechanism by predicting the trend of funds balance and screening the appropriate financing scheme. METHOD: A system dynamics model (SDM) of LTCI funds was constructed by clarifying the current situation and its main influencing factors of revenue and expenditure of LTCI funds in China. Also, through literature research and expert consultation, we found the intervention goals and predicted the changing trend of LTCI fund balance from 2020 to 2050 under different intervention schemes. RESULTS: The SDM of LTCI financing passes the dimensional consistency test, structural test, and historical test. Therefore, it can objectively reflect the structure and behavior of the financing system. It is found that the factors affecting the revenue and expenditure system of LTCI funds mainly include economic factors, demographic factors, and other factors. By adjusting three intervention indicators, namely, individual payment rate, reimbursement proportion, and severe disability rate, this study produces 45 financing combination schemes. By comparing the changing trend of LTCI fund balance under different intervention schemes, according to the screening principle, five better financing schemes are finally selected. These five financing schemes have no deficit and excessive balance in the forecast period, which is in line with the principle of sustainability. It can provide a reference for the selection of financing schemes in pilot areas. DISCUSSION: This study has optimized the policy of the LTCI financing mechanism, determined the suitable LTCI participants, financing channels and levels, and screened out the suitable LTCI financing policy optimization scheme for China. By appropriately increasing the individual payment rate, strengthening the disability intervention of the elderly, formulating scientific and objective disability evaluation standards, and finally establishing a dynamic financing adjustment mechanism of LTCI. This study can provide a basis for the scientific formulation of the LTCI financing mechanism in China and provide a reference for developing countries to establish a sustainable LTCI.
format Online
Article
Text
id pubmed-9538358
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95383582022-10-08 Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation Zhang, Liangwen Fu, Sijia Wang, Yifan Fang, Ya Front Public Health Public Health OBJECTIVE: The aging population in China highlights the significance of long-term care insurance (LTCI). This study provides policy suggestions for China to establish a sustainable LTCI financing mechanism by predicting the trend of funds balance and screening the appropriate financing scheme. METHOD: A system dynamics model (SDM) of LTCI funds was constructed by clarifying the current situation and its main influencing factors of revenue and expenditure of LTCI funds in China. Also, through literature research and expert consultation, we found the intervention goals and predicted the changing trend of LTCI fund balance from 2020 to 2050 under different intervention schemes. RESULTS: The SDM of LTCI financing passes the dimensional consistency test, structural test, and historical test. Therefore, it can objectively reflect the structure and behavior of the financing system. It is found that the factors affecting the revenue and expenditure system of LTCI funds mainly include economic factors, demographic factors, and other factors. By adjusting three intervention indicators, namely, individual payment rate, reimbursement proportion, and severe disability rate, this study produces 45 financing combination schemes. By comparing the changing trend of LTCI fund balance under different intervention schemes, according to the screening principle, five better financing schemes are finally selected. These five financing schemes have no deficit and excessive balance in the forecast period, which is in line with the principle of sustainability. It can provide a reference for the selection of financing schemes in pilot areas. DISCUSSION: This study has optimized the policy of the LTCI financing mechanism, determined the suitable LTCI participants, financing channels and levels, and screened out the suitable LTCI financing policy optimization scheme for China. By appropriately increasing the individual payment rate, strengthening the disability intervention of the elderly, formulating scientific and objective disability evaluation standards, and finally establishing a dynamic financing adjustment mechanism of LTCI. This study can provide a basis for the scientific formulation of the LTCI financing mechanism in China and provide a reference for developing countries to establish a sustainable LTCI. Frontiers Media S.A. 2022-09-23 /pmc/articles/PMC9538358/ /pubmed/36211654 http://dx.doi.org/10.3389/fpubh.2022.908864 Text en Copyright © 2022 Zhang, Fu, Wang and Fang. https://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
Zhang, Liangwen
Fu, Sijia
Wang, Yifan
Fang, Ya
Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title_full Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title_fullStr Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title_full_unstemmed Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title_short Research on the optimization of financing scheme of long-term care insurance in China based on system dynamics simulation
title_sort research on the optimization of financing scheme of long-term care insurance in china based on system dynamics simulation
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9538358/
https://www.ncbi.nlm.nih.gov/pubmed/36211654
http://dx.doi.org/10.3389/fpubh.2022.908864
work_keys_str_mv AT zhangliangwen researchontheoptimizationoffinancingschemeoflongtermcareinsuranceinchinabasedonsystemdynamicssimulation
AT fusijia researchontheoptimizationoffinancingschemeoflongtermcareinsuranceinchinabasedonsystemdynamicssimulation
AT wangyifan researchontheoptimizationoffinancingschemeoflongtermcareinsuranceinchinabasedonsystemdynamicssimulation
AT fangya researchontheoptimizationoffinancingschemeoflongtermcareinsuranceinchinabasedonsystemdynamicssimulation