Literature DB >> 32540515

Does long-term care insurance reduce hospital utilization and medical expenditures? Evidence from China.

Jin Feng1, Zhen Wang2, Yangyang Yu3.   

Abstract

This study examines the effect of long-term care insurance (LTCI) on hospital utilization and expenditures among the elderly in China. We exploit the introduction of public LTCI in Shanghai, China, and implement a difference-in-difference technique to disentangle the effects of LTCI. We find that the introduction of LTCI significantly reduces the length of stay, inpatient expenditures, and health insurance expenditures in tertiary hospitals by 41.0%, 17.7%, and 11.4%, respectively. We find a greater effect on people over 80 years old. Outpatient visits in tertiary hospitals decrease by 8.1% per month after LTCI. The possible mechanisms are the substitution of long term care for hospitalization and health improvement. Our cost-effectiveness analysis indicates that every extra 1 yuan spent in LTCI will generate a decrease of 8.6 yuan in health insurance expenditures.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bed-blocking; China; Hospital utilization; Long-term care insurance; Medical expenditures

Mesh:

Year:  2020        PMID: 32540515     DOI: 10.1016/j.socscimed.2020.113081

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  11 in total

1.  Assessing the Sustainability of Long-Term Care Insurance Systems Based on a Policy-Population-Economy Complex System: The Case Study of China.

Authors:  Rong Peng; Xueqin Deng; Yinghua Xia; Bei Wu
Journal:  Int J Environ Res Public Health       Date:  2022-05-27       Impact factor: 4.614

2.  'Investing' in care for old age? An examination of long-term care expenditure dynamics and its spillovers.

Authors:  Joan Costa-Font; Cristina Vilaplana-Prieto
Journal:  Empir Econ       Date:  2022-05-27

3.  Caregiver burden and its associated factors among family caregivers of persons with dementia in Shanghai, China: a cross-sectional study.

Authors:  Zhijian Liu; Wenjing Sun; Honglin Chen; Jianhua Zhuang; Bei Wu; Hanzhang Xu; Peng Li; Xiaohan Chen; Juan Li; You Yin
Journal:  BMJ Open       Date:  2022-05-24       Impact factor: 3.006

4.  Total care expenditures and their drivers among older adults: A study on health and long-term care expenditures in South Korea.

Authors:  Hyo Young Lee; Young-Ran Chin
Journal:  BMC Health Serv Res       Date:  2022-04-25       Impact factor: 2.655

5.  The impact of long-term care insurance in China on beneficiaries and caregivers: A systematic review.

Authors:  Simiao Chen; Linye Li; Juntao Yang; Lirui Jiao; Todd Golden; Zhuoran Wang; Haitao Liu; Peixin Wu; Till Bärnighausen; Pascal Geldsetzer; Chen Wang
Journal:  J Glob Health Econ Policy       Date:  2021-11-16

6.  Evaluating the long-term care insurance policy from medical expenses and health security equity perspective: evidence from China.

Authors:  Huan Liu; Tiantian Hu
Journal:  Arch Public Health       Date:  2022-01-04

7.  Public trust in the long-term care insurance pilot program in China: An analysis of mediating effects.

Authors:  Rong Peng; Wansha Zhang; Xueqin Deng; Bei Wu
Journal:  Front Public Health       Date:  2022-07-19

8.  The Impact of Long-Term Care Insurance on Medical Utilization and Expenditures: Evidence from Jingmen, China.

Authors:  Xueqin Deng; Jiaxin Liao; Rong Peng; Jiahao Chen
Journal:  Int J Environ Res Public Health       Date:  2022-09-27       Impact factor: 4.614

Review 9.  Review of evolution of the public long-term care insurance (LTCI) system in different countries: influence and challenge.

Authors:  Linhong Chen; Lu Zhang; Xiaocang Xu
Journal:  BMC Health Serv Res       Date:  2020-11-20       Impact factor: 2.655

10.  Direct Medical Costs of Parkinson's Disease in Southern China: A Cross-Sectional Study Based on Health Insurance Claims Data in Guangzhou City.

Authors:  Hui Zhang; Wenjing Zhou; Donglan Zhang
Journal:  Int J Environ Res Public Health       Date:  2022-03-09       Impact factor: 3.390

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