The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China
- PMID: 34199100
- PMCID: PMC8296990
- DOI: 10.3390/ijerph18136907
The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China
Abstract
(1) Background: Because of the rapid expansion of the aging population in China, their health status transition and future medical expenditure have received increasing attention. This paper analyzes the health transition of the elderly and how their health transition impacts medical expenditures. At the same time, feasible policy suggestions are provided to respond to the rising medical expenditure and the demand for social care. (2) Methods: The data were obtained from the China Health and Retirement Longitudinal Study (CHARLS) from 2011 to 2015 and analyzed using the Markov model and the Two-Part model (TPM) to forecast the size of the elderly population and their medical expenditures for the period 2020-2060. (3) Results: The study indicates that: (1) for the elderly with a mild disability, the probability of their health improvement is high; in contrast, for the elderly with a moderate or severe disability, their health deterioration is almost certain; (2) the frequency of the diagnosis and treatments of the elderly is closely related to their health status and medical expenditure; alternatively, as the health status deteriorates, the intensity of the elderly individuals' acceptance of their diagnosis and treatment increases, and so does the medical expense; (3) the population of the elderly with mild and moderate disability demonstrates an inverted "U"-shape, which reaches a peak around 2048, whereas the elderly with severe disability show linear growth, being the target group for health care; (4) with the population increase of the elderly who have severe disability, the medical expenditure increases significantly and poses a huge threat to medical service supply. Conclusions: It is necessary to provide classified and targeted health care according to the health status of the elderly. In addition, improving the level of medical insurance, establishing a mechanism for sharing medical expenditure, and adjusting the basic demographic structure are all important policy choices.
Keywords: aging population; elderly health transition; long-term care; medical expenditure.
Conflict of interest statement
There is no conflict of interest.
Figures
Similar articles
-
Forecasting the Health Transition and Medical Expenditure of the Future Elderly in China: A Longitudinal Study Based on Markov Chain and Two Part Model.Front Public Health. 2022 Jan 13;9:774140. doi: 10.3389/fpubh.2021.774140. eCollection 2021. Front Public Health. 2022. PMID: 35096738 Free PMC article.
-
Medical insurance and healthcare utilization among the middle-aged and elderly in China: evidence from the China health and retirement longitudinal study 2011, 2013 and 2015.BMC Health Serv Res. 2020 Jul 14;20(1):654. doi: 10.1186/s12913-020-05522-w. BMC Health Serv Res. 2020. PMID: 32664947 Free PMC article.
-
Evaluation of status quo and determinants of catastrophic health expenditure among empty-nest elderly in China: evidence from the China health and retirement longitudinal survey (CHARLS).Eur Rev Med Pharmacol Sci. 2023 Feb;27(4):1398-1412. doi: 10.26355/eurrev_202302_31377. Eur Rev Med Pharmacol Sci. 2023. PMID: 36876680
-
Factors predicting health services use among older people in China: An analysis of the China Health and Retirement Longitudinal Study 2013.BMC Health Serv Res. 2016 Feb 18;16:63. doi: 10.1186/s12913-016-1307-8. BMC Health Serv Res. 2016. PMID: 26892677 Free PMC article.
-
Improving the performance of social health insurance system through increasing outpatient expenditure reimbursement ratio: a quasi-experimental evaluation study from rural China.Int J Equity Health. 2018 Jun 25;17(1):89. doi: 10.1186/s12939-018-0799-8. Int J Equity Health. 2018. PMID: 29940956 Free PMC article.
Cited by
-
Trends in health service needs, utilization, and non-communicable chronic diseases burden of older adults in China: evidence from the 1993 to 2018 National Health Service Survey.Int J Equity Health. 2023 Aug 30;22(1):169. doi: 10.1186/s12939-023-01983-7. Int J Equity Health. 2023. PMID: 37649033 Free PMC article.
-
Risk stratification of postoperative pulmonary complications in elderly patients undergoing lung cancer resection: a propensity score-matched study.J Thorac Dis. 2023 Jul 31;15(7):3908-3918. doi: 10.21037/jtd-23-923. Epub 2023 Jul 25. J Thorac Dis. 2023. PMID: 37559604 Free PMC article.
-
Will the Policy Instruments Mix Promote the Facility Input of Care Institutions for Older People in China?Front Public Health. 2022 Jun 1;10:840672. doi: 10.3389/fpubh.2022.840672. eCollection 2022. Front Public Health. 2022. PMID: 35719632 Free PMC article.
-
Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data.Front Public Health. 2022 Sep 29;10:977150. doi: 10.3389/fpubh.2022.977150. eCollection 2022. Front Public Health. 2022. PMID: 36249237 Free PMC article.
-
The impacts of the COVID-19 pandemic on indirect costs of mental illness and behavioral disorders in Poland.Front Public Health. 2023 Sep 18;11:1207389. doi: 10.3389/fpubh.2023.1207389. eCollection 2023. Front Public Health. 2023. PMID: 37790719 Free PMC article.
References
-
- Lu J., Liu Q. Four decades of studies on population aging in China. China Popul. Dev. Stud. 2019;3:24–36. doi: 10.1007/s42379-019-00027-4. - DOI
-
- National Bureau of Statistics Age Composition and Dependency Ratio of Population. [(accessed on 3 April 2021)]; Available online: http://www.stats.gov.cn/tjsj/ndsj/2019/indexeh.htm.
-
- Yi Z., Vaupel J.W., Zhenyu X., Chunyuan Z., Yuzhi L. Sociodemographic and health profiles of the oldest old in China. Popul. Dev. Rev. 2002;28:251–273. doi: 10.1111/j.1728-4457.2002.00251.x. - DOI
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources