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. 2021 Jun 27;18(13):6907.
doi: 10.3390/ijerph18136907.

The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China

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The Health Status Transition and Medical Expenditure Evaluation of Elderly Population in China

Lianjie Wang et al. Int J Environ Res Public Health. .

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.

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Conflict of interest statement

There is no conflict of interest.

Figures

Figure 1
Figure 1
Prediction of annual medical expenditure for the elderly in China, 2020–2060.

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References

    1. 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
    1. 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.
    1. Katz S., Ford A.B., Moskowitz R.W., Jackson B.A., Jaffe M.W. Studies of illness in the aged: The index of ADL: A standardized measure of biological and psychosocial function. JAMA. 1963;185:914–919. doi: 10.1001/jama.1963.03060120024016. - DOI - PubMed
    1. 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
    1. Keyes K.M., Utz R.L., Robinson W., Li G. What is a cohort effect? Comparison of three statistical methods for modeling cohort effects in obesity prevalence in the United States, 1971–2006. Soc. Sci. Med. 2010;70:1100–1108. doi: 10.1016/j.socscimed.2009.12.018. - DOI - PMC - PubMed

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