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Chronic disease and medical spending of Chinese elderly in rural region
Mi Zhou1, Xiaotong Sun1, Li Huang1
1College of Economics and Management, Shenyang Agricultural University, Dongling Road 120, Shenyang, Liaoning Province, China.
Objective:
To determine whether or not chronic disease positively impacts medical costs among the rural elderly in China and to calculate medical expenditure induced by chronic disease between different groups of the rural elderly, as well as provide insight into the factors that affect medical losses induced by chronic disease among different household registration groups and different New Rural Pension Scheme statuses.
Design:
To estimate the share of medical expenses induced by chronic disease, this article uses a two-part model and a four-part model to analyze the causal effect of chronic disease on medical services and then uses a counter-factual method to estimate the share of medical expenses.
Setting:
The rapid development of China has changed nearly every aspect of life for the rural elderly. Many are concerned about the increasing prevalence of physical health issues, particularly chronic diseases, among the rural elderly. Nevertheless, there are no articles using nationally representative panel datasets that report differences in the cost of chronic disease between sub-populations.
Participants:
The panel dataset used for this study comes from the China Family Panel Studies (CFPS) data. In this study, we use the CFPS data for the years 2012, 2014 and 2016 to create a panel dataset that includes 2730 rural elderly for 3 years.
Interventions:
This article reports the representative estimate of medical expenditures attributable to chronic disease among rural elderly in China. On this basis, we estimate per capita medical spending among rural elderly under the condition of logarithmic normal distribution of different parameters between urban and rural or between groups that participate in the New Rural Pension Program and groups that do not.
Main Outcome Measures:
This study indicates that physical health status has a significant impact on both the probability of undergoing medical care and the size of medical expenditures among the rural elderly, and the influence was significant for all patients, including outpatients and inpatients.
Results:
Chronic illness has significant effects on individual medical expenses, and they aggregately contribute to 63.96% of total personal expected medical expenditure. Specifically, the medical spending caused by chronic disease was part of a non-uniform distribution, with the rural, male, older, married and higher educated groups spending more money on medical costs induced by chronic disease.
Conclusions:
Examining trends in the prevalence of chronic diseases and evaluating medical spending on chronic diseases can prevent and control potential medical costs among rural elderly, especially for vulnerable groups, which helps to predict future health-care needs.
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