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Spatial Analysis and Comparison of the Economic Burden of Common Diseases: An Investigation of 5.7 Million Rural Elderly Inpatients in Southeast China, 2010-2016. | LitMetric

AI Article Synopsis

  • * Using geographical tools, the research identified that counties with high CHE rates were mainly in the eastern coastal region, with unspecified transport accidents, cardiovascular disease, and essential hypertension as the top causes.
  • * Findings suggest that improving hospital bed availability and managing hospital resources effectively can help reduce medical costs for the rural elderly, emphasizing the need for better health policies and resource allocation in an aging society.

Article Abstract

As China embraced an aging society, the burden of age-related diseases had increased dramatically. Knowledge about spatial distribution characteristics of disease burden and the influencing factors of medical expenditure is of great significance to the formulation of health policies. However, related research in rural China is still insufficient. A total of 5,744,717 records of hospitalized rural elderly in southeast China were collected from 2010 to 2016. We described the temporal trends of hospitalization medical expenditure and the prevalence of catastrophic health expenses (CHE) in the rural elderly by common diseases. Then, geographical information tools were used for visualization of geographic distribution patterns of CHE, the ordinary least squares methods (OLS) and geographically weighted regression (GWR) were employed to examine the influencing factors of medical expenditure. The number of CHE hospitalizations and the total number of hospitalizations for the rural elderly people increased by 2.1 times and 2.2 times, respectively, from 2010 to 2016. Counties with a high prevalence of CHE were clustered in the eastern coastal area (Moran's = 0.620, < 0.001, General < 0.001, < 0.001). Unspecified transport accidents, cardiovascular disease, and essential hypertension were the top causes of CHE in the rural elderly. Adequate hospital beds ( < 0.05) and reasonable utilization and distribution of town-level ( < 0.001) and county-level hospitals ( < 0.001) may help reduce medical expenditures. In the context of an aging society, the disease burden for the elderly in rural areas should arouse more attention. These findings highlight the importance of age-related disease prevention and the rational allocation of medical resources in rural areas.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8635627PMC
http://dx.doi.org/10.3389/fpubh.2021.774342DOI Listing

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