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

Background: 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. How...

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Autores principales:	Xuwei Tang, Xiaoxu Xie, Zhixiang Rao, Zhenquan Zheng, Chanchan Hu, Shanshan Li, Zhijian Hu
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	rural China older adults catastrophic health expenses geographically weighted regression age-related diseases Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/e1b7bae22c54493bbedd52c4dfd4a64e
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spelling	oai:doaj.org-article:e1b7bae22c54493bbedd52c4dfd4a64e2021-11-17T05:13:20ZSpatial Analysis and Comparison of the Economic Burden of Common Diseases: An Investigation of 5.7 Million Rural Elderly Inpatients in Southeast China, 2010–20162296-256510.3389/fpubh.2021.774342https://doaj.org/article/e1b7bae22c54493bbedd52c4dfd4a64e2021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fpubh.2021.774342/fullhttps://doaj.org/toc/2296-2565Background: 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.Methods: 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.Results: 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 I = 0.620, P < 0.001, General G < 0.001, P < 0.001). Unspecified transport accidents, cardiovascular disease, and essential hypertension were the top causes of CHE in the rural elderly. Adequate hospital beds (P < 0.05) and reasonable utilization and distribution of town-level (P < 0.001) and county-level hospitals (P < 0.001) may help reduce medical expenditures.Conclusions: 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.Xuwei TangXiaoxu XieZhixiang RaoZhenquan ZhengChanchan HuShanshan LiZhijian HuFrontiers Media S.A.articlerural Chinaolder adultscatastrophic health expensesgeographically weighted regressionage-related diseasesPublic aspects of medicineRA1-1270ENFrontiers in Public Health, Vol 9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	rural China older adults catastrophic health expenses geographically weighted regression age-related diseases Public aspects of medicine RA1-1270
spellingShingle	rural China older adults catastrophic health expenses geographically weighted regression age-related diseases Public aspects of medicine RA1-1270 Xuwei Tang Xiaoxu Xie Zhixiang Rao Zhenquan Zheng Chanchan Hu Shanshan Li Zhijian Hu 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
description	Background: 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.Methods: 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.Results: 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 I = 0.620, P < 0.001, General G < 0.001, P < 0.001). Unspecified transport accidents, cardiovascular disease, and essential hypertension were the top causes of CHE in the rural elderly. Adequate hospital beds (P < 0.05) and reasonable utilization and distribution of town-level (P < 0.001) and county-level hospitals (P < 0.001) may help reduce medical expenditures.Conclusions: 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.
format	article
author	Xuwei Tang Xiaoxu Xie Zhixiang Rao Zhenquan Zheng Chanchan Hu Shanshan Li Zhijian Hu
author_facet	Xuwei Tang Xiaoxu Xie Zhixiang Rao Zhenquan Zheng Chanchan Hu Shanshan Li Zhijian Hu
author_sort	Xuwei Tang
title	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
title_short	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
title_full	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
title_fullStr	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
title_full_unstemmed	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
title_sort	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
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/e1b7bae22c54493bbedd52c4dfd4a64e
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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

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