1.Gray correlation analysis of factors affecting per capita current health expenditure in Guizhou province
Yijuan LV ; Hua SHI ; Li YE ; Ke ZHANG ; Xu SU ; Cong WANG ; Qinghua WANG ; Wanju TAO
Modern Hospital 2025;25(1):79-82
Objective This study aims to analyze the factors influencing per capita current health expenditure in Guizhou Province from 2016 to 2022 using the gray correlation analysis method.Methods Based on the"SHA2011"accounting results of current health expenditure in Guizhou Province,as well as data from the"Guizhou Statistical Yearbook"and"Guizhou Health Statistical Yearbook",the gray correlation analysis method was used to analyze the factors influencing per capita current health expenditure in Guizhou Province from 2016 to 2022.Results The factors with the highest correlation to per capita current health expenditure in Guizhou Province were health expenditure(0.829),followed by the number of health technical personnel per thousand people(0.715),the number of practicing(assistant)physicians per thousand people(0.705),and per capita GDP(0.704).The factor with the lowest correlation was the proportion of the tertiary industry to GDP(0.543).Conclusion Health expenditure investment has the strongest correlation with per capita current health expenditure in Guizhou Province.Health re-source investment and health service capacity are the main influencing factors of per capita current health expenditure in Guizhou Province.At the same time,the impact of economic and social factors on current health expenditure should be fully recognized.
2.Gray correlation analysis of factors affecting per capita current health expenditure in Guizhou province
Yijuan LV ; Hua SHI ; Li YE ; Ke ZHANG ; Xu SU ; Cong WANG ; Qinghua WANG ; Wanju TAO
Modern Hospital 2025;25(1):79-82
Objective This study aims to analyze the factors influencing per capita current health expenditure in Guizhou Province from 2016 to 2022 using the gray correlation analysis method.Methods Based on the"SHA2011"accounting results of current health expenditure in Guizhou Province,as well as data from the"Guizhou Statistical Yearbook"and"Guizhou Health Statistical Yearbook",the gray correlation analysis method was used to analyze the factors influencing per capita current health expenditure in Guizhou Province from 2016 to 2022.Results The factors with the highest correlation to per capita current health expenditure in Guizhou Province were health expenditure(0.829),followed by the number of health technical personnel per thousand people(0.715),the number of practicing(assistant)physicians per thousand people(0.705),and per capita GDP(0.704).The factor with the lowest correlation was the proportion of the tertiary industry to GDP(0.543).Conclusion Health expenditure investment has the strongest correlation with per capita current health expenditure in Guizhou Province.Health re-source investment and health service capacity are the main influencing factors of per capita current health expenditure in Guizhou Province.At the same time,the impact of economic and social factors on current health expenditure should be fully recognized.
3.Influencing factors on prevalence rate of drinking-water-borne dental fluorosis based on health economics
Yijuan LYU ; Feiqing WANG ; Wanju TAO ; Cong WANG ; Songhua ZHAO
Chinese Journal of Endemiology 2019;38(9):758-763
Objective Based on health economics,the influencing factors on prevalence rate of drinking-water-borne dental fluorosis were studied.Methods Collect panel data on the prevalence and influencing factors of dental fluorosis in drinking water-type endemic fluorosis (referred to as fluorosis) in 26 provinces (municipalities and autonomous regions) from 2005 to 2015.The theoretical hypothesis model of influencing factors on the prevalence of drinking-water-borne dental fluorosis was constructed from six aspects:economic operation status (electricity consumption),urbanization status (urban population ratio),natural environmental protection (per capita public green space area),urban water supply capacity (urban water population),health expenditure,and fixed assets investment of health institutions.And then Eviews 7.2 was used for panel data regression analysis.Results From 2005 to 2015,the prevalence rate of drinking-water-borne dental fluorosis in China showed a downward trend (r =-0.881,P <0.05).The electricity consumption,urban population ratio,per capita public green space area,urban water population and health expenditure had significant impacts on the prevalence rate of drinking-water-borne dental fluorosis (P < 0.05).In this model,per capita public green space area and urban population ratio had the greatest impacts on the prevalence of drinking-water-borne dental fluorosis (absolute value of the standard coefficient > 1).Then,the absolute value of standard coefficient on urban water population was 0.750,and that of electricity consumption and health expenditure were the lowest (absolute value of the standard coefficient =0.266).Conclusion Favorable natural environment,urbanization,construction of urban water supply facilities,reasonable increase of health expenditure and sustainable development of regional economy are powerful impetus to reduce the prevalence rate of drinking-water-borne dental fluorosis and to promote public health development.

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