| Du Xiang,Xu Xiaosan,Yang Chunyong,et al.Equity evaluation for distribution of radiodiagnostic equipment in China[J].Chinese Journal of Radiological Medicine and Protection,2024,44(9):776-782 |
| Equity evaluation for distribution of radiodiagnostic equipment in China |
| Received:October 20, 2023 |
| DOI：10.3760/cma.j.cn112271-20231020-00129 |
| KeyWords:Computed Tomography Radio-diagnosis Equity Gini coefficient Theil index |
| FundProject:江苏省预防医学科研课题(Y2018082);江苏省医学重点学科(ZDXK202249) |
| Author Name | Affiliation | E-mail | | Du Xiang | Department of Radiation Protection, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | | Xu Xiaosan | Department of Radiation Protection, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | | Yang Chunyong | Department of Radiation Protection, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | | Li Shengri | Department of Radiation Protection, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | | | Wang Jin | Department of Radiation Protection, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China | jinwang@jscdc.cn |
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| Abstract:: |
| Objective To assess the the equity of geographical distribution of radiodiagnostic institutions and their equipment in China and analyze the correlation between number of CT scanners, health and ecinomicindices. Methods The data used in the present study came from previous researches from 2017 to 2019 and China Statistical Yearbook. Data on population distribution, GDP and GDP per caput of various provinces were collected and the correlation analysis was utilized to ascertain the factors that could affect the distribution of CT scanners. Linear regression was performed between number of CT scanners and GDP. And then the Gini coefficient and Theil index for CT and other types of equipment were calculated. Results The number of the CT scanners has a positive correlation with GDP (r=0.82, P=＜0.01), and the population density does not have a correlation with GDP per caput (P>0.01). The Gini coefficitents for radiodiagnostic equipment allocation are 0.101 to 0.304 in terms of population distribution and from 0.648 to 0.728, by geographical area. The contribution rate of introregional distribution of resources by Theil index is from 70.3% to 88.5%. Conclusions The correlation between CT number and GDP is mainly associated with population distribution. The radiodiagnostic equipment allocation in terms of population dimension was relatively equitable. However, the distribution by geographic dimension was inequitable. The result for Theil index have shown that inequality mainly comes from intraregional differences. The geographic factors should be considered before medical radiodiagnostic resources were distributed to ensure the equity of the medical resource distribution. |
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