Analysis of the Spatial Autocorrelation of Large Medical Equipment Allocation and Its Influencing Factors in China

Fan Wenjie; Shi Liwei; Xia Yi; Yan Xiaojie; Zhao Xingcun; Xiao Yue

Abstract：Objective To study the spatial correlation characteristics of the number of large medical equipment alloca-tion in China's provinces and cities,with a view to providing a reference basis for the optimization of the allocation of large medical equipment.Methods It analyzed the spatial autocorrelation of China's large medical equipment alloca-tion and its influencing factors by using the Moran's I,grey correlation and other methods.Results The results of the spatial autocorrelation analysis showed that the allocation of large medical equipment in China was positively corre-lated spatially,and the spatial agglomeration was significant(Global Moran's I index value was 0.392,P＜0.05).The grey correlation of GDP,year-end resident population,geographic area,number of tertiary hospitals,number of beds in medical institutions,number of practicing(assistant)physicians,and annual discharges in each province and city were 0.913,0.919,0.745,0.883,0.907,0.929,0.880,respectively.Conclusion China's large-scale medi-cal equipment configuration of spatial autocorrelation properties,distributed in the eastern Beijing-Tianjin-Hebei,Yangtze River Delta region and some provinces and cities in the west of the large-scale medical equipment configura-tion level in the formation of high-value agglomeration and low-value agglomeration area respectively.At the same time,the equipment configuration has the characteristics of high-quality medical resources concentration,oriented to the needs of the masses,taking into account economic and social development,etc.It is recommended to fur-ther optimise the spatial structure of equipment allocation,incorporate the configuration of large-scale medical equip-ment into the consideration of regional health resource planning at all levels,and enhance the linkage of the equip-ment configuration planning between provinces and cities.