Table 1 Regional distribution of healthcare utilization for UEBMI and URBMI stroke inpatients in 2016
From: An equity evaluation in stroke inpatients in regard to medical costs in China: a nationwide study
Region | Provinces | UEBMI | URBMI | ||||
|---|---|---|---|---|---|---|---|
Medical costs (RMB) | OOP expenses (RMB) | ALOS (days) | Medical costs (RMB) | OOP expenses (RMB) | ALOS (days) | ||
East | Beijing | 21,793.1 | 4611.8 | 16.2 | 18,848.4 | 7568.8 | 14.5 |
Tianjin | 15,955.8 | 5439.9 | 12.4 | 10,397.5 | 5558.6 | 10.2 | |
Hebei | 17,740.5 | 4054.9 | 15.8 | 13,863.8 | 5967.1 | 13.5 | |
Liaoning | 11,188.0 | 2395.7 | 12.8 | 8304.6 | 3081.0 | 11.1 | |
Jiangsu | 14,754.0 | 3279.4 | 15.2 | 11,356.7 | 3897.6 | 12.0 | |
Zhejiang | 26,955.3 | 2546.3 | 27.8 | 15,190.4 | 4686.9 | 15.7 | |
Shandong | 11,751.7 | 3201.4 | 15.1 | 8522.1 | 3746.8 | 11.3 | |
Guangdong | 19,946.9 | 4960.5 | 18.7 | 15,452.9 | 11,588.9 | 15.1 | |
Hainan | 13,806.0 | 2224.3 | 13.8 | 11,884.1 | 4397.9 | 12.4 | |
Fujian | 18,506.2 | 4661.9 | 17.9 | 16,138.3 | 7964.8 | 14.9 | |
Shanghai | 17,910.3 | 3602.3 | 26.5 | 16,003.4 | 3901.6 | 33.3 | |
P-value | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
Central | Shanxi | 12,249.3 | 2758.5 | 14.6 | 10,368.9 | 3883.6 | 15.1 |
Jilin | 10,967.3 | 3202.6 | 15.3 | 9030.7 | 4320.0 | 13.4 | |
Hei Longjiang | 10,254.3 | 3099.2 | 12.4 | 9578.2 | 5586.3 | 12.5 | |
Anhui | 11,947.9 | 3136.4 | 13.9 | 11,549.3 | 5595.4 | 13.2 | |
Jiangxi | 13,725.0 | 3057.1 | 16.5 | 12,074.4 | 5401.3 | 13.2 | |
Henan | 10,160.8 | 2279.3 | 14.1 | 7902.8 | 3379.3 | 12.3 | |
Hubei | 9639.3 | 2211.5 | 13.9 | 6117.3 | 2450.1 | 11.4 | |
Hunan | 23,804.2 | 6111.3 | 13.1 | 11,107.8 | 5915.8 | 11.7 | |
P-value | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
West | Inner Mongolia | 17,933.0 | 5075.6 | 15.8 | 19,327.1 | 8833.4 | 13.4 |
Guangxi | 13,733.7 | 2672.8 | 17.2 | 11,339.2 | 4366.5 | 13.7 | |
Chongqing | 14,982.6 | 3975.1 | 15.1 | 8178.7 | 4064.7 | 10.1 | |
Sichuan | 14,861.2 | 3325.2 | 17.8 | 9643.0 | 3742.4 | 12.9 | |
Guizhou | 11,769.3 | 1584.2 | 20.3 | 9825.7 | 4870.6 | 18.7 | |
Yunnan | 12,257.1 | 2217.1 | 16.0 | 8482.5 | 3330.1 | 11.4 | |
Xizang | 17,908.5 | 2059.6 | 15.3 | 27,833.0 | 10,479.3 | 17.6 | |
Shanxi | 14,111.3 | 3914.5 | 13.1 | 10,703.4 | 5725.9 | 10.5 | |
Gansu | 8877.6 | 2069.1 | 13.0 | 10,378.2 | 4996.8 | 12.3 | |
Qinghai | 18,432.0 | 4415.5 | 16.4 | 14,656.0 | 6906.7 | 20.3 | |
Ningxia | 12,412.9 | 3711.1 | 16.0 | 7444.2 | 2559.6 | 12.2 | |
Xinjiang | 7629.2 | 1812.5 | 12.2 | 5776.6 | 2488.3 | 10.4 | |
P-value | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
P-value (between regions) | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |
P-value (between provinces) | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | < 0.001 | |