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Table 1 Basic characteristics of patient mobility for CKD. Detailed definitions of variables were provided in Additional file 1: Table S2

From: Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data

 

All

Within-province

Cross-province

Missing

P*

Number of city-level paths of mobility

7441

1990 (26.7%)

5451 (73.3%)

  

Number of cross-city hospitalizations (total)

1 332 189

1 027 238 (77.1%)

304 951 (22.9%)

  

Number of cross-city hospitalizations (median [interquartile range])

16.0 [9.0–44.0]

30.0 [12.0–172.75]

13.0 [8.0–30.0]

  

Source city

 Number of nephrologists (pmp)

14.1 ± 16.8

9.4 ± 11.5

15.7 ± 18.1

686

0.026

 Proportion of nephrologists per thousand physicians

4.2 ± 2.9

3.4 ± 2.4

4.5 ± 3.0

686

0.101

 UBMI coverage proportion (%)

37.2 ± 51.9

26.9 ± 34.8

40.8 ± 56.1

686

0.216

 Number of hospital beds (pmp)

5231.5 ± 2077.5

4755.9 ± 1760.4

5396.7 ± 2152.5

686

0.005

 Number of physicians (pmp)

2690.0 ± 1517.9

2302.6 ± 1123.3

2824.6 ± 1611.2

686

0.007

 Traffic eigenvector centrality

2.1 ± 2.4

1.7 ± 2.1

2.3 ± 2.5

59

0.924

 Average annual population (million)

5.9 ± 4.6

4.9 ± 2.6

6.2 ± 5.1

686

0.292

 GDP per capita (¥1000)

61.9 ± 42.6

53.9 ± 36.2

64.7 ± 44.3

686

0.302

Destination city

 Number of nephrologists (pmp)

22.8 ± 19.2

12.4 ± 13.8

26.4 ± 19.5

307

 < 0.001

 Proportion of nephrologists per thousand physicians

6.0 ± 3.2

4.1 ± 2.5

6.7 ± 3.1

307

 < 0.001

 Number of hospital beds (pmp)

6220.6 ± 2190.0

5218.7 ± 1986.9

6563.7 ± 2150.8

307

 < 0.001

 Number of physicians (pmp)

3275.0 ± 1614.4

2561.0 ± 1333.9

3519.5 ± 1629.5

307

 < 0.001

 Traffic eigenvector centrality

2.9 ± 2.8

1.7 ± 2.2

3.3 ± 2.8

22

 < 0.001

 Average annual population (million)

7.3 ± 5.1

5.1 ± 2.6

8.1 ± 5.5

307

 < 0.001

 GDP per capita (¥1000)

76.6 ± 42.8

58.7 ± 38.1

82.7 ± 42.7

307

 < 0.001

Between cities

 Highway distance (km)

998.7 ± 816.9

315.1 ± 243.0

1249.5 ± 810.0

577

 < 0.001

  1. The number of missing values out of the 7441 instances, namely, city-level paths
  2. *P values of Spearman’s Rank Correlation Test with the number of cross-city hospitalizations