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Table 3 GEE regression analysis of physician density, 2003–2013

From: Physician distribution across China’s cities: regional variations

Characteristic

Model 1

OR (95% CI)

Model 2

OR (95% CI)

Intercept2

0.01 (0.01 to 0.03) ***

0.02 (0.01 to 0.04) ***

Intercept1

0.17 (0.07 to 0.38) ***

0.21 (0.09 to 0.48) ***

Year 2013 (vs. year 2003)

0.49 (0.34 to 0.72) ***

0.50 (0.33 to 0.75) ***

Urban district (vs. county-level city)

2.62 (1.84 to 3.73) ***

 

Geographic location

 Eastern (vs. Western)

0.52 (0.36 to 0.77) **

 

 Northeastern (vs. Western)

0.73 (0.45 to 1.21)

 

 Central (vs. Western)

0.65 (0.44 to 0.95) *

 

Geographic location & Administrative level

 County-level city x Western

   

Ref.

 Urban district x Eastern

   

1.49 (0.81 to 2.74)

 County-level city x Eastern

   

0.32 (0.20 to 0.52) ***

 Urban district x Northeastern

   

1.09 (0.49 to 2.38)

 County-level city x Northeastern

   

0.62 (0.33 to1.15)

 Urban district x Central

   

1.47 (0.80 to 2.71)

 County-level city x Central

   

0.42 (0.25 to 0.70) ***

 Urban district x Western

   

1.53 (0.93 to2.52)

U.A. (vs. non-U.A.)

0.87 (0.51 to 1.49)

0.75 (0.44 to 1.29)

High school education or above (%)

1.21 (1.17 to 1.25) ***

1.21 (1.17 to 1.25) ***

GDP per capita (10,000 CNY)

1.15 (0.83 to 1.59)

1.02 (0.96 to 1.08)

Population density (/1000 km2)

0.99 (0.78 to 1.25)

0.96 (0.76 to 1.22)

Female-to-male ratio (in a unit of 10%)

0.84 (0.70 to 0.99) *

0.86 (0.73 to 1.01)

Migrant (in a unit of 10%)

1.08 (0.91 to 1.28)

1.07 (0.90 to 1.26)

Minority (in a unit of 10%)

1.02 (0.93 to 1.12)

0.99 (0.91 to 1.09)

Aged under 15 (in a unit of 10%)

0.93 (0.81 to 1.07)

0.94 (0.83 to 1.07)

Aged over 65 (in a unit of 10%)

1.57 (0.66 to 3.72)

1.78 (0.70 to 4.54)

  1. Note: *** P < .001; ** P < .01; * P < .05. U.A. represents urban agglomeration. County-level city x Western represents county-level cities in Western China. GDP was adjusted by Consumer Price Index