Skip to main content

Table 5 Results of the negative binomial regression model

From: Challenges for the surgical capacity building of township hospitals among the Central China: a retrospective study

Independent variable

Random effect model

IRR (95% CI)

P

Income

 

0.897 (0.853, 0.943)

< 0.001

Costgap

 

1.000 (1.000, 1.000)

0.671

Size

street THs#

  

ordinary THs

0.527 (0.211, 1.316)

0.170

central THs

0.664 (0.256, 1.727)

0.401

IDNs

No#

  

Tight

0.484 (0.290, 0.810)

0.006

Loose

1.011 (0.672, 1.522)

0.956

Merged

0.881 (0.319, 2.433)

0.807

PRP

No#

  

Yes

2.305 (1.570, 3.384)

< 0.001

Payment

SDAQ#

  

SDLQ

0.868 (0.731, 1.031)

0.106

FFS

0.939 (0.638, 1.382)

0.749

Constant

23.364 (7.920, 68.921)

Log likelihood

− 875.77356

Wald chi2(9)

82.57

Prob>chi2

< 0.001

  1. Note: IRR incidence rate ratio, SDAQ single-disease with abundant quota, SDLQ single-disease with limited quota, #, reference group. According to the Hausman test (chi2(8) =5.00, Prob>chi2 = 0.757), we use the random effect model