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Table 5 Estimates of effects of health system indicators on MMR by 2-level Poisson models

From: Disparities in health system input between minority and non-minority counties and their effects on maternal mortality in Sichuan province of western China

Indicators

Model 1

β(SE)

Model 2 β(SE)

Model 3 β(SE)

Model 4

β(SE)

Model 5

β(SE)

Model 6

β(SE)

Model 7

β(SE)

Model 8

β(SE)

Time for change

−0.112

(0.008)**

−0.062

(0.010)**

−0.101

(0.008)**

−0.109

(0.008)**

−0.112

(0.007)**

−0.036

(0.014)*

−0.112

(0.001)*

−0.045

(0.015)**

Minority

0.780

(0.103)**

0.199

(0.118)

0.431

(0.114)**

0.665

(0.103)**

0.582

(0.108)**

0.614

(0.097)**

0.592

(0.119)

0.019

(0.121)

County variance

0.199

(0.042)**

0.105

(0.030)**

0.135

(0.034)**

0.169

(0.039)**

0.159

(0.037)**

0.134

(0.034)**

0.178

(0.040)*

0.067

(0.025)*

RHD

 

−0.017

(0.002)**

     

−0.008

(0.003)*

PCR

  

−0.014

(0.002)**

    

−0.007

(0.003)*

DRD

   

−0.096

(0.028)**

   

−0.050

(0.025)*

NHI

    

0.417

(0.098)**

  

0.315

(0.097)**

PGDP

     

−0.486

(0.079)**

 

−0.227

(0.091)*

ATH

     

0.056

(0.002)**

0.001

(0.002)

Change rate explained %

44.6

9.8

2.7

0.0

67.9

0.0

59.8

Ethnic different explained %

74.5

44.7

14.7

25.4

21.3

24.1

97.6

County variance explained %

47.2

32.2

15.1

20.1

32.7

10.6

66.3

  1. RHD: percentage of pregnant women who delivered in hospitals; PCR: prenatal care rate; DRD: number of registered (including assistant) doctors per 1000 population per square km; NHI: number of health institutes per 1000 population; PGDP: the ln(GDP per capita); ATH: the average travelling time to the nearest hospital. *P < 0.05, **P < 0.001