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Table 3 Logistic regression: relationships between variables and CHE after NCMS reimbursement

From: Financial protection effects of modification of China’s New Cooperative Medical Scheme on rural households with chronic diseases

 

B

S.E.

Wald

df

p-value

Exp (B)

95% C.I. for EXP(B)

        

Lower

Upper

Hubei*

H-income#

  

33.119

4

0.000

   
 

→ Poor

-0.713

0.348

4.207

1

0.040

0.490

0.248

0.969

 

→ Middle

-2.375

0.533

19.865

1

0.000

0.093

0.033

0.264

 

→ Rich

-2.808

0.826

11.566

1

0.001

0.060

0.012

0.304

 

→ Very rich

-7.339

1.628

20.328

1

0.000

0.001

0.000

0.016

 

H-chro

0.850

0.210

16.391

1

0.000

2.339

1.550

3.529

 

Op-OOP

0.015

0.002

58.214

1

0.000

1.015

1.011

1.019

 

Ip-OOP

0.001

0.000

50.431

1

0.000

1.001

1.000

1.001

 

Constant

-2.378

0.266

79.885

1

0.000

0.093

  

Chongqing**

H-income#

  

40.500

4

0.000

   
 

→ Poor

-1.759

0.370

22.546

1

0.000

0.172

0.083

0.356

 

→ Middle

-1.982

0.540

13.486

1

0.000

0.138

0.048

0.397

 

→ Rich

-3.865

1.134

11.618

1

0.001

0.021

0.002

0.194

 

→ Very rich

-7.955

2.148

13.709

1

0.000

0.000

0.000

0.024

 

H-chro

1.138

0.269

17.891

1

0.000

3.120

1.842

5.286

 

Op-OOP

0.012

0.002

42.400

1

0.000

1.012

1.008

1.016

 

Ip-uti

0.942

0.329

8.227

1

0.004

2.566

1.348

4.886

 

Ip-OOP

0.000

0.000

13.304

1

0.000

1.000

1.000

1.001

 

Constant

-2.300

0.322

51.045

1

0.000

0.100

  

Zhejiang***

H-size

-0.415

0.169

6.023

1

0.014

0.660

0.474

0.920

 

H-income#

  

11.202

4

0.024

   
 

→ Poor

-0.779

0.659

1.399

1

0.237

0.459

0.126

1.668

 

→ Middle

-1.185

0.759

2.438

1

0.118

0.306

0.069

1.353

 

→ Rich

-2.355

0.918

6.577

1

0.010

0.095

0.016

0.574

 

→ Very rich

-3.126

1.075

8.456

1

0.004

0.044

0.005

0.361

 

H-chro

1.282

0.307

17.425

1

0.000

3.603

1.974

6.578

 

Op-OOP

0.009

0.001

37.985

1

0.000

1.009

1.006

1.012

 

Ip-uti

1.711

0.488

12.298

1

0.000

5.532

2.127

14.390

 

Ip-OOP

0.000

0.000

7.753

1

0.005

1.000

1.000

1.000

 

Constant

-1.982

0.545

13.211

1

0.000

0.138

  
  1. * -2 Log likelihood is 307.754, Cox & Snell R Square is 0.529, and Nagelkerke R Square is 0.745;
  2. **-2 Log likelihood is 260.598, Cox & Snell R Square is 0.473, and Nagelkerke R Square is 0.688;
  3. ***-2 Log likelihood is 142.552, Cox & Snell R Square is 0.437, and Nagelkerke R Square is 0.719;
  4. #Reference group is the very poor quintile.