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Table 2 Factors influencing catastrophic health expenditure in univariate logistic regression model

From: A comparative study of catastrophic health expenditure in Zhejiang and Qinghai province, China

Variables

Zhejiang

Qinghai

b

S.E.

OR

P-value

b

S.E.

OR

P-value

Household income per year

−0.0001

0.00001

1.000

< 0.000

−0.0002

0.00002

1.000

< 0.000

Household size

−0.263

0.097

0.768

0.007

0.132

0.063

1.141

0.035

Poor/low-insured household

2.449

0.416

11.577

< 0.000

0.588

0.267

1.800

0.028

Rural residency of household head

0.764

0.242

2.147

0.002

0.818

0.181

2.266

< 0.000

Male household head

0.116

0.264

1.122

0.661

0.625

0.212

1.868

0.003

Minority nationalities of household head

0.957

0.660

2.604

0.147

1.115

0.194

3.049

< 0.000

Married household head

−0.575

0.270

0.563

0.034

0.050

0.218

1.051

0.819

Educational status of household head (reference: high/technical school or above)

 Illiteracy

1.491

0.443

4.441

0.001

1.719

0.282

5.577

< 0.000

 Primary school

1.210

0.319

3.353

< 0.000

1.169

0.269

3.218

< 0.000

 Secondary school

0.664

0.336

1.942

0.048

0.405

0.272

1.500

0.136

Employment status of household head (reference: Unemployed)

 Employed

−1.856

0.258

0.156

< 0.000

−0.415

0.215

0.661

0.054

 Retired

−1.085

0.300

0.338

< 0.000

−0.066

0.267

0.936

0.803

Proportion of members with health insurance in household

0.021

0.015

1.022

0.146

0.00005

0.007

1.000

0.994

Number of members over 60 years in household

0.448

0.113

1.565

< 0.000

0.346

0.108

1.414

0.001

Number of members with chronic diseases in household in the last six months

0.907

0.141

2.476

< 0.000

0.749

0.127

2.115

< 0.000

Number of outpatients in household in the last two weeks of the survey

1.086

0.181

2.962

< 0.000

1.016

0.191

2.763

< 0.000

Number of inpatients in household in the last one year of the survey

2.150

0.230

8.588

< 0.000

1.654

0.195

5.227

< 0.000

  1. SE standard error; OR odds ratio
  2. Household size: number of permanent residents in household; Poor/low-insured household: poor or low-insured household identified by the local government; Married: married status in the marriage law