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Table 1 Descriptive Statistics of Main Variables by Types of Health Insurance Schemes

From: Does integrated medical insurance system alleviate the difficulty of using cross-region health care for the Migrant Parents in China-- evidence from the China migrants dynamic survey

Variable

Non-IMISs

IMISs

NCMSs

URBMIs

Mean

Std. Dev.

Mean

Std. Dev.

Mean

Std. Dev.

Mean

Std. Dev.

hospitalized in the past year (inpa)

0.080

0.272

0.096

0.295

0.082

0.275

0.069

0.254**

hospitalized locally in the past year (local_inpa)

0.058**

0.234

0.081

0.274

0.059**

0.235

0.056

0.231**

see a doctor locally with less serious diseases (less_serious_doctor)

0.451

0.498

0.459

0.499

0.447

0.497

0.475

0.500

the need of hospitalization (need_inpa)

0.098

0.298

0.108

0.311

0.100

0.300

0.089

0.285

self-reported health status

3.313

0.722

3.355

0.718

3.306*

0.725

3.356

0.703

hypertension or diabetes (1 = have, 0 = no)

0.217

0.412

0.211

0.408

0.212

0.408

0.250

0.433*

age

66.544

6.140

66.690

6.293

66.491

6.152

66.861

6.058

gender (1 = male, 0 = female)

0.512

0.500

0.506

0.500

0.518

0.500

0.469

0.499

marriage (1 = yes, 0 = no)

0.794**

0.405

0.827

0.379

0.784**

0.412

0.850

0.357

ethnic (1 = han, 0 = minority)

0.901***

0.298

0.943

0.232

0.898***

0.302

0.918

0.274*

hukou (1 = rural, 0 = urban)

0.852***

0.355

0.569

0.496

0.951***

0.216

0.256

0.436***

household incomes per capita per month

1918.866

11,869.640

2091.701

1984.529

1865.950

12,790.580

2238.668

1826.181

household expenditure per capita per month

959.597***

714.009

1109.474

780.363

917.887***

677.181

1211.721

863.547**

household food expenditure per capita per month

423.231***

281.020

496.829

342.393

404.087***

265.220

539.101

340.100**

household house expenditure per capita per month

179.260***

298.014

231.996

290.534

173.898***

280.378

211.512

386.469

Number of friends in residence

7.486***

9.401

8.562

8.884

7.170***

8.951

9.390

11.585

years since migration

6.674***

6.704

5.380

5.206

6.532***

6.505

7.523

7.747***

fitness_time per day (min)

62.302***

45.562

73.432

48.234

60.413***

45.259

73.694

45.732

Health examination in the past one year

0.315***

0.465

0.447

0.498

0.301***

0.459

0.400

0.490*

Main source of income

 Self-employment(1 = yes, 0 = no)

0.279***

0.448

0.232

0.422

0.296***

0.456

0.176

0.381***

 Pension and Savings(1 = yes, 0 = no)

0.216***

0.412

0.387

0.487

0.158***

0.364

0.569

0.495***

 Support from other family numbers(1 = yes, 0 = no)

0.428***

0.495

0.312

0.464

0.466***

0.499

0.198

0.399***

 Others(1 = yes, 0 = no)

0.077

0.266

0.069

0.254

0.080

0.272

0.056

0.231

 N

7250

 

664

 

6222

 

1029

 
  1. Note: * p < 0.1, ** p < 0.05, *** p < 0.01, representing statistical significance compared with IMISs. Non-IMISs, IMISs, NCMSs, URBMIs represent Migrants Parents who have not joined IMIS and who joined IMIS, NCMS and URBMI, while Non-IMISs is the combination of NCMSs and URBMIs. Self-reported health status include no self-care ability, poor but with self-care ability, fair and good, ranked from 1 to 4; Education includes no formal education, elementary school, middle school, high school/vocational school, and college and above, ranked from 1 to 5. Self-reported health status is shown as continuous variable in this table. The main results are robust when considering health status as dummy or continuous variable in the following regressions
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BMC Health Services Research

ISSN: 1472-6963

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