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Table 4 Negative binomial regression results on the use of outpatient services in the past 2 weeks

From: The role of parental health care utilization in children’s unnecessary utilization in China: evidence from Shaanxi province

 

Number of children’s outpatient visit in the last 2 weeks (marginal effect reported)

 

(1) Full sample

(2) Age 0–5

(3) Age 6–11

(4) Age 12–18

 

dy/dx

S.E.

95% CI

dy/dx

S.E.

95% CI

dy/dx

S.E.

95% CI

dy/dx

S.E.

95% CI

Parents had outpatient visit

0.0393a

0.0106

0.0186

0.0600

0.0980a

0.0306

0.0381

0.1579

0.0170

0.0146

−0.0117

0.0457

0.0179c

0.0107

−0.0031

0.0390

Per capita household expense

 Poor

−0.0010

0.0036

−0.0080

0.0061

0.0057

0.0099

−0.0138

0.0251

0.0007

0.0061

−0.0113

0.0127

−0.0051c

0.0031

−0.0111

0.0008

 Average

−0.0023

0.0036

−0.0094

0.0048

−0.0048

0.0091

−0.0228

0.0131

0.0003

0.0065

−0.0124

0.0129

−0.0031

0.0038

−0.0106

0.0044

 Rich

−0.0016

0.0036

−0.0087

0.0055

0.0040

0.0107

−0.0170

0.0251

−0.0079

0.0053

−0.0183

0.0025

−0.0024

0.0037

−0.0096

0.0048

 Richest

−0.0002

0.0039

−0.0078

0.0075

0.0111

0.0118

−0.0119

0.0342

−0.0086

0.0062

−0.0207

0.0034

0.0008

0.0044

−0.0078

0.0094

Children had insurance

0.0005

0.0040

−0.0074

0.0084

0.0000

0.0098

−0.0191

0.0192

−0.0090

0.0116

−0.0318

0.0137

0.0174a

0.0025

0.0125

0.0224

Children’s days of illness

0.0133a

0.0008

0.0118

0.0147

0.0241a

0.0013

0.0216

0.0267

0.0122a

0.0013

0.0096

0.0148

0.0045a

0.0005

0.0035

0.0055

Children’s height (ln)

0.0034

0.0074

−0.0110

0.0179

0.0128

0.0163

−0.0191

0.0447

−0.0156

0.0175

−0.0498

0.0187

0.0047

0.0142

−0.0231

0.0326

Children’s weight (ln)

−0.0010

0.0039

−0.0086

0.0066

−0.0053

0.0083

−0.0215

0.0109

0.0108

0.0087

−0.0062

0.0279

−0.0051

0.0072

−0.0191

0.0090

Prenatal days of illness

−0.0013b

0.0005

−0.0023

−0.0002

−0.0033b

0.0015

−0.0062

−0.0004

−0.0001

0.0008

−0.0016

0.0014

−0.0009c

0.0005

−0.0018

0.0000

Parental age

0.0001

0.0001

−0.0001

0.0002

0.0003

0.0002

−0.0001

0.0006

−0.0001

0.0002

−0.0004

0.0003

0.0001

0.0002

−0.0002

0.0004

Children’s age

 3-5

−0.0051c

0.0030

−0.0110

0.0008

−0.0126c

0.0073

−0.0269

0.0017

        

 6-8

−0.0074c

0.0040

−0.0152

0.0005

            

 9-11

−0.0161a

0.0039

−0.0237

−0.0085

    

−0.0100b

0.0048

−0.0194

−0.0007

    

 12-14

−0.0154a

0.0043

−0.0238

−0.0069

            

 15-18

−0.0239a

0.0048

−0.0333

−0.0145

        

−0.0078b

0.0036

−0.0148

−0.0007

Gender was male

−0.0031

0.0023

−0.0075

0.0014

−0.0095c

0.0056

−0.0206

0.0015

0.0025

0.0041

−0.0055

0.0106

−0.0036

0.0026

−0.0086

0.0015

Ethnicity was Han

−0.0004

0.0099

−0.0198

0.0191

0.0022

0.0275

−0.0517

0.0560

0.0023

0.0170

−0.0310

0.0357

0.0005

0.0105

−0.0200

0.0210

Urban

0.0095a

0.0028

0.0039

0.0150

0.0113 c

0.0067

−0.0018

0.0244

0.0190a

0.0063

0.0067

0.0314

−0.0017

0.0029

−0.0074

0.0041

Region

 Guanzhong

−0.0006

0.0026

−0.0056

0.0044

−0.0011

0.0061

−0.0131

0.0109

−0.0015

0.0045

−0.0104

0.0073

0.0023

0.0030

−0.0036

0.0083

 Shanbei

−0.0033

0.0030

−0.0092

0.0026

−0.0117

0.0079

−0.0272

0.0038

0.0012

0.0057

−0.0100

0.0124

−0.0037

0.0039

−0.0113

0.0039

Family size

0.0022b

0.0011

0.0001

0.0042

0.0047c

0.0026

−0.0004

0.0099

0.0012

0.0017

−0.0022

0.0046

0.0014

0.0012

−0.0010

0.0038

No. of obs.

10,596

3,732

3,077

3,787

  1. Note: aStatistically significant at the 1% level, bstatistically significant at the 5% level, cstatistically significant at the 10% level; S.E. robust standard errors; marginal effects instead of the original coefficients are reported to show the marginal change of the dependent variable given a one unit change in an explanatory variable. The reference groups were: “the poorest” for “per capita household expense”; “no” for “children had insurance”; “0-2” for “children’s age”; “female” for “gender was male”; “others” for “ethnicity was Han”; “rural” for “urban”; “Shannan” for “region”