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Table 4 The impacts of competition on the odds of having follow-up encounters at the same hospital outpatient department

From: Does hospital competition improve the quality of outpatient care? - empirical evidence from a quasi-experiment in a Chinese city

 

OLS

IV

 

Estimate

SE

P-value

Sig.

Estimate

SE

P-value

Sig.

Intercept

-9.899

0.416

< 0.001

***

10.168

0.399

< 0.001

***

Log(HHI)

0.184

0.035

< 0.001

***

0.092

0.025

< 0.001

***

Log(age)

-0.045

0.095

0.634

 

-0.049

0.097

0.61

 

Gender_female

        

Gender_male

0.035

0.045

0.436

 

0.039

0.045

0.388

 

Insurance_working employees

        

 Insurance_working residents

-23.251

0.16

< 0.001

***

-23.627

0.167

< 0.001

***

 Insurance_non-working residents

-24.671

0.235

< 0.001

***

-24.69

0.233

< 0.001

***

 Insurance_non-working employees

-21.029

0.084

< 0.001

***

-20.935

0.084

< 0.001

***

Comorbidity_no

        

Comorbidity_yes

-0.144

0.039

< 0.001

***

-0.12

0.039

0.002

**

Class_non-accredited

        

 Class_first

21.397

0.218

< 0.001

***

1.149

0.164

< 0.001

***

 Class_second

21.638

0.221

< 0.001

***

1.407

0.165

< 0.001

***

 Class_third

21.312

0.535

< 0.001

***

1.03

0.514

0.045

*

Random intercepts

    Time

Yes

    Hospital

Yes

    Individual

Yes

  1. SE represents the standard error; Sig. represents the significance codes: < 0.001 ***, < 0.01**, < 0.05 *, < 0.01