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Table 4 Confirmatory factor analysis results of patient satisfaction model

From: Does descending health resources reform impact patient low-level hospital selection behavior? Evidence from Zhejiang, China

Number

Relationship

Factor loading coefficient

standard deviation

C.R. value

P values

1

Reform satisfaction←Satisfaction

1.000

2

LLH satisfaction←Satisfaction

0.607

0.027

22.134

* * *

3

Convenience←Perceived quality

1.000

4

Environment←Perceived quality

1.004

0.066

15.197

* * *

5

Accessibility←Patient expectation

1.000

6

Capability←Patient expectation

1.285

0.090

14.200

* * *

7

Medical cost←Patient expectation

1.102

0.077

14.375

* * *

8

Trust←Hospital image

1.000

9

Awareness for high-level hospital←Hospital image

2.295

0.116

19.748

* * *

10

Awareness for descending doctors←Hospital image

2.444

0.125

19.536

* * *

11

Reform awareness← Reform policy

1.000

12

Information channel←Reform policy

0.228

0.023

9.728

* * *

13

Medical service price←Reform policy

1.039

0.060

17.257

* * *

14

Insurance imbursement←Reform policy

1.114

0.065

17.254

* * *

15

Tiered medical service←Reform policy

0.933

0.057

16.326

* * *

16

Gender←Socio-demographis

1.000

17

Age←Socio-demographis

16.821

6.333

2.656

0.008

18

Education level←Socio-demographis

13.768

4.853

2.837

0.005

  1. Note: *** indicates significance level of α =1%