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Table 5 Multivariate analysis of determinants of managers’ support for physician dual practice by generalised linear mixed model (n = 1513)

From: Effect of public hospital managers’ risk and gain perception on their attitude towards physician dual practice: a cross-national study in 31 provinces of China

Variables

Model 1

Model 2

Model 3

OR

95% CI

P

OR

95% CI

P

OR

95% CI

P

Lower

Upper

Lower

Upper

Lower

Upper

Risk perception

0.94

0.92

0.96

< 0.001

0.94

0.92

0.96

< 0.001

0.95

0.93

0.97

< 0.001

Gain perception

1.17

1.12

1.23

< 0.001

1.18

1.12

1.23

< 0.001

1.18

1.12

1.24

< 0.001

Demographic characteristics

 Sex

  Male

1.00

   

1.00

   

1.00

   

  Female

1.40

0.85

2.32

0.187

1.59

0.88

2.86

0.122

1.69

0.91

3.15

0.098

 Age (years)

   ≤ 40

1.00

   

1.00

   

1.00

   

  41–50

0.48

0.24

0.96

0.038

0.41

0.17

0.97

0.042

0.44

0.18

1.09

0.076

   ≥ 51

0.47

0.22

1.01

0.052

0.42

0.16

1.11

0.081

0.42

0.15

1.17

0.098

 Education

  PhD

1.00

   

1.00

   

1.00

   

  Master

0.83

0.24

2.86

0.769

1.26

0.34

4.64

0.726

1.70

0.44

6.56

0.444

  Bachelor

0.83

0.26

2.65

0.757

1.17

0.35

3.95

0.801

1.33

0.37

4.78

0.659

  Others

0.78

0.17

3.53

0.748

1.39

0.23

8.33

0.721

1.65

0.25

10.83

0.602

Work characteristics

 Major

  Others

    

1.00

   

1.00

   

  Medicine

    

0.68

0.38

1.22

0.196

0.66

0.35

1.22

0.186

 Length of service (years)

   ≤ 5

    

1.00

   

1.00

   

  6–10

    

1.17

0.57

2.42

0.662

1.54

0.71

3.37

0.276

   ≥ 11

    

0.89

0.46

1.74

0.743

1.10

0.52

2.35

0.799

 Level of manager’s position

   ≤ Deputy division

    

1.00

   

1.00

   

   ≥ County level

    

1.72

0.88

3.39

0.115

1.58

0.78

3.21

0.207

Working environment characteristics

 Institutional category

  Others

        

1.00

   

  General hospital

        

0.87

0.47

1.59

0.647

 Institutional level

   < tertiary level

        

1.00

   

  tertiary level

        

1.32

0.31

5.67

0.705

 Institutional territory

  East

        

1.00

   

  Middle

        

0.65

0.26

1.63

0.357

  West

        

0.69

0.26

1.79

0.440

 Location

  Provincial capital city

        

1.00

   

  Non-provincial capital city

        

1.12

0.57

2.20

0.733

  1. Model 1 included the demographical determinants of managers’ sex, age, education. Model 2 included determinants in model 1 plus managers’ major, length of service, level of managers’ position. Model 3 included determinants in model 1 and model 2 plus work environment determinants including managers’ institutional category, institutional level, institutional territory and location