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Table 3 Regression analysis with quality management system index as dependent variable (N = 109)

From: Social determinants of the impact of hospital management boards on quality management: a study of 109 European hospitals using a parsonian approach

 

Regression coefficient

p-value

CI (95%)

Regression coefficient

p-value

CI (95%)

 

Step 1: Restricted model

Step 2: Full model

(Constant)

20.8

0.000

16.3; 25.2

20.6

0.000

16.3; 25.0

Control variables

 

Czech Republic (1)

1.7

0.38

-2.1; 5.6

0.7

0.70

-3.1; 4.5

France (1)

-1.1

0.61

-5.5; 3.2

-2.0

0.36

-6.3; 2.3

Poland (1)

2.6

0.33

-2.6; 7.7

1.7

0.52

-3.5; 6.8

Portugal (1)

-1.0

0.63

-5.2; 3.1

-1.9

0.37

-6.0; 2.2

Spain (1)

-2.3

0.34

-7.1; 2.5

-3.3

0.16

-8.1; 1.4

Turkey (1)

4.2

0.08

-0.5; 8.9

2.3

0.35

-2.5; 7.1

Number of board members

-0,03

0.84

-0.3; 0.3

-0.014

0.92

-0.3; 0.3

Number of beds between 200 and 500 (2)

-1.0

0.54

-4.2; 2.2

-2.2

0.19

-5.4; 1.1

Number of beds between 501 and 1000 (2)

-0.5

0.79

-3.9; 3.0

-1.5

0.40

-4.9; 2.0

Number of beds more than 1000 (2)

-0.8

0.69

-4.7; 3.1

-1.5

0.44

-5.4; 2.4

Teaching Hospital

-1.8

0.29

-5.3; 1.6

-1.8

0.29

-5.2; 1.5

Public Hospital

-0.2

0.88

-3.0; 2.6

0.6

0.68

-2.2; 3.3

GI Index

 

GI index: middle (3)

   

1.6

0.08

-0.2; 3.4

GI index: high (3)

   

3.3

0.007

0.9; 5.7

ΔR2

0.276

0.001

 

0.057

0.022

 

R2

0.276

0.001

 

0.333

0.000

 
  1. (1) Dummy variable: reference category: Germany
  2. (2) Dummy variable: reference category: number of beds lower than 200
  3. (3) Dummy variable: reference category: GI index = low