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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