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Table 3 Average marginal effects (logistic regression - Model C)

From: Determinants of generic drug substitution in Switzerland

  Marginal effect 95%CI
CANTON   
   Aargau (reference)   
   Vaud -0.040 [-0.045 -0.034]
   Ticino -0.260 [-0.265 -0.255]
PATIENTS' VARIABLES Female 0.003 [-0.001 0.007]
Age:   
   0-19 0.031 [0.022 0.040]
   20-39 0.035 [0.028 0.041]
   40-59 0.016 [0.011 0.022]
   60-79 (reference)   
   80+ -0.005 [-0.013 0.002]
Optional health insurance deductible 0.007 [0.003 0.012]
Out-of-pocket participation 0.023 [0.018 0.028]
Treatment complexity:   
   1-5 drugs 0.014 [0.009 0.020]
   6-10 drugs (reference)   
   11-15 drugs -0.009 [-0.015 -0.004]
   16-20 drugs -0.017 [-0.024 -0.010]
   21+ drugs -0.029 [-0.037 -0.021]
PHYSICIANS' VARIABLES Specialist prescriber -0.032 [-0.037 -0.027]
Hospital prescriber -0.131 [-0.137 -0.125]
SUBSTITUTION GROUPS' VARIABLES Number of generics:   
   1-2 (reference)   
   3-4 0.083 [0.075 0.090]
   5-6 0.125 [0.118 0.133]
   7+ 0.085 [0.076 0.095]
Number of treated patients:   
   1-1000 (reference)   
   1001-2000 0.018 [0.012 0.025]
   2001-3000 0.071 [0.060 0.082]
   3001+ 0.002 [-0.006 0.010]
Price of brand medication:   
   1st quintile 0.031 [0.023 0.039]
   2nd quintile -0.001 [-0.011 0.009]
   3rd quintile (reference)   
   4th quintile 0.012 [0.004 0.020]
   5th quintile -0.011 [-0.019 -0.002]
Relative price difference:   
   1st quintile -0.050 [-0.058 -0.042]
   2nd quintile -0.028 [-0.036 -0.020]
   3rd quintile (reference)   
   4th quintile 0.004 [-0.004 0.013]
   5th quintile 0.038 [0.028 0.048]
Original with special galenic form -0.077 [-0.088 -0.066]
At least one drug sold under license -0.051 [-0.058 -0.043]
Multiple package sizes -0.039 [-0.045 -0.032]
  1. Notes:
  2. * p < 0.05 ** p < 0.01 *** p < 0.001
  3. The marginal effect for discrete and factor variables is the discrete change from the reference level