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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