Table 4 Estimation of the regression coefficients
From: Determinants of new drugs prescription in the Swiss healthcare market
Variable | Coefficient | Standard deviation | P-value | 95% credible interval |
|---|---|---|---|---|
Prescription-level | ||||
Constant | 2.878 | 0.060 | 0.000 | 2.766; 2.989 |
Rx | −0.656 | 0.004 | 0.000 | −0.663; −0.649 |
Generic drug | −0.870 | 0.003 | 0.000 | −0.876; −0.865 |
Market-level | ||||
Number of insured | −2.68e-06 | 1.05e-06 | 0.002 | −4.92e-06; −6.55e-07 |
Yearly treatment cost | −0.0002 | 0.00003 | 0.000 | −0.000202; −0.000096 |
HHI | 0.572 | 0.089 | 0.000 | 0.418; 0.753 |
Number of drugs | −0.0035 | 0.0008 | 0.000 | −0.005; −0.002 |
Number of active substances | −0.045 | 0.012 | 0.000 | −0.068; −0.023 |
Patient-level | ||||
Age = 0-19 | −0.043 | 0.004 | 0.000 | −0.050; −0.035 |
Age = 20-39 | 0.005 | 0.003 | 0.045 | −0.001; 0.011 |
Age = 40-59 (reference) | – | – | – | – |
Age = 60-79 | 0.014 | 0.003 | 0.000 | 0.008; 0.019 |
Age = 80+ | 0.016 | 0.004 | 0.000 | 0.008; 0.024 |
Male | −0.006 | 0.002 | 0.002 | −0.010; −0.002 |
Deductible >400 CHF | 0.009 | 0.002 | 0.000 | 0.004; 0.014 |
Co-morbidity index | −0.0001 | 0.0003 | 0.345 | −0.0006; 0.0004 |
Physician-level | ||||
General Practitioner (ref.) | – | – | – | – |
Independent Specialist | 0.034 | 0.004 | 0.000 | 0.027; 0.042 |
Hospital | 0.039 | 0.010 | 0.000 | 0.021, 0.057 |
Region-level | ||||
Aarau (reference) | – | – | – | – |
Basel-Stadt | −0.006 | 0.008 | 0.251 | −0.022; 0.011 |
Fribourg | 0.045 | 0.008 | 0.000 | 0.030; 0.060 |
Geneva | 0.015 | 0.006 | 0.010 | 0.002; 0.027 |
Jura | 0.091 | 0.016 | 0.000 | 0.058; 0.123 |
Neuchâtel | −0.011 | 0.009 | 0.089 | −0.028; 0.005 |
Ticino | 0.078 | 0.008 | 0.000 | 0.063; 0.093 |
Vaud | 0.021 | 0.006 | 0.000 | 0.008; 0.033 |
Valais | 0.055 | 0.008 | 0.000 | 0.040; 0.070 |