Table 1. Model parameters used to assess the pharmaceutical forecast
France | Germany | Greece | Hungary | Poland | Portugal | United Kingdom | |
---|---|---|---|---|---|---|---|
Brands | |||||||
Time to market after marketing authorization (months) | 12 | 0 | 12 | 12 | 12 | 12 | 12 |
Generics: retail chain | |||||||
Time to market after marketing authorization (days) | 60 | 0 | 270 | 45 | 180 | 150 | 0 |
Price reduction of the generic versus the original branded product (%) | 60 | 55 | 60 | 55 | 45 | 60 | 75 |
Generic penetration (generics and off-patent brands): volume uptake (%) | 80 | 85 | 25 | 100 | 85 | 25 | 80 |
Time to reach maximum of generic penetration (months) | 36 | 12 | 36 | 18 | 24 | 30 | 12 |
Impact of generic entry on brand price (%) | 20 | 0 | 50 | 0 | 25 | 0 | 0 |
Generics and biosimilars: hospital chain | |||||||
Time to market after marketing authorization (days) | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Price reduction of the generic or biosimilar versus the original branded product (%) | 80 | 80 | 80 | 80 | 80 | 80 | 80 |
Generic and biosimilar penetration (generic, biosimilar, and off-patent brands): volume uptake (%) | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
Time to reach maximum of generic or biosimilar penetration (months) | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Impact of generic or biosimilar entry on brand price (%) | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Biosimilars: retail chain | |||||||
Time to market after marketing authorization (days) | 470 | 180 | 450 | 580 | 540 | 530 | 180 |
Price reduction of the biosimilar versus the original branded product (%) | 30 | 25 | 25 | 50 | 45 | 30 | 25 |
Biosimilar penetration (biosimilar and off-patent brands): volume uptake (%) | 15 | 25 | 5 | 100 | 25 | 15 | 15 |
Time to reach maximum of biosimilar penetration (months) | 36 | 12 | 36 | 18 | 24 | 30 | 12 |
Impact of biosimilar entry on brand price (%) | 10 | 0 | 25 | 0 | 12 | 0 | 0 |
Reimbursement | |||||||
Reimbursement rates (%) | 69 | 90 | 80 | 67 | 62.5 | 81.6 | 100 |