Learnings from Regional Market Dynamics of Originator and Biosimilar Infliximab and Etanercept in Germany
Abstract
:1. Introduction
- -
- Regional variations in the use of TNF⍺ inhibitor biosimilars in Sweden have been attributed to the extent of actual (discounted/rebated) price differences between biosimilars and the originator product, the engagement of key opinion leaders, the issuance of local guidelines and to gainsharing arrangements [17,18].
- -
- In Germany, biosimilar uptake is also known to vary at the regional level. This was investigated by Blankart et al. for erythropoiesis-stimulating substances, filgrastim and somatropin. Variations in biosimilar uptake were partly attributed to the presence of explicit regional cost-control measures, such as quota regulations [54].
- -
- Although previous studies have characterized regional variations in the uptake of TNF⍺ inhibitor biosimilars in Germany, the reasons behind this variable uptake have not been examined in detail [19].
- -
- This study highlights the influence of prescription and budget control activities (organized at the regional and insurer level) on the variable uptake of infliximab and etanercept biosimilars.
2. Results
2.1. Overview of TNFα Inhibitor Dynamics in the German Healthcare System
2.1.1. The German Market for TNFα Inhibitors
2.1.2. Regulations of the German Market for TNFα Inhibitors
2.2. Analysis of Dispensing Data for TNFα Inhibitors
2.2.1. TNFα Inhibitor Products: Evolution in Sales Volume
2.2.2. Infliximab and Etanercept Biosimilars and Originators: Evolution in Market Shares for the German Regions
2.3. The Role of Biosimilar Policies and Practices on Biosimilar Uptake: Interview Results
Incentives for Increased Biosimilar Use
3. Discussion
3.1. Incentives for Increased Biosimilar Use
3.2. Study Limitations
3.3. Future Research
4. Materials and Methods
4.1. Literature Review
4.2. Analysis of Dispensing Data for TNFα Inhibitors
4.3. Interviews
5. Conclusions
Availability of Data and Materials
Ethics Approval
Consent to Participate
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Q1 2015 | Q2 2015 | Q3 2015 | Q4 2015 | Q1 2016 | Q2 2016 | Q3 2016 | Q4 2016 | Q1 2017 | Q2 2017 | Q3 2017 | Q4 2017 | Q1 2018 | Q2 2018 | Q3 2018 | Q4 2018 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
INFLIXIMAB | ||||||||||||||||
Lower Saxony | 2% | 11% | 17% | 24% | 26% | 34% | 40% | 48% | 74% | 76% | 83% | 84% | 88% | 88% | 87% | 87% |
Westphalia-Lippe | 3% | 20% | 25% | 33% | 40% | 49% | 57% | 64% | 68% | 73% | 77% | 79% | 83% | 84% | 86% | 86% |
Bavaria | 2% | 12% | 18% | 25% | 30% | 37% | 38% | 42% | 55% | 66% | 70% | 72% | 75% | 77% | 78% | 78% |
Bremen | 0% | 3% | 14% | 21% | 24% | 10% | 22% | 38% | 37% | 48% | 53% | 58% | 61% | 71% | 74% | 77% |
Schleswig Holstein | 2% | 9% | 12% | 13% | 20% | 21% | 25% | 27% | 33% | 40% | 38% | 47% | 55% | 63% | 73% | 76% |
Rhineland Palatinate | 1% | 11% | 17% | 25% | 25% | 37% | 41% | 47% | 55% | 59% | 60% | 69% | 69% | 70% | 62% | 70% |
Northrhine | 1% | 13% | 27% | 32% | 40% | 46% | 50% | 53% | 57% | 57% | 61% | 62% | 63% | 67% | 69% | 70% |
Saarland | 3% | 24% | 22% | 24% | 31% | 33% | 44% | 49% | 61% | 57% | 61% | 63% | 65% | 67% | 67% | 69% |
Hesse | 6% | 19% | 28% | 38% | 44% | 42% | 43% | 45% | 47% | 52% | 51% | 55% | 55% | 56% | 58% | 60% |
Mecklenburg Western Pomerania | 0% | 0% | 7% | 8% | 11% | 12% | 12% | 25% | 22% | 28% | 46% | 43% | 42% | 43% | 48% | 58% |
Thuringia | 1% | 3% | 8% | 15% | 22% | 26% | 24% | 23% | 27% | 36% | 39% | 50% | 54% | 56% | 59% | 53% |
Hamburg | 0% | 1% | 6% | 11% | 17% | 14% | 16% | 21% | 22% | 25% | 31% | 34% | 39% | 43% | 49% | 52% |
Baden-Württemberg | 1% | 3% | 8% | 12% | 14% | 14% | 16% | 21% | 27% | 30% | 34% | 41% | 42% | 48% | 47% | 49% |
Berlin | 0% | 2% | 5% | 10% | 15% | 26% | 29% | 31% | 36% | 36% | 38% | 40% | 43% | 45% | 44% | 49% |
Saxony-Anhalt | 8% | 29% | 35% | 31% | 27% | 27% | 27% | 25% | 31% | 42% | 43% | 46% | 51% | 53% | 53% | 48% |
Saxony | 0% | 3% | 4% | 9% | 10% | 14% | 14% | 16% | 18% | 20% | 22% | 29% | 33% | 36% | 40% | 45% |
Brandenburg | 7% | 21% | 25% | 25% | 27% | 30% | 29% | 31% | 30% | 29% | 28% | 29% | 30% | 33% | 34% | 33% |
ETANERCEPT | ||||||||||||||||
Westphalia-Lippe | 0% | 0% | 0% | 0% | 0% | 22% | 38% | 47% | 55% | 59% | 62% | 66% | 71% | 75% | 76% | 77% |
Lower Saxony | 0% | 0% | 0% | 0% | 0% | 3% | 9% | 25% | 48% | 55% | 61% | 65% | 69% | 70% | 73% | 74% |
Bavaria | 0% | 0% | 0% | 0% | 0% | 4% | 10% | 17% | 34% | 46% | 50% | 55% | 61% | 63% | 65% | 68% |
Northrhine | 0% | 0% | 0% | 0% | 0% | 8% | 14% | 20% | 28% | 33% | 39% | 47% | 54% | 59% | 63% | 67% |
Hamburg | 0% | 0% | 0% | 0% | 0% | 1% | 5% | 11% | 17% | 21% | 22% | 27% | 40% | 49% | 57% | 62% |
Schleswig Holstein | 0% | 0% | 0% | 0% | 0% | 4% | 7% | 11% | 17% | 22% | 28% | 31% | 44% | 53% | 57% | 60% |
Rhineland Palatinate | 0% | 0% | 0% | 0% | 0% | 5% | 11% | 19% | 30% | 35% | 40% | 46% | 51% | 53% | 56% | 59% |
Bremen | 0% | 0% | 0% | 0% | 0% | 3% | 8% | 18% | 28% | 29% | 37% | 39% | 47% | 47% | 54% | 55% |
Hesse | 0% | 0% | 0% | 0% | 0% | 4% | 13% | 15% | 19% | 22% | 24% | 28% | 32% | 35% | 41% | 50% |
Saxony-Anhalt | 0% | 0% | 0% | 0% | 0% | 2% | 5% | 7% | 11% | 16% | 21% | 28% | 39% | 44% | 43% | 46% |
Baden-Württemberg | 0% | 0% | 0% | 0% | 0% | 4% | 11% | 16% | 23% | 26% | 30% | 32% | 37% | 38% | 42% | 46% |
Saarland | 0% | 0% | 0% | 0% | 0% | 4% | 8% | 10% | 18% | 19% | 19% | 25% | 26% | 34% | 34% | 42% |
Saxony | 0% | 0% | 0% | 0% | 0% | 1% | 3% | 6% | 9% | 13% | 17% | 24% | 31% | 37% | 39% | 40% |
Berlin | 0% | 0% | 0% | 0% | 0% | 2% | 6% | 11% | 16% | 19% | 22% | 26% | 28% | 32% | 35% | 37% |
Mecklenburg Western Pomerania | 0% | 0% | 0% | 0% | 0% | 2% | 4% | 8% | 13% | 16% | 18% | 21% | 26% | 30% | 36% | 37% |
Thuringia | 0% | 0% | 0% | 0% | 0% | 1% | 2% | 4% | 5% | 9% | 11% | 17% | 23% | 25% | 33% | 35% |
Brandenburg | 0% | 0% | 0% | 0% | 0% | 3% | 6% | 10% | 12% | 14% | 16% | 19% | 24% | 25% | 31% | 33% |
Drivers of Biosimilar Use | Factors Facilitating Biosimilar Acceptance |
---|---|
Biosimilar prescription quotas: -Efficient monitoring -Presence of a sanctioning mechanism | Efficient communication between stakeholders -Robust reporting capability of regional physician associations |
Greater cost-savings potential associated to biosimilars | |
Gainsharing contracts | |
Position statements/guidelines on the safety of switching |
Quota Agreements: Characteristics | ||||||
---|---|---|---|---|---|---|
Regions | Early Quota Adoption: (Before 2016) | Set Unspecifically for Biosimilars | Set for the Category of TNFα Inhibitors | Set for the Active Substance | Applied Generally to All Prescribers | Applied Differently per Specialty |
Baden-Württemberg | √ | √ | ||||
Bavaria | √ | √ | √ | |||
Berlin | √ | √ | ||||
Brandenburg | √ | √ | ||||
Bremen | √ | √ | ||||
Hamburg | √ | √ | ||||
Hesse | √ | √ | ||||
Mecklenburg Western Pomerania: (missing data) | ||||||
Lower Saxony | √ | √ | √ | |||
Northrhine | √ | √ | ||||
Rhineland Palatinate | √ | √ | ||||
Saarland | √ | √ | ||||
Saxony | √ | √ | ||||
Saxony-Anhalt | √ | √ | ||||
Schleswig Holstein | √ | √ | ||||
Thuringia | √ | √ | ||||
Westphalia- Lippe | √ | √ | √ |
English Term | German Term | German Abbreviation |
---|---|---|
Drug Commission of the German Medical Association | Arzneimittelkommission der deutschen Ärzteschaft | AkdÄ |
Federal Association of Statutory Health Insurance Physicians | Kassenärztliche Bundesvereinigung | KBV |
ADKA - Federal Association of German Hospital Pharmacists | ADKA - Arbeitsgemeinschaft Deutscher Krankenhaus Apotheker e.V. | - |
Federal Joint Committee | Gemeinsamer Bundesausschuss | G-BA |
Federal Ministry of Justice and Consumer Protection | Bundesministerium der Justiz und für Verbraucherschutz | BMJV |
ABDA - Federal Union of German Associations of Pharmacists | ABDA - Bundesvereinigung Deutscher Apothekerverbände e.V. | - |
German Institute for Drug Use Evaluation | Deutsches Arzneiprüfungsinstitut e.V. | DAPI |
German law for more safety in the supply of pharmaceuticals | Gesetz für mehr Sicherheit in der Arzneimittelversorgung | GSAV |
German federal states | Bundesländer | - |
German Regional Associations of Statutory Health Insurance Accredited Physicians (also referred to in text as PA regions): To be noted: -This paper makes a distinction between the 16 German federal states and the 17 PA regions. Although Germany is divided into 16 federal states, the areas Northrhine and Westphalia-Lippe within the state Northrhine-Westphalia are represented by two independent PA regions. -Dispensing data have been provided/analysed per PA region and the univariate regression study has been conducted with data at the state level. This was due to limitations in data availability for the univariate regression analyses. -When referring to regions formerly forming East Germany, we include Brandenburg, Mecklenburg Western Pomerania, Saxony, Saxony-Anhalt and Thuringia, but not Berlin. This is because we do not have sub regional data to analyze uptake differences between areas formerly forming East and West Berlin. | Kassenärztliche Vereinigungen | KV |
National Association of Statutory Health Insurance Funds | Gesetzliche Krankenversicherung-Spitzenverband | GKV-SV |
National advisory agreement on spending targets: (also referred to in text as national-level agreements on prescription targets) | Bundesrahmenvorgaben für die Arzneimittelvereinbarungen | - |
“Open-house rebate” contracts | Open-House-Rabattverträge | - |
Private Health Insurance (abbreviated in text as PHI) | Private Krankenversicherung | PKV |
Regional agreements on prescribing spending targets, supply and economy targets (also referred to in text as regional-level contracts to establish prescribing quotas) | Arzneimittelvereinbarungen | - |
Sickness Funds (also referred to in text as insurer organizations or insurers) | Krankenkassen | - |
Social Code Book V (Statutory Health Insurance) | Sozialgesetzbuch V (Gesetzliche Krankenversicherung) | SGB V |
Statutory Health Insurance (abbreviated in text as SHI) | Gesetzliche Krankenversicherung | GKV |
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Moorkens, E.; Barcina Lacosta, T.; Vulto, A.G.; Schulz, M.; Gradl, G.; Enners, S.; Selke, G.; Huys, I.; Simoens, S. Learnings from Regional Market Dynamics of Originator and Biosimilar Infliximab and Etanercept in Germany. Pharmaceuticals 2020, 13, 324. https://doi.org/10.3390/ph13100324
Moorkens E, Barcina Lacosta T, Vulto AG, Schulz M, Gradl G, Enners S, Selke G, Huys I, Simoens S. Learnings from Regional Market Dynamics of Originator and Biosimilar Infliximab and Etanercept in Germany. Pharmaceuticals. 2020; 13(10):324. https://doi.org/10.3390/ph13100324
Chicago/Turabian StyleMoorkens, Evelien, Teresa Barcina Lacosta, Arnold G. Vulto, Martin Schulz, Gabriele Gradl, Salka Enners, Gisbert Selke, Isabelle Huys, and Steven Simoens. 2020. "Learnings from Regional Market Dynamics of Originator and Biosimilar Infliximab and Etanercept in Germany" Pharmaceuticals 13, no. 10: 324. https://doi.org/10.3390/ph13100324
APA StyleMoorkens, E., Barcina Lacosta, T., Vulto, A. G., Schulz, M., Gradl, G., Enners, S., Selke, G., Huys, I., & Simoens, S. (2020). Learnings from Regional Market Dynamics of Originator and Biosimilar Infliximab and Etanercept in Germany. Pharmaceuticals, 13(10), 324. https://doi.org/10.3390/ph13100324