Analysis of Factors Influencing Originator Market Share Following Biosimilar Competition

Author(s)

Krieger D1, Mueller C1, Kanjolia M1, Dittelman Z2
1Red Nucleus, Key Largo, FL, USA, 2Red Nucleus, Yardley, PA, USA

Presentation Documents

OBJECTIVES: Explore the relative impact of factors influencing originator market share following biosimilar competition in the US.

METHODS: A multivariate linear regression analysis included 8 originators with commercially available biosimilars. Variables included aggregate biosimilar market share relative to each originator, number of biosimilar competitors, duration of biosimilar competition, originator orphan designation, price differentials between originator and biosimilar(s), and degree of payer management. An analysis of 18 health plans’ formulary documents as of 1/1/22 was conducted to identify step therapy requirements for each originator through their respective biosimilar(s). Market share and model inputs were captured from FDA, NORD, Drugs.com, and other publicly available sources.

RESULTS: The 6-variable model including all 8 originators resulted in an R-square of 0.581 (p=0.508). After an exhaustive analysis, no predictor variable achieved statistical significance independently or in any combination. However, when excluding the 2 orphan originators and their biosimilars, the R-square increased to 0.9618 (p=0.292). Further, this model resulted in a statistically significant relationship between price differentials and market share (p=0.005). This model also displayed significant results with similar R-square values in other scenarios, each with the inclusion of a single additional predictor variable alongside price differential.

CONCLUSIONS: This model better applies to non-orphan originators. Despite compelling R-square values, results are limited by the low sample size. Biosimilar pricing is more influential than originator step therapy requirements on market share. The difference between non-orphan originator prices and the average price of their biosimilar(s) was the only variable able to predict market share across all statistically significant model scenarios. Other variables such as the number of biosimilars, the duration of biosimilar competition, and step therapy requirements also partly influence market share. Perhaps, the number of biosimilars and duration of competition may influence price differentials. Similarly, price differentials may affect payer management decisions such as step therapy requirements.

Conference/Value in Health Info

2023-05, ISPOR 2023, Boston, MA, USA

Value in Health, Volume 26, Issue 6, S2 (June 2023)

Code

EE314

Topic

Economic Evaluation, Real World Data & Information Systems

Topic Subcategory

Health & Insurance Records Systems, Value of Information

Disease

Biologics & Biosimilars, Rare & Orphan Diseases

Explore Related HEOR by Topic


Your browser is out-of-date

ISPOR recommends that you update your browser for more security, speed and the best experience on ispor.org. Update my browser now

×