Brand drug companies impeding generic drug company access to product samples: Estimated prevalence and impact on drug costs
Bibliographic record
Abstract
Some brand drug companies have stymied attempts by generic drug companies to obtain samples of brand drugs needed to develop and gain regulatory approval for their generic products. This conduct, which has been reported in both the US and Canada, raises drug costs to drug plans and other payors and can lessen competition. The literature to date contains little empirical evidence on the prevalence of this conduct, the attendant effects on generic drug market launches and costs incurred by drug payors. This paper addresses these questions for Canada, using data on the drug development projects undertaken by the members of the Canadian Generic Pharmaceutical Association over the period 2015–2019. I found that about 16% of generic drug development projects were delayed due to originator firm efforts to impede access to samples of their drugs. The median generic drug launch delay (among affected drugs) attributable to the challenged conduct was 6 months. The additional costs to drug payors from the resulting delays in generic drug launches over the analysis period was in the order of $284 million, or $57 million annually. This study did not explore the additional generic drug development costs attributable to the challenged conduct.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".