Reputation and Authority: The FDA and the Fight over U.S. Prescription Drug Importation
Notice bibliographique
Résumé
There is popular and bipartisan support for legalizing the importation of lower-cost medicines from Canada to help reduce the high prescription drug costs that Americans pay. Despite the wide interest in this policy, attempts over the last sixteen years to create a formal system for large-scale prescription drug importation in the United States have failed. The Trump administration recently issued a Notice of Proposed Rulemaking to enable the legal importation of prescription drugs from Canada, but the Notice has important design flaws and seems destined to suffer a similar fate as previous efforts. In this article, we argue that prescription drug importation is a form of international regulatory engagement that can work, but not in the manner that recent congressional legislation or the Trump administration has proposed. Importation of prescription drugs, even foreign versions of already-approved drugs, requires the importing nation to accept the marketing approval standards, processes, and product-specific decisions of the exporting nation as equivalent to domestic regulation. The FDA, however, has made far fewer determinations of foreign regulatory equivalence than its counterpart regulators. As a result, the statutory requirements for the FDA maintaining direct oversight over prescription drug imports from Canada are onerous and unlikely ever to be fulfilled. Examining U.S. prescription drug importation as a form of reliance on the equivalence of foreign regulation is, as far as we can determine, a novel inquiry, and it offers useful insights. Foreign equivalence determinations have been successfully used in pharmaceutical regulation in two contexts: (1) trade initiatives and (2) circumstances in which regulatory agencies were unable to fulfill their core institutional mandates without relying on the decision-making of their foreign counterparts. The FDA has not fit neatly into either of these contexts. In contrast to many of its foreign counterparts, the FDA has consolidated authority over pharmaceutical regulation, which it sustains through its reputation among its constituents—appropriators, consumers, pharmaceutical product sponsors, and the relevant medical and scientific communities— for overseeing the safety, efficacy, and quality of medicines. The FDA has resisted risking any harm to that gatekeeper reputation that might follow from its pursuit of other policy objectives, such as lowering drug prices or facilitating trade. Furthermore, FDA officials describe themselves as “the gold standard” for drug review—more thorough and rigorous about regulation than their counterparts—and, until recently, as able to fulfill their core institutional mandates without the cooperation of foreign counterparts Based on this analysis of the political economy of pharmaceutical regulation and international regulatory cooperation at the FDA, we propose that U.S. prescription drug importation could be successfully used to address generic drug shortages, a persistent regulatory problem that the FDA has been unable to solve independently. We argue that the same analysis can help identify other circumstances when the FDA might usefully engage foreign counterparts, such as foreign manufacturer inspections for the rapidly increasing volume of U.S. drug imports, the growing complexity of global pharmaceutical supply chains, and the technological advances in personalized medicines.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,037 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,014 | 0,034 |
| Communication savante | 0,025 | 0,014 |
| Science ouverte | 0,001 | 0,006 |
| Intégrité de la recherche | 0,022 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».