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Enregistrement W2125215579 · doi:10.1111/1467-9566.12188

Davis, C. and Abraham, J.Unhealthy Pharmaceutical Regulation: Innovation, Politics and Promissory Science. Basingstoke: Palgrave Macmillan. 2013. 336pp £65.00 (hbk) ISBN: 978–0‐230–00866–3

2014· article· en· W2125215579 sur OpenAlexaff
Conor M.W. Douglas

Notice bibliographique

RevueSociology of Health & Illness · 2014
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiquePharmaceutical industry and healthcare
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésPoliticsDeregulationRegulatory scienceAgency (philosophy)Product (mathematics)Pharmaceutical industryPolitical sciencePower (physics)Public administrationLaw and economicsBusinessMedicineEconomicsLawSociologyPharmacologyMarket economy

Résumé

récupéré en direct d'OpenAlex

This is the first international comparison of the world's two largest pharmaceutical regulatory agencies (that is, the American Food and Drug Administration (FDA) and the European Medicines Agency (EMA) and the neoliberal deregulatory reforms that have been taking place across these institutions over the past 30 years. The general question driving the book is the extent to which those reforms have been in the interest of public health, which is answered through further questions such as: ‘What is the relationship between deregulation, innovation and the availability of valuable therapies for patients? What role is played in shaping regulatory decision-making by public expectations and the assertions of what some scholars call “promissory science”? Has pharmaceutical regulation and innovation during the neo-liberal era been an unwarranted misadventure or even misdirection so far as health is concerned, or are they on the right track?’ (p.3). Permit marketing approval of new drugs intended to treat serious or life-threatening illnesses that appear to provide meaningful therapeutic benefits to patients compared with existing treatment on the basis of adequate and well-controlled clinical trials establishing that the drug product has an effect on a surrogate endpoint that is ‘reasonably likely’ to predict clinical benefit. (p.56) The 1992 Prescription Drug User Fee Act that instituted fees to be paid by companies submitting new drug applications (and for each existing product on the market and each manufacturing plant in operation) that could be used only for the FDA's drug review process (p.59). The power of this book rests in the authors’ ability to track how those particular neoliberal policies in the FDA and EMA influenced the (de)regulation of a set of specific drugs, and to assess the impact that this neoliberal approach has had on public health. The placebo standard and regulatory reliance on some ‘established’ surrogate measures of drug efficacy, such as blood-glucose control, needed to be challenged in ways contrary to the commercial interests of the pharmaceutical industry by prolonging approval times and increasing the risk of non-approval. (p.153) The case implies that requiring companies to provide better and more targeted evidence about efficacy, if appropriate, is much more likely to be in patients’ interests, even if that process takes longer initially. (p.263) The decision by EU regulators to withdraw those drugs from the market was more in the interest of public health than risk managing them on the market, as the FDA chose to do. (p.264) This extremely well-researched book serves the dual purpose of collating the decades of work carried out by Davis and Abraham and laying the foundation for a new social science discipline concerned with pharmaceuticals and public health policy. The book outlines how a collection of theoretical tools, that is, neoliberal theory, capture theory, corporate bias theory, disease-politics theory (hard and soft versions) and expectations/marketing theory could be used by such a discipline. The final chapter reviews their applicability across the drug case studies, providing lessons and arguments for changes needed in the regulation of pharmaceutical in the EU and the USA. As a consequence this book is highly relevant and recommended for anyone interested in pharmaceuticals, whether an academic, clinician, scientific or biomedical researcher, regulator or policymaker, and it may be of particular interest to patients. The book is part of the Health, Technology, and Society series published by Palgrave that includes a number of other high quality and award-winning contributions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,998
Score d'incertitude au seuil0,074

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,007
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0020,008
Communication savante0,0080,009
Science ouverte0,0020,002
Intégrité de la recherche0,0070,009
Charge utile insuffisante (le modèle a refusé de juger)0,0220,012

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.

Tête enseignante Opus0,216
Tête enseignante GPT0,502
Écart entre enseignants0,286 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2014
Routes d'admission1
Résumé présentoui

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