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Enregistrement W4379416154 · doi:10.1353/bhm.2010.a408232

The Convergence of Science and Governance: Research, Health Policy, and American States (review)

2010· article· en· W4379416154 sur OpenAlexaboutno aff
Daniel Carpenter

Notice bibliographique

RevueBulletin of the history of medicine · 2010
Typearticle
Langueen
DomainePharmacology, Toxicology and Pharmaceutics
ThématiquePharmaceutical industry and healthcare
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicaidCorporate governancePublic administrationState (computer science)Political scienceHealth careLegislationConvergence (economics)Health policyLawManagementEconomic growthEconomics

Résumé

récupéré en direct d'OpenAlex

Reviewed by: The Convergence of Science and Governance: Research, Health Policy, and American States Daniel Carpenter Daniel M. Fox . The Convergence of Science and Governance: Research, Health Policy, and American States. Berkeley: University of California Press, 2010. xii + 168 pp. $29.95 (978-0-520-26238-6). In the aftermath of congressional passage of federal legislation that will shape American health care for decades to come, it is easy to forget that significant and monumental health reform has been shaped by state governments. Daniel Fox's Convergence of Science and Governance documents a gradual but substantial transformation in the way that states regulate and compensate health services. In Fox's lovely and concise volume, the states effect broad shifts in methods, rules, concepts, and resource allocation. These shifts portend and presage much of what can be expected to occupy the agendas and minds of policy makers in state capitols and Washington in the coming decades. Fox conveys how state health policy makers have come to regulate therapeutics and health services by relying on systematic reviews of comparative treatment effectiveness. Some of the names and networks in this narrative are familiar—in particular Donald Berwick, who at this writing has been nominated by President Obama for head of the Centers for Medicare & Medicaid Services. Yet Fox introduces us to new personalities in this saga. They range from female effectiveness pioneer Mindel C. Sheps and University of Michigan scholar Avedis Donabedian to Oregon officials Mark Gibson and Mark Helfand to policy makers in Idaho, Washington, and Canadian provinces who became early and risk-taking champions of coverage policy based on systematic evidentiary reviews. There are also previously understudied networks and organizations that will now, thanks to Fox, populate the annals of health service reform: the Reforming States Group, the founders of the Drug Effectiveness Research Project (pp. 80-82) in the western states, the federal government's User Liaison Program. [End Page 706] In a volume that functions as an intersection of political and methodological history—I am reminded, in some ways, of Richard White's brief and boundary-spanning Organic Machine—Fox gives shrewd attention to the political economy of health research methods. He ably shows how randomized trials have transformed many debates but also how their prohibitive cost tends to confer advantages on the organizations that can afford to sponsor them (pp. 7, 22). The modern embrace of randomized controlled trial methods leads to a cat-and-mouse game about how to perform these studies and how to apply their lessons (see his concluding chap. 5). And Fox exhibits a sharp understanding of the role, limitations, and complicated politics of statistical inference. His musings about the tension between average effects and individual or subpopulation results and his cautionary notes about libertarian and industry-sponsored abuses of the distinction should be required reading in graduate seminars (pp. 92-93). Fox devotes chapter 4 to an understanding of the Drug Effectiveness Review Project (DERP). It is, in my reading, the crowning effort of the book and represents simply the best encapsulation and narrative on the project that has been written. The fledgling effort received a political boost from its narrow passage in Oregon and the failure of a judicial challenge to Maine's law, and the role of DERP systems in sounding an early warning on Vioxx and its cardiovascular risks lent additional legitimacy to the effort. There is convergence is this narrative, but Fox avoids teleology. There are limitations to an effort like this, not least a somewhat contrived distinction between "general government" and "specialist government." This binary both confuses the reader and results in what, for a gifted historical writer, are some rather anachronistic statements (the idea that state government specialists' "priority is to justify, and advocate for, more money and authority for their agencies"; p. 52). Yet the credits far outpace the debits here. The deep legacy of American health reform in the twenty-first century expresses and signifies, perhaps inescapably, a deeply federalist history. More than any scholar writing, Daniel Fox has set readers on that path of understanding. Daniel Carpenter Harvard University Copyright © 2010 The Johns Hopkins University Press

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut 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: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,677
Score d'incertitude au seuil0,969

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0090,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,033
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,312
Tête enseignante GPT0,555
Écart entre enseignants0,243 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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
Publié2010
Routes d'admission1
Résumé présentoui

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Même revueBulletin of the history of medicineMême sujetPharmaceutical industry and healthcareTravaux en français237 207