MétaCan
Menu
Retour à la cohorte
Enregistrement W1984457934 · doi:10.1682/jrrd.2006.05.0056

Knowledge translation: A mandate for Federal research agencies

2007· editorial· en· W1984457934 sur OpenAlexaboutno aff
Richard P. Melia, A.M. Sherwood

Notice bibliographique

RevueThe Journal of Rehabilitation Research and Development · 2007
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueHealth Policy Implementation Science
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMandateKnowledge translationTranslation (biology)PsychologyBusinessComputer sciencePolitical scienceKnowledge management

Résumé

récupéré en direct d'OpenAlex

In this time of tightening budgets and increased accountability, Federal agencies must be seen not only as effective in carrying out their missions (i.e., generating scientifically based results) but also as supportive of relevant work. The challenges to being relevant are at least as formidable as those to achieving scientific rigor. The U.S. Department of Education's National Institute on Disability and Rehabilitation Research (NIDRR) recently published its Long-Range Plan for Fiscal Years 2005-2009 in the Federal Register, in which it outlined a new approach to its legislatively mandated role in disseminating valuable information to persons with disabilities and their families [1]. This new approach at NIDRR can be traced in part to the first conference under the Translating Research into Practice initiative, which was held in 2003 by the U.S. Department of Health and Human Services, Agency for Healthcare Research and Quality. At this conference, one topic of discussion was the implication of evaluating the quality of findings. In this context, the conference participants reflected interest in the concept of knowledge translation (KT) as developed by the Canadian Institute of Health Research (CIHR). This institute defined KT as-- ... the exchange, synthesis and ethically-sound application of knowledge --within a system of interactions among researchers and users--to accelerate the capture of the benefits of ... [2]. The CIHR further states that KT encompasses all steps between the creation of new knowledge and its application to yield beneficial outcomes for society. This includes knowledge dissemination, communication, technology transfer, ethical context, knowledge management, knowledge utilization, two-way exchange between researchers and those who apply knowledge, implementation technology assessment, synthesis of results within a global context, development of consensus guidelines, and [2]. In a forthcoming book chapter, Campbell describes KT as closing the gap between discovery and deployment [3]. Through the leadership of Richard P. Melia, PhD, * NIDRR gave KT a strategic role in the logic model outlined in NIDRR's long-range plan mentioned previously. Dr. Melia vigorously promoted the understanding of the essential centrality of KT to beginning with conceptualization and continuing through utilization of the results, and the benefits available from the complex system of interactions among researchers and users. In some ways, KT is analogous to participatory action research, or research that involves all relevant parties in actively examining current action together to maximize the likelihood of relevant, meaningful [4] Key concepts of KT include its cyclic nature, in which the interactions of researchers and knowledge users (KUs) continually influence the direction, progress, and results of so its continual relevance or meaning to KUs is assured. The CIHR recognizes that commercialization of results is an important aspect of KT efforts; thus, technology transfer is also an important part of the KT process. Equally important in the current (and foreseeable) environment is evidence vetting, in which great stress is placed on establishing and maintaining rigor in methods. Because of the historic problems of small populations of heterogeneous individuals, rehabilitation is on the cutting edge of what will likely become the wave of the future--the n of 1--design that will become more and more widespread as the effect of genomics on medicine develops to the point that therapies will be tailored to each individual. Thus, the challenges we now face in conducting clinical in the current flat earth society of randomized controlled trials [5] will be faced by more and more medical disciplines and will demand that we identify and develop methods that yield the rigorous results demanded not only by KUs but also by those holding agencies accountable for producing meaningful results, both inside and outside government. …

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)0,163
score de la tête « metaresearch » (Gemma)0,045
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,239
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,1630,045
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0050,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,843
Tête enseignante GPT0,752
Écart entre enseignants0,090 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations4
Publié2007
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueThe Journal of Rehabilitation Research and DevelopmentMême sujetHealth Policy Implementation ScienceTravaux en français237 207