Defining the Scope of Knowledge Translation Within a National, Patient-Oriented Kidney Research Network
Notice bibliographique
Résumé
PURPOSE OF PROGRAM: Integrated knowledge translation (IKT) is a collaborative approach whereby knowledge created through health research is utilized in ways that are relevant to the needs of all stakeholders. However, research teams have limited capacity and know-how for achieving IKT, resulting in a disconnect between the generation and application of knowledge. The goal of this report is to describe how IKT research was achieved across a large-scale, patient-oriented research network, Canadians Seeking Solutions and Innovations to Overcome Chronic Kidney Disease (Can-SOLVE CKD). SOURCES OF INFORMATION: Resources to facilitate knowledge translation (KT) planning across the network were developed by the Can-SOLVE CKD Knowledge User/Knowledge Translation Committee with reference to established Canadian KT and patient engagement tools and frameworks, review of the published and gray literature, and expertise of committee members. METHODS: The Can-SOLVE CKD Knowledge User/Knowledge Translation Committee consisting of patient partners, health care providers, policymakers, and researchers provided oversight of the development and implementation of the network's IKT initiatives. Guided by its strategic framework, the committee developed KT planning templates and review checklists to assist network projects with preparing for dissemination, implementation, and scale and spread of their interventions. The committee has acted in a consultative capacity to facilitate IKT across network initiatives and has supported capacity building through KT activities aimed at network membership and knowledge users more broadly. KEY FINDINGS: The Can-SOLVE CKD Knowledge User/Knowledge Translation Committee established a nation-wide strategy for KT infrastructure and capacity building. Acting as a knowledge intermediary, the committee has connected research teams with knowledge users across Canada to support practices and policies informed by evidence generated by the network. The committee has developed KT initiatives, including a Community of Practice, whereby participants across different regions and disciplines convene regularly to share health research knowledge and communications strategies relevant to the network. Critically, patients are engaged and contribute throughout the research process. Examples of IKT activities from select projects are provided, as well as ways for sustaining the network's KT platform. LIMITATIONS: The KT resources developed by the committee were adapted from other established resources to meet the needs of the network and have not undergone formal evaluation in this context. Given the broad scope of the network, resources to facilitate implementation and knowledge user engagement may not meet the needs of all initiatives and must be tailored accordingly. Knowledge barriers, including a lack of information and skills related to conceptual and practical aspects of KT, among network members provided a rationale for various KT capacity-building initiatives. IMPLICATIONS: The approach described here offers a practical method for achieving IKT, including how to plan, implement, and sustain initiatives across large-scale health research networks. Within the context of Can-SOLVE CKD, these efforts will shorten knowledge-practice gaps through producing and applying relevant research to improve the lives of people living with kidney disease.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,136 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».