MétaCan
Menu
Retour à la cohorte
Enregistrement W2765583608 · doi:10.1111/1440-1630.12433

Knowledge translation in occupational therapy

2017· editorial· en· W2765583608 sur OpenAlexaboutno aff
Sally Bennett

Notice bibliographique

RevueAustralian Occupational Therapy Journal · 2017
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueHealth Policy Implementation Science
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésKnowledge translationTerminologyExperiential knowledgeKnowledge managementWarrantTacit knowledgeProcess (computing)Quality (philosophy)PsychologyMedical educationEngineering ethicsMedicineComputer scienceEpistemologyBusinessEngineering

Résumé

récupéré en direct d'OpenAlex

The gulf between what we know from research and what we do in practice is substantial. The existence of primary research, its synthesis and dissemination, although essential, are not sufficient for ensuring its enactment to improve health outcomes. The result is that our clients often may not receive optimal care. Knowledge translation seeks to address this problem. Knowledge translation has been described as a dynamic and iterative process that involves synthesis, dissemination, exchange and application of knowledge to improve health (Canadian Institutes for Health Research (CIHR) (2015). The field is characterised by conceptual challenges with for example, the terms knowledge translation, knowledge exchange, research utilisation and implementation variably being used to describe interrelated and overlapping perspectives, however each addresses the aim of closing the gap between research and practice. Despite this variation in terminology, the ‘knowledge’ to be translated ordinarily refers to recommendations from research, with many authors giving preference to high-quality, synthesised research such as systematic reviews or recommendations from clinical practice guidelines (Grimshaw, Eccles, Lavis, Hill & Squires, 2012). The rationale given for this is that individual studies may not be definitive enough on their own to warrant the efforts involved in changing practice. Even if this is the case, the pluralistic nature of knowledge should also be taken into account (Straus, Tetroe & Graham, 2013), as all forms of knowledge are needed to enact and advance our practice. It is also clear that the processes involved in knowledge translation could not take place without other forms of knowledge – experiential, tacit and strategic knowledge – all essential for negotiating the complexities of change within dynamic health-care environments. The targets of knowledge translation are many and varied. Within occupational therapy, the literature describes knowledge translation in the fields of stroke rehabilitation, vocational rehabilitation, mental health, falls prevention, assessments and interventions for children with cerebral palsy, and occupational therapy for people with dementia, to name a few. Much of this work has involved bringing about change in health professionals’ practice and/or the systems within which they work, neither of which is easy. A whole body of literature exists offering models and frameworks for guiding knowledge translation, many of which propose an analysis of the individual and contextual barriers to change, and application of tailored strategies to target known barriers. Also pivotal is the need for knowledge translation to be well-planned and to consider the perspectives of many different stakeholders. However, beyond understanding the methods for translating research findings into practice, it is also critical that research is developed with the end-use in mind. This requires not simply knowing who the end users may be, but extends to co-creation of knowledge. ‘Integrated knowledge translation’ where researchers and knowledge-users work together to shape the research process both prior to the commencement of research and beyond its completion (CIHR, 2015) is not a new idea; however, true involvement of consumers in co-creation of research and its translation is now increasingly valued. In short, knowledge translation is not straight forward, can be approached from many different perspectives, utilises multiple forms of knowledge, involves many different stakeholders and is a continuing process, but is an essential activity that we need all engage in. The Australian Occupational Therapy Journal will continue to support this effort.

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)0,007
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,085
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,003
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0030,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0020,005
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

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.

Tête enseignante Opus0,817
Tête enseignante GPT0,708
Écart entre enseignants0,109 · 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

Citations6
Publié2017
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueAustralian Occupational Therapy JournalMême sujetHealth Policy Implementation ScienceTravaux en français237 207