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Record W2611320987 · doi:10.1186/s13643-017-0481-z

Protocol of a scoping review on knowledge translation competencies

2017· review· en· W2611320987 on OpenAlexafffund
Αναστασία Μαλλίδου, Pat Atherton, Liza Chan, Noreen Frisch, Stephanie Glegg, Gayle Scarrow

Bibliographic record

VenueSystematic Reviews · 2017
Typereview
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsSunny Hill Health Centre for ChildrenAlberta InnovatesMichael Smith Health Research BCUniversity of AlbertaUniversity of Victoria
FundersMichael Smith Health Research BCProvincial Health Services AuthorityArthritis SocietyProvidence Health CareMinistry of Health, British ColumbiaFaculty of Medicine, University of British ColumbiaMcMaster UniversityAlberta Health Services
KeywordsKnowledge translationKnowledge managementMedicineGrey literatureMultidisciplinary approachHealth careDisseminationEmpirical researchProtocol (science)Plan (archaeology)Action planMedical educationMEDLINEComputer scienceAlternative medicineSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Knowledge translation (KT) activities can reduce the gap between "what is known" and "what is done". Several factors hinder or facilitate KT activities including individual characteristics and organizational attributes; we will focus on individual healthcare professional modifiable characteristics. The purpose of this scoping review is to summarize knowledge on KT competencies for knowledge users, knowledge brokers, and knowledge producers/researchers to support evidence-based practice (EBP) and inform policy and research in health. Our objectives are to explore the relevant theoretical and empirical literature; map the publications for key themes and research gaps of KT competencies, and interventions for enhancing KT competencies; summarize and disseminate findings; produce an action plan and research agenda; and develop self-assessment tools (the KT Pathways) for professional development for our three target audiences. METHODS: The scoping review method will guide our study by following six stages: formulating the research question; identifying relevant studies; selecting the literature; charting the data; collating, summarizing, and reporting the results; and developing a KT plan and consulting stakeholders involved in the fields of KT, EBP, evidence-informed policy-making, and/or research. We will include empirical and theoretical/conceptual peer-reviewed and grey literature in health that examine knowledge user, knowledge broker and knowledge producer KT competencies. Publications written in the English language and published after 2003 only will be considered. Our multidisciplinary research team will collaborate using technology (i.e., WebEx for discussions and a Web 2.0 website for storing documents). Our KT plan consists of an Advisory Group and dissemination plan of the findings. DISCUSSION: We expect the identified KT competencies to contribute to the KT science by providing positive outcomes in practice, policy, education, and future research. Incorporation of the core KT competencies may enhance safety, effectiveness of clinical care, and quality of health outcomes; contribute to and facilitate collaboration among practitioners, knowledge users, knowledge brokers, researchers, employers, and educators; improve education of healthcare professionals and inform policy-making process; benefit practitioners by guiding their KT professional development to become effective at moving evidence into practice and policy; guide suitable interventions and strategies to enhance KT activities in the health sector; and direct future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.034
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.494
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0130.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.952
GPT teacher head0.790
Teacher spread0.162 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2017
Admission routes2
Has abstractyes

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