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Record W3040364900 · doi:10.1186/s13012-020-01013-y

Building knowledge translation competency in a community-based hospital: a practice-informed curriculum for healthcare providers, researchers, and leadership

2020· article· en· W3040364900 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueImplementation Science · 2020
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsHolland Bloorview Kids Rehabilitation Hospital
FundersHolland Bloorview Kids Rehabilitation Hospital Foundation
KeywordsCurriculumFacilitatorKnowledge translationMedical educationMedicineHealth careStakeholderHealth administrationCurriculum developmentKnowledge managementNursingPsychologyPedagogyPublic healthPublic relations

Abstract

fetched live from OpenAlex

BACKGROUND: Enacting knowledge translation (KT) in healthcare settings is a complex process that requires organizational facilitation. In addition to addressing organizational-level barriers, targeting individual-level factors such as KT competencies are a necessary component of this aim. While literature on KT competency training is rapidly growing, there has been little exploration of the potential benefits of training initiatives delivered from an intra-organizational perspective. Addressing this gap, we developed the Knowledge Translation Facilitator Network (KTFN) to meet the KT needs of individuals expected to use and produce knowledge (e.g., healthcare providers, research staff, managers, family advisors) within an academic health sciences center. The aim of this study is to describe the development, implementation, and evaluation of the KTFN curriculum. METHODS: An educational framework was used to guide creation of the KTFN curriculum. Stakeholder interviews, a literature review of KT competency, and environmental scan of capacity building initiatives plus adult learning principles were combined with in-house experience of KT practitioners to inform content and delivery. An evaluation strategy consisting of pre/post-test curriculum and post-session satisfaction surveys, as well as post-curriculum interviews assessed impact on participant knowledge and skills and captured perceived value of KFTN. RESULTS: The curriculum has been delivered three times over 3 years, with 30 individuals trained, representing healthcare providers, graduate level research trainees, managers, and family advisors. Using the New World Kirkpatrick Model as an analysis framework, we found that the KTFN curriculum was highly valued and shifted learners' perceptions of KT. Participants identified enhanced knowledge and skills that could be applied to different facets of their work; increased confidence in their ability to execute KT tasks; and intention to use the content in future projects. Barriers to future use included time to plan and conduct KT activities. CONCLUSION: KTFN was developed to enhance KT competency among organizational members. This initiative shows promise as a highly valued training program that meets both individual and organizational KT needs and speaks to the importance of investing in tailored KT competency initiatives as an essential building block to support moving evidence into practice.

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.

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)0.011
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.599
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.900
GPT teacher head0.736
Teacher spread0.164 · 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