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Record W2746214290

Narrowing the knowledge to action gap: A mixed methods exploration of the implementation of knowledge exchange strategies

2017· dissertation· en· W2746214290 on OpenAlexaboutno aff
Kristin M. Brown

Bibliographic record

VenueUWSpace (University of Waterloo) · 2017
Typedissertation
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAction (physics)Knowledge managementPsychologyComputer sciencePhysics
DOInot available

Abstract

fetched live from OpenAlex

Adolescence represents a time in which many health behaviours related to chronic disease risk are formed and carried into adult life. Schools are considered key settings for adolescent health interventions; however, despite extensive research in this area, schools face challenges implementing interventions at the local level. Knowledge exchange, in which researchers and knowledge users collaborate to discuss and apply research findings, is one strategy to reduce the “knowledge to action gap” between school health research and practice. While knowledge exchange strategies are emerging in school health research, the need for evaluation has been emphasized.
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\nThis dissertation explored knowledge exchange strategies within the first phase of COMPASS (2012-2016), a longitudinal study of Ontario and Alberta secondary schools and students. Schools received annual summaries of their students’ health behaviours and a COMPASS researcher (i.e., knowledge broker) supported them in taking action to improve student health. Mixed methods were used to examine influential factors and outcomes of the COMPASS knowledge exchange strategies.
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\nA quantitative analysis of school- and student-level data from the first three years of COMPASS found that school characteristics (e.g., school size, existing health initiatives and relationships with public health units at baseline) and study-related factors (e.g., knowledge broker assigned to the school, knowledge brokering engagement level in previous year[s]) influenced schools’ participation in knowledge brokering. Knowledge brokering engagement was significantly associated with school-level changes related to healthy eating, physical activity, and tobacco programming, but changes were not evident at the aggregate student level. 
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\nQualitative interviews with researchers (n=13), school staff (n=13), and public health staff (n=4) expanded on influential factors and outcomes regarding use of COMPASS findings and knowledge brokering engagement. Knowledge users focused on factors that influenced their use of COMPASS findings more than knowledge brokering (discussing fewer facilitators than challenges). Factors identified by researchers and knowledge users aligned with those that influence implementation of school health interventions. School and public health staff used school-specific findings to inform programming and planning; knowledge exchange provided a platform for partnerships between researchers, schools, and public health units; and also resulted in outcomes for the study and researchers. Further, outcomes suggest knowledge exchange could provide a mechanism to help schools implement a health-promoting schools approach. Altogether, the mixed methods findings raise two considerations: how can we increase school engagement in knowledge exchange and how can we ensure knowledge exchange strategies reach schools that have lower capacity to implement school health initiatives?
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\nThis research makes substantive, theoretical, methodological, and practical contributions. Substantively, it provides an evaluation of knowledge translation in school health research. Theoretically, it integrates social constructionism and social ecological theory, addressing the need for theory in evaluating knowledge translation strategies. Further, a mixed methods approach was used to examine both implementation and outcomes, which has been advocated in the literature. Practice implications are discussed related to future knowledge translation strategies in school health and public health research. Lastly, areas for future research are identified.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.156
GPT teacher head0.468
Teacher spread0.312 · 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; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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

Citations0
Published2017
Admission routes1
Has abstractyes

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