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Record W2607420215

Lessons learned from "Changing Minds" to increase health care professionals' intentions to discuss physical activity with patients with a physical disability

2014· article· en· W2607420215 on OpenAlexaffabout
Jennifer R. Tomasone

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsQueen's University
Fundersnot available
KeywordsIntervention (counseling)Knowledge translationPsychologyCurriculumHealth careMedical educationProcess (computing)Work (physics)NursingMedicinePedagogyPolitical scienceKnowledge managementEngineering
DOInot available

Abstract

fetched live from OpenAlex

Only 3% of Canadians with a physical disability engage in physical activity (PA) despite accumulating research evidence about the benefits of, and efficacious strategies that can enhance, participation among this group. While health care professionals (HCPs) have been identified as important conduits of PA information among this group, few discuss PA with their patients. The Canadian Paralympic Committee offers Changing Minds, Changing Lives (CMCL), a nationwide, seminar-mediated educational program that addresses this gap by providing HCPs with the knowledge, strategies and resources needed to discuss PA with their patients with physical disabilities. This presentation will provide an overview of the participatory curriculum development process that engaged a number of stakeholders, including HCPs, to refine the existing CMCL intervention. The steps used in this integrated knowledge translation (KT) approach will be discussed, including the inductive process that led to the selection of the Theory of Planned Behaviour as an underlying theory for the intervention and its subsequent evaluation. The overall findings from CMCL’s nationwide evaluation will be briefly reviewed, with a focus on HCPs’ feedback about the intervention. HCPs’ recall of the Canadian PA guidelines for the general and spinal cord injury populations at pre- and post-intervention, as well as at 1- and 6-month follow-up, will be explored. Finally, lessons learned “behind the scenes” with regards to working with stakeholders, maintaining control of nationwide implementation and data collection, and integrating KT practice with KT science will be shared.Acknowledgments: Work supported by a Mentor-Trainee Capacity Building in Knowledge Mobilization Award from the Ontario Neurotrauma Foundation and Rick Hansen Institute, and study funded by the Social Sciences and Humanities Research Council of Canada. The partnership between the Canadian Paralympic Committee and SCI Action Canada facilitated the re-development, implementation, and evaluation of the Changing Minds, Changing Lives intervention across Canada.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.003
Open science0.0020.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0060.001

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 head0.023
GPT teacher head0.338
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2014
Admission routes2
Has abstractyes

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