Knowledge translation in physical therapy: from theory to practice
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.
Bibliographic record
Abstract
PURPOSE: Knowledge translation (KT) has emerged as a concept that can lead to a greater utilization of evidence-based research in systems of care. Despite a rise in KT research, the literature on KT in relation to physical therapy practice is scarce. This article provides physical therapists (PTs) with recommendations that can support the effective implementation of new knowledge and scientific evidence in clinical practice. METHOD: Recommendations are grounded in the Ottawa Model of Research Use and in the literature in KT in the health professions. RESULTS: A well-established KT process, which is supported by a planning model, is essential to guide the implementation of scientific evidence. Consensus among all stakeholders about what evidence will be implemented must be reached. Context-related barriers and facilitators should be assessed and tailored active and multi-component interventions should be considered. Participation from individuals in intermediary positions (e.g. opinion leaders) supports implementation of KT interventions. Monitoring of the process and assessment of intended outcomes should be performed in order to assess the success of the implementation. CONCLUSION: Five major recommendations grounded in the Ottawa model are provided that can assist PTs with the complex task of implementing new knowledge in their clinical practice. IMPLICATIONS FOR REHABILITATION: In order to support EBP, knowledge translation interventions can be used to support best practice. Implementation of new knowledge should be guided by a framework or a conceptual model. Consensus on the evidence must be reached and assessment of context-related factors should be done prior to the implementation of any KT intervention. Intervention strategies should be active, multi-component and include individuals with intermediary positions that can facilitate the KT process.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it