Perspectives of health care professionals on the facilitators and barriers to the implementation of a stroke rehabilitation guidelines cluster randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: The Stroke Canada Optimization of Rehabilitation by Evidence Implementation Trial (SCORE-IT) was a cluster randomized controlled trial that evaluated two knowledge translation (KT) interventions for the promotion of the uptake of best practice recommendations for interventions targeting upper and lower extremity function, postural control, and mobility. Twenty rehabilitation centers across Canada were randomly assigned to either the facilitated or passive KT intervention. The objective of the current study was to understand the factors influencing the implementation of the recommended treatments and KT interventions from the perspective of nurses, occupational therapists and physical therapists, and clinical managers following completion of the trial. METHODS: A qualitative descriptive approach involving focus groups was used. Thematic analysis was used to understand the factors influencing the implementation of the recommended treatments and KT interventions. The Clinical Practice Guidelines Framework for Improvement guided the analysis. RESULTS: Thirty-three participants were interviewed from 11 of the 20 study sites (6 sites from the facilitated KT arm and 5 sites from the passive KT arm). The following factors influencing the implementation of the recommended treatments and KT interventions emerged: facilitation, agreement with the intervention - practical, familiarity with the recommended treatments, and environmental factors, including time and resources. Each of these themes includes the sub-themes of facilitator and/or barrier. Improved team communication and interdisciplinary collaboration emerged as an unintended outcome of the trial across both arms in addition to a facilitator to the implementation of the treatment recommendations. Facilitation was identified as a facilitator to implementation of the KT interventions in the passive KT intervention arm despite the lack of formally instituted facilitators in this arm of the trial. CONCLUSIONS: This is one of the first studies to examine the factors influencing the implementation of stroke recommendations and associated KT interventions within the context of a trial. Findings highlight the important role of self-selected facilitators to implementation efforts. Future research should seek to better understand the specific characteristics of facilitators that are associated with successful implementation and clinical outcomes, especially within the context of stroke rehabilitation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.356 | 0.410 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".