Knowledge translation in ABI rehabilitation: A model for consolidating and applying the evidence for cognitive-communication interventions
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
PRIMARY OBJECTIVES: (1) To propose a model for consolidating and disseminating existing evidence relevant to cognitive-communication interventions after ABI. (2) To present the Cognitive-Communication Intervention Review Framework (CCIRF). (3) To outline future considerations for applying evidence to clinical practice. RESEARCH DESIGN: Employment of a model for knowledge translation. METHODS AND PROCEDURES: Application of evidence requires synthesis and dissemination of information in an accessible format for end users. A literature search identified 20 systematic reviews (1997-2007) with a complex array of 72 practice recommendations relevant to cognitive-communication interventions. The CCIRF was used to synthesize the evidence within 11 intervention categories. Reviews were analysed according to: organization, population, intervention, comparison and outcome, with a focus on communication outcomes. MAIN OUTCOMES AND RESULTS: Consolidated evidence revealed support for interventions relating to: social communication, behavioural regulation, verbal formulation, attention, external memory aids, executive functions and communication partner training. Research gaps were noted in the areas of comprehension (auditory/reading), written expression and vocational communication interventions. Similar recommendations emerge across reviews. CONCLUSIONS: Implementation of the growing body of evidence for cognitive-communication interventions is challenged by variability in study populations, interventions, and research focus on communication. The CCIRF provides a means of promoting consistency in knowledge translation and application.
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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 | 0.002 | 0.016 |
| 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 | 0.000 |
| 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