Evaluation of a community of practice for speech-language pathologists in aphasia rehabilitation: a logic analysis
Bibliographic record
Abstract
BACKGROUND: Aphasia is a communication disorder affecting participation. Although there are evidence-based practice recommendations about participation and aphasia rehabilitation, it may be challenging for speech-language pathologists to ensure that rehabilitation activities have an impact on the person's participation, in part due to time limitations. Participation remains limited after rehabilitation for persons who have aphasia. Communities of practice (CoPs) are a collaborative knowledge transfer strategy that can be used for evidence-based practice implementation. The aim of this study was to describe the components and evaluate a CoP for speech-language pathologists about participation and aphasia rehabilitation. METHODS: Logic analysis was used to determine the adequacy between resources, implemented activities, outputs and short-term outcomes of the CoP. Qualitative and quantitative descriptive data were collected through observation and participants' logbooks. Outputs and outcomes of the CoP were revealed through thematic analysis and interpretation of descriptive statistics. RESULTS: Resources including CoP design and educational aims, human and material resources were combined to create various web-based, online and offline activities. Participants invested more time per week than expected in the CoP, shared and created clinical tools and appreciated the array of suggested activities. Participant engagement allowed them to reflect, interact and collaborate with each other. All 13 participants reported they acquired knowledge about clinical tools and 12 mentioned they reflected on their practice. While the CoP was ongoing, six participants noticed evidence-practice gaps, seven prepared to change their practice, and three changed their practice towards including more participation-based considerations. CONCLUSIONS: This study showed that speech-language pathologists can include more participation-based approaches in aphasia rehabilitation as a result of participating in a time-bound, web-based CoP.
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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 | 0.061 | 0.122 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.006 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".