Rehabilitation professions’ core competencies for entry-level professionals: a thematic analysis
Bibliographic record
Abstract
Rehabilitation services are essential interventions designed to optimize functioning and reduce disability in individuals with health conditions. Eight core professions offer rehabilitation services: audiology, occupational therapy, physical and rehabilitation medicine, physiotherapy, psychology, prosthetics and orthotics, rehabilitation nursing, and speech-language pathology. These professions often work together to provide patient-centered care. Each rehabilitation profession has developed its own international or national document to describe entry-level competencies. However, it is not evident in the literature whether rehabilitation professions share the same core competencies. Therefore, we explored the international standards for rehabilitation professions to identify commonalities and differences in entry-level professionals' required core competencies. A thematic analysis of current, published, international, or national entry-level competencies documents was conducted to determine commonalities and differences in the core competence requirements for the eight rehabilitation professions. The following four themes were evident across all professions: (a) evidence-based clinical practice knowledge and skills; (b) culturally competent communication and collaboration; (c) professional reasoning and behaviors; and (d) interprofessional collaboration. This thematic analysis highlighted the commonalities among rehabilitation professionals and may be used to provide a greater understanding of how rehabilitation professionals can support and work together on interprofessional teams.
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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 | 0.027 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".