Intradisciplinary Clinical Education for Physiotherapists and Physiotherapist Assistants: A Pilot Study
Bibliographic record
Abstract
PURPOSE: This study investigated the perceived impact of a paired 5-week clinical placement on physiotherapy (PT) and physiotherapist assistant (PTA) students' skills. Students were supervised by a PT clinical instructor (CI), and a collaborative peer-coaching model was used. METHOD: Three pairs of PT and PTA students participated in concurrent paired placements incorporating the concepts of reciprocal peer coaching and the 2:1 model of supervision. Qualitative data were gathered using pre- and post-placement interviews and the participants' journals. RESULTS: The participants reported that using this clinical education model increased their self-directed learning. This outcome was anticipated by the researchers with the incorporation of the 2:1 model of supervision. The post-placement interviews also indicated that there was informal teaching among students, as expected from the integration of reciprocal peer coaching. Participants reported an improvement in the students' competencies in communication, consultation, and assignment of tasks within the physiotherapy team. The students further reported an increase in their confidence with regard to their respective roles and an improvement in their ability to work effectively within the physiotherapy team. CONCLUSION: As indicated by the comments and reviews of the participants, pairing PT and PTA students on clinical placements and incorporating a collaborative peer-coaching model can result in improvements in the students' skills in communication, consultation, and assignment of tasks.
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".