Therapists to Therapy Assistants: Experiences of Internationally Educated Physiotherapists and Occupational Therapists
Bibliographic record
Abstract
Background: In Canada, internationally educated physiotherapists (IEPTs) and occupational therapists (IEOTs) may work as occupational/physical therapy assistants (OTAs/PTAs) while pursuing Canadian licensure. This experience presents personal and professional opportunities and challenges. Purpose: We explored a) the barriers and facilitators experienced by IEPTs and IEOTs working as OTAs/PTAs while pursuing licensure in Canada and b) how might their professional identity changes during this period. Methods: In this cross-sectional qualitative study, we sampled IEPTs and IEOTs working as assistants using online focus groups. Reflexive thematic analysis of data was used to generate themes. Findings: Fourteen IEPTs or IEOTs participated reporting barriers including financial impacts while working as an OTA/PTA, discrimination, and challenges completing licensing exams. Facilitators while working as OTA/PTAs included social support, acculturation with Canadian systems, and career opportunities. Changes to professional identity encompassed accepting a new identity, reclaiming their old identity, or having a strong sense of identity within a healthcare profession. Participants advocated for bridging programs and modifications for examination processes for IEPTs and IEOTs to improve their experiences while pursuing licensure in Canada. Conclusion: Increased advocacy is needed to address the current experiences of IEPTs and IEOTs working as OTA/PTAs after migration.
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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 | 0.007 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".