Autonomy-hindering scope for physiotherapy practice in African countries: Results of creatures and antinomies of regulatory laws
Bibliographic record
Abstract
BACKGROUND: Healthcare professionals in different countries are governed by laws and statutes for their scopes of practice to ensure that services are rendered by suitably licenced and qualified professionals in order to protect the public. A few of these laws are found to paradoxically hinder the autonomy of physiotherapy. OBJECTIVE: My article documents the autonomy-hindering scope for physiotherapy practice in selected African countries. METHOD: The methodologies used in my article were both a review and comparative approach for the interpretation of statutes. RESULTS: Three African countries presented a clear legal definition of physiotherapy in their regulatory frameworks and regulated other rehabilitation professions as well. In my article, these regulations are referred to as 'combo regulations'. The rationale for 'combo regulations' is not clear and found to hinder professional autonomy. Only one statute from Rwanda provided a scope for physiotherapy that was not autonomy-hindering. CONCLUSION: There is, therefore, a need for urgent review of most laws regulating physiotherapy in the selected African countries to assist with the duty of protecting the public. All autonomy-hindering scopes for physiotherapy practice in African countries should be repealed and amended accordingly. CLINICAL IMPLICATIONS: A clear scope shall assist with protecting the public and clinical practice and clearly states 'what physiotherapy is and what it is not'.
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 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 | 0.018 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 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".