Shifting the Public-Private Mix: A Policy Analysis of Physical Therapy Funding in Ontario
Bibliographic record
Abstract
Purpose: Physical therapy (PT) services across Canada are funded through a mix of public and private sources; this mix varies widely and appears to be shifting over time. The purpose of this research was to develop a conceptual framework for documenting and analyzing the public-private mix of funding in Ontario. Methods: Policy case study methodology was used and included triangulation of primary (key informant interviews) and secondary data sources (review of the literature and available documents). Results: We identified three broad categories or tiers for PT funding in Ontario: (1) public, (2) quasipublic, and (3) private. Within these tiers, there are multiple funding streams ranging from global budgets in hospitals to private out-of-pocket payments. Conclusions: Our findings suggest that multiple funding streams, along with significant variation in how clients access PT services and what services physical therapists can provide within each stream, result in a highly fractured and complex public/private funding system, which may have implications for cost, quality, and access.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".