Exploring Wait List Prioritization and Management Strategies for Publicly Funded Ambulatory Rehabilitation Services in Ontario, Canada: Further Evidence of Barriers to Access for People with Chronic Disease
Bibliographic record
Abstract
BACKGROUND: Timely access to publicly funded health services is a priority issue across the healthcare continuum in Canada. The purpose of this study was to examine wait list management strategies for publicly funded ambulatory rehabilitation services in Ontario, Canada. METHODS: Ambulatory rehabilitation services were defined as community occupational therapy (OT) and physiotherapy (PT) services. A mailed self-administered questionnaire was sent to all 374 Ontario publicly funded sites. Descriptive statistics were used to explore management strategies. RESULTS: The response rate was 57.2%. Client acuity was the most common method used to prioritize access across all settings. The most frequently reported methods to manage wait lists included teaching self-management strategies (85.0%), implementing attendance policies (69.5%) and conducting wait list audits (67.3%). CONCLUSION: Ambulatory rehabilitation settings have implemented a number of strategies for wait list management. The results of this study suggest that an increasing number of Ontarians encounter barriers when accessing publicly funded ambulatory rehabilitation services.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".