Accessing Timely Rehabilitation Services for a Global Aging Society? Exploring the Realities within Canadas Universal Health Care System
Bibliographic record
Abstract
The proportion of older persons is increasing in developed and developing countries: this aging trend can be viewed as a two-edged sword. On the one hand, it represents remarkable successes regarding advances in health care; and on the other hand, it represents a considerable challenge for health systems to meet growing demand. A growing disequilibrium between supply and demand may be particularly challenging within publicly funding health systems that 'guarantee' services to eligible populations. Rehabilitation, including physical therapy, is a service that if provided in a timely manner, can maximize function and mobility for older persons, which may in turn optimize efficiency and effectiveness of overall health care systems. However, physical therapy services are not considered an insured service under the legislative framework of the Canadian health system, and as such, a complex public/private mix of funding and delivery has emerged. In this article, we explore the consequences of a public/private mix of physical therapy on timely access to services, and use the World Health Organization (WHO) health system performance framework to assess the extent to which the emerging system influences the goal of aggregated and equitable health. Overall, we argue that a shift to a public/private mix may not have positive influences at the population level, and that innovative approaches to deliver services would be desirable to strengthening rather than weaken the publicly funded system. We signal that strategies aimed at scaling up rehabilitation interventions are required in order to improve health outcomes in an evolving global aging society.
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 | 0.016 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".