Variations in demand and provision for publicly funded outpatient musculoskeletal physiotherapy services across <scp>Q</scp>uebec, <scp>C</scp>anada
Bibliographic record
Abstract
RATIONALE: The prevalence of musculoskeletal disorders is high and expected to increase in the next decade. Persons suffering from musculoskeletal disorders benefit from early physiotherapy services. However, access to publicly funded physiotherapy services has been shown to be compromised by long waiting times and limited availability of resources in many countries around the world. Decisions on resource allocation may create geographic disparities in provision and access to services, which may result in inequity in access. AIMS AND OBJECTIVES: This study aimed to assess variations in demand and provision of publicly funded outpatient physiotherapy services across the province of Quebec, Canada, as well as to assess the demand to provision relationship. METHODS: We conducted a secondary analysis of data retrieved from the 2008 Quebec Health Survey and data obtained from a survey of hospitals in the province of Quebec in 2015. We used geographic information systems analyses and descriptive analyses to assess geographic variations and the relationship between demand and provision. RESULTS: Our results indicate substantial variations in the provision and demand for physiotherapy services in the province of Quebec. The variations in service provision did not follow the variations in demand. Long waiting times and insufficient provision of services were found in many regions. CONCLUSIONS: The variations in provision of physiotherapy services between regions reported in our study did not correspond to the variations in demand. Such geographic variations and demand to provision mismatches may create inequity in access to services, especially for those unable to afford private services.
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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 | 0.013 | 0.108 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 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".