Mapping first‐line health care providers' roles, practices, and impacts on care for workers with compensable musculoskeletal disorders in four jurisdictions: A critical interpretive synthesis
Bibliographic record
Abstract
BACKGROUND: First-line health care providers are the primary access point for workers' benefits. However, little is known about their impact on quality of care and return-to-work. Our objective was to critically compare literature on the practices of first-line providers for workers with musculoskeletal injuries in Ontario and Quebec (Canada), Washington State (United States), and Victoria (Australia). METHODS: A critical interpretive synthesis of peer-reviewed scientific literature was conducted. The search across six databases yielded 59 relevant publications that were critically appraised. RESULTS: Three themes emerged: 1) how policies about first-line health care providers' modulate worker access to care, 2) how these providers' roles, practices, and training shape disability management, and 3) how the quality of care and disability outcomes are evaluated. CONCLUSIONS: First-line health care providers have a critical influence on workers' trajectories of care. A focus on their role while taking the complexity of the context into account will help orient future policy changes.
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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 | 0.050 | 0.138 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.031 | 0.021 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 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".