Scope of practice review: providers for triage and assessment of spine-related disorders
Bibliographic record
Abstract
PURPOSE: This study explored which health care providers could be involved in centralized intake for patients with nonspecific low back pain to enhance access, continuity, and appropriateness of care. METHODS: We reviewed the scope of practice regulations for a range of health care providers. We also conducted telephone interviews with 17 individuals representing ten provincial colleges and regulatory bodies to further understand providers' legislated scopes of practice. Activities relevant to triaging and assessing patients with low back pain were mapped against professionals' scope of practice. RESULTS: Family physicians and nurse practitioners have the most comprehensive scopes and can complete all restricted activities for spine assessment and triage, while the scope of registered nurses and licensed practical nurses are progressively narrower. Chiropractors, occupational therapists, physiotherapists, and athletic therapists are considered experts in musculoskeletal assessments and appear best suited for musculoskeletal specific assessment and triage. Other providers may play a complementary role depending on the individual patient needs. CONCLUSION: These findings indicate that an interprofessional assessment and triage team that includes allied health professionals would be a feasible option to create a centralized intake model. Implementation of such teams would require removing barriers that currently prevent providers from delivering on their full scope of practice.
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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 | 0.240 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".