Direct‐access physiotherapy to help manage patients with musculoskeletal disorders in an emergency department: Results of a randomized controlled trial
Bibliographic record
Abstract
OBJECTIVES: The objective was to evaluate the effects of direct-access physiotherapy on patients presenting with a musculoskeletal disorder (MSKD) to the emergency department (ED) on clinical outcomes and use of health care resources. METHODS: We conducted a randomized controlled trial in an academic ED in Québec City, Canada. We included patients aged 18 to 80 years with minor MSKD. The intervention group had direct access to a physiotherapist (PT) in the ED immediately after triage and prior to physician assessment, and the control group received usual care by the emergency physician without PT intervention. The key variables included clinical outcomes (pain, interference of pain on function) and resources use (ED return visit, medications, diagnostic tests, additional consultations). They were analyzed using descriptive statistics and compared between groups using two-way analyses of variance, log-linear analysis, and chi-square tests. RESULTS: Seventy-eight patients suffering from MSKDs were included (40.2 ± 17.6 years old; 44% women). For the primary clinical outcome, participants in the PT group (n = 40) had statistically lower levels of pain and pain interference at 1 and 3 months. In terms of resource use, participants in the PT group returned significantly less often to the ED. At baseline and 1 month, less prescription medication was used, including opioids, but there were no differences at 3 months. Although over-the-counter medication was recommended more at baseline in the PT group, there were no differences in use at 1 month, and the PT group had used them less at 3 months. There were no differences between groups at follow-up for imaging tests, other professionals consulted, and hospitalization rates. CONCLUSION: Patients presenting with a MSKD to the ED with direct access to a PT had better clinical outcomes and used less services and resources than those in the usual care group after ED discharge and up to 3 months after discharge.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".