A physiotherapy triage assessment service for people with low back disorders: evaluation of short-term outcomes
Bibliographic record
Abstract
PURPOSE: To determine the short-term effects of physiotherapy triage assessments on self-reported pain, functioning, and general well-being and quality of life in people with low back-related disorders. METHODS: Participants with low back-related complaints were recruited from those referred to a spinal triage assessment program delivered by physiotherapists (PTs). Before undergoing the triage assessment, the participants completed a battery of questionnaires covering a range of sociodemographic, clinical, and psychosocial features. The study used the Numeric Pain Rating Scale (NPRS), the Oswestry Disability Index (ODI), and the Medical Outcomes Survey 36-item short-form version 2 (SF-36v2) to assess self-reported pain, function, and quality of life. Baseline measures and variables were analyzed using a descriptive analysis method (ie, proportions, means, medians). Paired samples t-tests or Wilcoxon matched-pair signed-rank tests were used to analyze the overall group differences between the pretest and posttest outcome measures where appropriate. RESULTS: A total of 108 out of 115 (93.9%) participants completed the posttest survey. The Physical Component Summary of the SF36v2 was the only measure that demonstrated significant improvement (P < 0.001). CONCLUSION: A spinal triage assessment program delivered by PTs can be viewed as a complex intervention that may have the potential to affect a wide range of patient-related outcomes. Further research is needed to examine the long-term outcomes and explore potential mechanisms of improvement using a biopsychosocial framework.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 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".