Patient and referring health care provider satisfaction with a physiotherapy spinal triage assessment service
Bibliographic record
Abstract
PURPOSE: To evaluate participant and referring care provider satisfaction associated with a spinal triage assessment service delivered by physiotherapists in collaboration with orthopedic surgeons. METHODS: People with low back-related complaints were recruited from those referred to a spinal triage assessment program delivered by physiotherapists. Measures of patient and provider satisfaction were completed at approximately 4 weeks after the assessment. The satisfaction surveys were analyzed quantitatively with descriptive statistics and qualitatively with an inductive thematic approach of open and axial coding. RESULTS: A total of 108/115 participants completed the posttest satisfaction survey. Sixty-six percent of participants were "very satisfied" with the service and 55% were "very satisfied" with the recommendations that were made. Only 18% of referring care providers completed the satisfaction survey and 90.5% of those were "very satisfied" with the recommendations. Sixty-one participants and 14 care providers provided comments which revealed a diverse range of themes which were coded into positive (ie, understanding the problem, communication, customer service, efficiency, and management direction), negative (ie, lack of detail, time to follow-up, cost) and neutral related to the triage service, and an "other" category unrelated to the service (ie, chronic symptoms, comorbidities, and limited access to health care.) CONCLUSION: The quantitative results of the participant survey demonstrated very high levels of satisfaction with the service and slightly less satisfaction with the recommendations that were made. Satisfaction of referring care providers with the recommendations and report was also high, but given the low response rate, these results should be interpreted with caution. Qualitative analysis of participant and provider comments revealed a diverse range of themes. These other issues may be important contextual factors that have the potential to impact patient relevant outcomes.
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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 | 0.008 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".