Spinal pain patients seeking care in primary care and referred to physiotherapy: A cross-sectional study on patients characteristics, referral information and physiotherapy care offered by general practitioners and physiotherapists in France
Bibliographic record
Abstract
OBJECTIVES: To describe spinal pain patients referred by their treating general practitioners to physiotherapy care, examine to which extent physiotherapy interventions proposed by general practitioners and physiotherapists were compliant to evidence based recommendations, and evaluate concordance between providers in terms of diagnosis and contraindications to physiotherapy interventions. METHODS: This study included spinal pain patients recruited from a random sample of sixty French physiotherapists. Physiotherapists were asked to supply patients' physiotherapy records and characteristics from the general practitioner's physiotherapy referral for the five new consecutive patients referred to physiotherapy. General practitioner's physiotherapy referral and physiotherapists' clinical findings characteristics were analyzed and compared to evidence-based recommendations using Chi-squared tests. Cohen's kappas were calculated for diagnosis and contraindications to physiotherapy interventions. RESULTS: Three hundred patients with spinal pain were included from sixty physiotherapists across France. The mean age of the patients was 48.0 ± 7.2 years and 53% were female. The most common spinal pain was low back pain (n = 147). Diagnoses or reason of referral formulated by general practitioners were present for 27% of all patients (n = 82). Compared to general practitioners, physiotherapists recommended significantly more frequently recommended interventions such as education, spinal exercises or manual therapy. General practitioners prescribed significantly more frequently passive physiotherapy approaches such as massage therapy and electrotherapy. The overall proportion of agreement beyond chance for identification of a diagnosis or reason of referral was 41% with a weak concordance (κ = 0.19; 95%CI: 0.08-0.31). The overall proportion of compliant physiotherapists was significantly higher than for general practitioners (76.7% vs 47.0%; p<0.001). CONCLUSIONS: We found that information required for the referral of spinal pain patients to physiotherapy is often incomplete. The majority of general practitioners did not conform to evidence-based recommendations in terms of prescribed specific physiotherapy care; in contrast to a majority of physiotherapists. TRIAL REGISTRATION: ClinicalTrials.gov: NCT04177121.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".