Association between physiotherapy utilization and medical healthcare utilization and costs in adults with back pain from Ontario, Canada: a population-based cohort study
Bibliographic record
Abstract
ABSTRACT: This study examined the association between physiotherapy utilization and subsequent medical healthcare utilization and costs in a population-based sample of adults with back pain in Ontario. We conducted a population-based cohort study of Ontario respondents with back pain (≥18 years) of the Canadian Community Health Survey 2003 to 2010 cycles, linked to health administrative data up to 2018. Physiotherapy utilization was defined as self-reported consultation with a physiotherapist in the past 12 months. A propensity score-matched cohort was conducted to match adults with and without physiotherapy utilization, accounting for potential confounders. We assessed associations using negative-binomial and linear (log-transformed) regression to evaluate outcomes of healthcare utilization (back pain-specific and all-cause) and costs, respectively, at 1- and 5-year follow-up. There were 4343 pairs of matched respondents. Compared with those who did not receive physiotherapy, adults who received physiotherapy were more likely to have back pain-specific physician visits (RR women (5years) = 1.48, 95% CI 1.24-1.75; RR men (5years) = 1.42, 95% CI 1.10-1.84). Women who received physiotherapy had 1.11 times the rate of all-cause physician visits (RR 1year = 1.11, 95% CI 1.02-1.20), and men who received physiotherapy had 0.84 times the rate of all-cause hospitalizations (RR 5years = 0.84, 95% CI 0.71-0.99) than those who did not. There was no association between physiotherapy utilization and healthcare costs. Adults with back pain who received physiotherapy are more likely to have back pain-specific physician visits up to 5-year follow-up than those who did not. Physiotherapy utilization is linked to some sex-based differences in all-cause healthcare utilization but not differences in costs. Findings inform interprofessional collaboration and allied healthcare delivery for back pain in Ontario.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".