Workers’ characteristics associated with the type of healthcare provider first seen for occupational back pain
Bibliographic record
Abstract
BACKGROUND: Few studies have compared the factors that drive patients' decision to choose a chiropractor, physician or physiotherapist as their first healthcare provider for occupational back pain. The purpose of this study is to identify characteristics associated with the choice of first healthcare provider seen for acute uncomplicated occupational back pain. METHODS: We analyzed data collected by the Workplace Safety and Insurance Board from a cohort of workers with compensated back pain in 2005 in Ontario (Canada). Multivariable logistic regression models were created to identify factors associated with the type of first healthcare provider seen (chiropractor, physician, or physiotherapist). Adjustments to the final models were evaluated using the area under the receiver-operating characteristics curve (ROC). RESULTS: According to the 5520 analyzed claims, 85.3 % of the patients saw a physician, 11.4 % saw a chiropractor, and 3.2 % saw a physiotherapist. Longer job tenure (odds ratio (OR) = 1.02, P = 0.004), higher gross personal income (OR = 1.06, P = 0.018), mixed-manual job (OR = 1.35, P = 0.004) and previous similar injury (OR = 1.60, P < 0.001) increased the odds of seeing a chiropractor rather than a physician, while the size of the community (>500,000 inhabitants) and the availability of an early return to work program in the workplace (OR = 0.77, P = 0.035) decreased it. The odds of seeing a physiotherapist rather than a physician increased with increasing age (OR = 1.19, P = 0.019), previous similar injury (OR = 1.71, P < 0.001) and severity of injury (OR = 2.03, P = 0.010). Increased age (OR = 1.28, P = 0.008) and size of community (>1,500,000 inhabitants; OR = 2.58, P = 0.002) increased the odds of seeing a physiotherapist rather than a chiropractor, while holding a mixed-manual job significantly decreased those odds (OR = 0.63, P = 0.044). The area under the ROC curve of our multivariable models varied from 0.62 to 0.64. CONCLUSION: The type of first healthcare provider sought for occupational back pain is influenced by injury-and work-related factors and by the worker's age, income and community size. Contrary to previous studies, the workers who first sought a physician did not have higher odds of having a severe injury.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".