Treating physicians' perceptions of barriers to return to work of their patients in Southern Ontario
Bibliographic record
Abstract
AIMS: The aim of this paper is to understand the treating physician's perspective with respect to the barriers that their patients face returning to work from injury and illness. METHODS: The methodology used was focus groups conducted in Southern Ontario with treating physicians. RESULTS: The main barrier identified by the treating physicians in the return to work process was the lack of accommodated work. The main areas identified for the use of additional resources was facilitated investigations, assessments and treatments for their patients and education and training for treating physicians. With respect to communication, physicians indicated that they wanted to know more about the work to which their patients were returning. CONCLUSIONS: Treating physicians believe that the most significant barriers for the timely return to work for their patients exist in the workplace, specifically related to lack of knowledge about appropriate modified work. The treating physicians' role in the return to work process is demanding due to insufficient time to deal with return to work issues, lack of training, not enough of the appropriate information and the treating physicians' role ambiguity.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 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".