A telephonic intervention for promoting occupational re-integration in work-disabled individuals with musculoskeletal pain
Bibliographic record
Abstract
The purpose of the present research was to examine the feasibility of a telephonic occupational rehabilitation program. A sample of 23 individuals with chronic musculoskeletal pain was enrolled in the telephonic version of the Progressive Goal Attainment Program (PGAP-Tel). The PGAP-Tel is a risk-targeted intervention designed to reduce pain-related disability consequent to musculoskeletal injury. Treatment outcomes of PGAP-Tel were compared to a group of individuals with chronic musculoskeletal pain, who participated in the face-to-face format of the PGAP. Results showed that PGAP-Tel was acceptable to the majority of participants (76%) to whom it was offered. There were indications that engagement and adherence issues were more problematic in PGAP-Tel than in the face-to-face intervention. Both groups showed comparable reductions in pain, depression, fear of symptom exacerbation, and self-reported disability. Participants in the face-to-face intervention showed greater reduction in catastrophic thinking than participants in PGAP-Tel. Finally, 26% of participants in PGAP-Tel had resumed some form of employment at treatment termination compared to 56% of the participants in the face-to-face intervention. Given the low cost of the PGAP-Tel intervention and the accessibility advantages of a telephonic delivery, this type of intervention might be an important resource for targeting occupational disability in rural or remote communities when face-to-face services are not available.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".