Psychologically Based Occupational Rehabilitation: The Pain-Disability Prevention Program
Bibliographic record
Abstract
OBJECTIVES: To describe the development, implementation, and preliminary outcome of the Pain-Disability Prevention (PDP) Program. The PDP Program is a 10-week cognitive-behavioral intervention program that aims to increase daily involvement in goal-directed activity and minimize psychological barriers to activity involvement after occupational injury. Workers' Compensation Board claimants with soft tissue injuries to the back, who were still off work 6 weeks after injury and showed evidence of at least one "yellow flag," were offered participation in the PDP Program. DESIGN: A single-group, prospective treatment outcome analysis. PARTICIPANTS: Data from the first 104 claimants who participated in the PDP Program are summarized. RESULTS: Participation in the PDP Program was associated with a 60% success rate, where success was defined as return to work (45%) or readiness to return to work (15%). Initial scores on measures of catastrophizing, fear of movement/reinjury, and depression afforded 92% correct classification of treatment outcome. Early treatment changes in catastrophizing and fear of movement/reinjury were also predictive of treatment outcome. CONCLUSIONS: The findings suggest that a psychologically based activity mobilization program can be an effective means of yielding reductions in psychological risk factors for occupational disability. Challenges to program implementation, fidelity to protocol, and issues related to cost efficacy are discussed.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".