Bibliographic record
Abstract
BACKGROUND: With an increasing prevalence of low back pain, management can include modified work, work-conditioning, or work-hardening programs. Modified work programs, or employer's worksite interventions or clinic-based programs under medical supervision, provide a gradual increase of workload. Work-conditioning programs, or unimodal physical conditioning and function activities, promote return to work. Work-hardening programs, or graded work simulations and psychological interventions, are used as part of an interdisciplinary program addressing physical and functional needs. OBJECTIVE: The objective of the review was to determine how effective modified work programs, work hardening, and work conditioning are in the management of chronic pain disability. METHODOLOGY: The literature search identified two systematic literature reviews to provide the evidence about these interventions for disability management. RESULTS: Studies of work conditioning showed methodological variability, heterogeneous subjects, variable definitions of modified work, and limited outcome measures. Using return-to-work outcomes, 8 of the 11 studies of adequate methodological quality reported positive effects of modified work programs, mostly light duty. For work conditioning and work hardening, studies showed methodological variability combined with heterogeneous subjects, including varying times out of work and varying work ethics from different countries. Most study results were uncertain, though results of three of the four medium-quality studies were positive. CONCLUSIONS: Modified work programs may improve return-to-work rates of workers with work-related injuries for 6 months or longer (level 2). There is inadequate evidence (level 4a) to determine what particular aspects of modified work programs are helpful. Work conditioning and work hardening may or may not improve the return to work of more chronically disabled workers (level 4b).
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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 | 0.004 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 0.005 |
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".