Work hardening: Outdated fad or effective intervention?
Bibliographic record
Abstract
OBJECTIVES: The purpose of this outcome measurement study was to determine the effectiveness of a work hardening program as measured by the participants' work status at three months after program completion. Predictors of successful return to work were explored. STUDY DESIGN: The sequential case series design was employed, and data were gathered at three points: the initial work hardening assessment, the discharge assessment, and three months post-discharge from the work hardening program. Seventy-nine participants were included. RESULTS: Eighty-two percent (82%) of the clients who completed a work hardening program reported that they were working in some capacity three months after program completion. They listed their employment status in 5 sub-categories. Significant predictors of employment included "single" marital status, lower perceived disability scores at program entry, reduction in reported pain during program duration, and funding source. CONCLUSION: Work hardening remains an effective treatment strategy which promotes successful return to the workplace. Ongoing analyses of these programs is imperative.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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; both teacher heads agree on what is shown here.
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".