The Predictive Validity of the Return-to-Work Self-Efficacy Scale for Return-to-Work Outcomes in Claimants with Musculoskeletal Disorders
Bibliographic record
Abstract
PURPOSE: To examine the predictive validity of the Return-to-Work Self-Efficacy (RTWSE) Scale in terms of the scale's baseline absolute values and of changes in self-efficacy scores, with the outcome of return-to-work (RTW) status in a sample of injured workers with upper extremity and back musculoskeletal disorders. METHODS: RTWSE was measured with a 10-item scale assessing Overall RTWSE and three self-efficacy subdomains: (1) ability to cope with pain, (2) ability to obtain help from supervisor and (3) ability to obtain help from co-workers. Outcome measures included RTW status (yes/no) measured at 6- and 12-month follow-up. RTWSE improvement was defined as an increase in self-efficacy scores between baseline and 6-month follow-up time points. Logistic regression analyses were performed with RTW status as the dependent variable and adjusted for age, gender, educational level, personal income, pain site, pain severity, functional status, and depressive symptoms, and for baseline RTWSE scores in the improvement score analyses. RESULTS: A total of 632 claimants completed the baseline telephone interview 1 month post-injury; 446 subjects completed the 6-month interview (71 %) and 383 subjects completed the 12-month interview (61 %). The baseline Pain RTWSE scores were found to be useful to predict RTW status 6 months post-injury, with a trend for baseline Overall RTWSE. Improvements over time in Overall RTWSE and in Co-worker RTWSE were found to be useful to predict 12-month RTW status, with trends for improvements in Supervisor RTWSE and Pain RTWSE. CONCLUSION: The study found evidence supporting the predictive validity of the RTWSE scale within 12 months after injury. The RTWSE scale may be a potentially valuable scale in research and in managing work disabled claimants with musculoskeletal disorders.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".