Workplace involvement improves return to work rates among employees with back pain on long-term sick leave: a systematic review of the effectiveness and cost-effectiveness of interventions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Long-term sickness absence among workers is a major problem in industrialised countries. The aim of the review is to determine whether interventions involving the workplace are more effective and cost-effective at helping employees on sick leave return to work than those that do not involve the workplace at all. METHODS: A systematic review of controlled intervention studies and economic evaluations. Sixteen electronic databases and grey literature sources were searched, and reference and citation tracking was performed on included publications. A narrative synthesis was performed. RESULTS: Ten articles were found reporting nine trials from Europe and Canada, and four articles were found evaluating the cost-effectiveness of interventions. The population in eight trials suffered from back pain and related musculoskeletal conditions. Interventions involving employees, health practitioners and employers working together, to implement work modifications for the absentee, were more consistently effective than other interventions. Early intervention was also found to be effective. The majority of trials were of good or moderate quality. Economic evaluations indicated that interventions with a workplace component are likely to be more cost effective than those without. CONCLUSION: Stakeholder participation and work modification are more effective and cost effective at returning to work adults with musculoskeletal conditions than other workplace-linked interventions, including exercise.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it