Universal No-fault Compensation is Associated With Improved Return to Work Rates in Spine Fusion
Bibliographic record
Abstract
In Brief Study Design. Retrospective cohort study and systematic literature review. Objective. To examine the influence of “universal no-fault compensation” upon return-to-work rates in patients undergoing lumbar spinal fusion, and then to make comparison with workers' compensation (WC) and non-workers' compensation (non-WC) claimants. Summary of Background Data. Compensation has an adverse influence upon outcomes and return to work in lumbar spinal fusion. It is unclear whether this is due to the compensation per se, or due to the features of WC including its adversarial environment, delayed resolution of claims, and need for disability enhancement to promote compensation. The New Zealand Accident Compensation Corporation (ACC) is a universal no-fault system offering early treatment and salary reimbursement. Given the differing features of these compensation systems, comparison of return-to-work rates may give insight into the differing outcomes for the two compensation systems. Methods. From a cohort of 428 patients undergoing lumbar spinal fusion, 178 patients covered by ACC system underwent a structured interview to determine pre-injury, pre-surgical, and post-surgical work status. A systematic literature review was performed relating to lumbar spine fusion, return to work, and WC. Results. The return-to-work rate for the ACC patients in work at the time of their injury was 81%. The systematic review of 21 studies including 2519 subjects revealed a return-to-work rate of 40% for WC patients, and 74% for non-WC patients (P < 0.001). There was a significantly greater return-to-work rate for ACC patients than WC patients (P < 0.001), but no difference between ACC and non-WC patients. Conclusion. The return-to-work rates for a universal no-fault compensation system are higher than those under WC cover, and are compatible with non-WC cases. This suggests that the features of WC may contribute to the inferior return-to-work rates. Level of Evidence: 3 Patients undergoing lumbar spinal fusion under a universal no-fault compensation system attained 81% return to work. Systematic literature review reveals return-to-work rates of 40% for workers' compensation, and 74% for nonworkers' compensation. The adversarial environment, delayed resolution, and incentives for prolonged disability may reduce return-to-work rates.
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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 | 0.009 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".