The Impact of Provider Choice on Workers' Compensation Costs and Outcomes
Bibliographic record
Abstract
Using survey data collected in 2002 and 2003 in California, Massachusetts, Pennsylvania, and Texas on workers injured 3 to 3.5 years earlier, coupled with information on the associated workers' compensation claims from the Workers Compensation Research Institute, the authors examine how provider choice in workers' compensation is related to costs and to workers' outcomes. They find that employee choice of the provider, by comparison with employer choice, was associated with higher costs and worse return-to-work outcomes. Although the same rate of physical recovery was found for both groups, workers who chose their providers reported higher satisfaction with medical care. The higher costs and worse return-to-work outcomes associated with employee choice arose largely when employees selected a new provider, rather than a provider with whom they had a pre-existing relationship. The findings lend some support to recent policy changes limiting workers' ability to choose a provider with whom they do not have a prior relationship.
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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 | 0.000 |
| 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".