Injury Characteristics, Psychological Symptomatology, and Pain-Related Disability in Workers' Compensation Claimants: The Mediating Role of Case Manager Interactions
Bibliographic record
Abstract
Abstract Purpose Facing difficulties related to the workers’ compensation process has the potential to negatively impact the psychological health of occupational injury claimants and may hinder recovery and return-to-work outcomes. This research investigates how the relationship between physical injury characteristics and claimants’ perceptions of their interactions with case managers impact psychological symptomatology and pain-related disability. It was anticipated that case-manager interactions would mediate the relationship between chronic pain and pain-related disability through their impact on depression, anxiety, and stress. Additionally, it was posited that case manager interactions would mediate the relationships between injury type/visibility and psychological health. Methods A cohort of 210 compensation claimants from British Columbia, Canada, completed the Graded Chronic Pain Scale-Revised (GCPS-R); the Interpersonal Justice (INTPJ) and Informational Justice (INFOJ) subscales of the Perceived Justice of Compensation Process Scale; the Depression, Anxiety, and Stress Scales 21-item (DASS); the Pain Disability Index (PDI) and a demographic and claim information questionnaire. Results After controlling for potential confounds, bootstrapped multiple mediation analysis revealed that perceived justice and DASS collectively mediate the relationship between GCPS-R and PDI: INTPJ (bi* = 0.06, BCa CI [0.02, 0.12]), INFOJ (bi* = 0.08, BCa CI [0.02, 0.15]). Further, the relationship between injury visibility and psychological health is mediated by INTPJ (bi* = 0.45, BCa CI [0.23, 0.70]) and INFOJ (bi* = 0.38, BCa CI [0.17, 0.63]). Conclusions These findings suggest that claims involving complex conditions are associated with poorer interactions between claimants and case managers, which magnifies psychological distress and pain-related disability.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".