The economic burden of posttraumatic stress disorder among Canadian lawyers: an exploratory study
Bibliographic record
Abstract
Witnessing traumatic material is common for lawyers and can trigger symptoms of posttraumatic stress disorder (PTSD). This exploratory study aimed to assess the economic burden associated with probable PTSD (determined by a cut-off score on the PCL-5), among a convenience sample of Canadian lawyers. A group of 159 lawyers completed a longitudinal online survey. Participants were also classified as having incident, persistent, remitted, or no probable PTSD. Societal costs included direct, indirect, and patient costs. Past year health services use, physician fees, prescription medications, loss of productivity at work, medical leave, time lost due to medical visits, and fees paid to mental health and other professionals not covered by the universal health care plan in Canada were considered. Lawyers with probable PTSD incurred significantly higher costs than those without PTSD for loss of productivity at work ($62,105 vs $15,847) and, specifically among lawyers in private practice, for billable hours lost ($39,375 vs $7,127). The societal costs associated with probable PTSD were mainly driven by those related to loss of productivity due to absenteeism and presenteeism. How those results mirror the values and behaviors that are promoted in the field of law is discussed.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 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) | 0.003 | 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".