Examining the Comparative Incidence and Costs of Physical and Mental Health-Related Disabilities in an Employed Population
Bibliographic record
Abstract
OBJECTIVE: To address gaps in knowledge about disability rates and costs of short-term disability by answering the following questions: (1) what is the incidence and the costs of short-term disability episodes related to mental disorders? and (2) how do these figures compare with those of short-term disability episodes related to physical disorders? METHODS: The data set comes from a Canadian resource sector company's 2003-2006 short-term disability leave and human resource data sets. The multi-year data set consists of 33,913 records for all nonseasonal employees. The study focused on all episodes that began in 2003, 2004, or 2005. There are 12,407 unique employees represented. RESULTS: The overall disability rate was 14.5 episodes/100 person-years. The top five primary categories of disability episodes were respiratory disorder (2.3/100 person-years), musculoskeletal disorder (1.9/100 person-years), mental/behavioral disorder (2.1/100 person-years), injury (2.0/100 person-years), and digestive disorder (1.3/100 person-years). The mean disability episode was 33 days, and the mean cost was $9027/episode. Highest episode costs were associated with mental/behavioral disorder-related episodes ($18,000/episode), and the lowest costs were for respiratory disorders ($3000/episode). CONCLUSIONS: The results underscore that although disability related to mental/behavioral disorders may not comprise the largest proportion of cases, they represent the largest costs.
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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 | 0.000 |
| 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".