Work losses related to inflammatory bowel disease in Canada: results from a national population health survey
Bibliographic record
Abstract
OBJECTIVE: Few studies have assessed the influence of inflammatory bowel disease (IBD) on work loss or estimated the costs related to work loss. Our analysis reports the employment effects related to IBD as based on the 1998 sample of the Canadian National Population Health Survey (NPHS). METHODS: Our predictive analysis adapts the theory of labor supply to a health context. Respondents between the ages of 20 and 64 who reported that they had been diagnosed by a health professional to have "a bowel disorder such as Crohn's disease or colitis" were distinguished from the other respondents. A logistic regression model was used to estimate the OR for labor force nonparticipation and variables predictive of it in the case of IBD. For those people in the labor force, the Cox proportional hazard model was used to determine whether having IBD and similar bowel disorders had an effect on the number of months of continuous employment. RESULTS: Of the IBD patients 28.9% reported labor force nonparticipation, which was a greater proportion than the non-IBD respondents (18.5% nonparticipation). The OR was 1.20 (95% CI = 1.19-1.21) for nonparticipation of IBD patients versus non-IBD patients controlling for potentially confounding factors. We estimated the excess nonparticipation attributable to IBD and similar bowel disorders in Canada to be 2.9%. Based on this, the indirect cost of nonparticipation attributable to IBD in 1998 was >$104.2 million Canadian dollars. According to the second regression using the Cox proportional hazard model, IBD and similar bowel disorders were not significantly related to the number of months worked until a break in employment was reported. Thus, there was no excess work loss among those who were employed that was associated with IBD. CONCLUSIONS: By using directly observed data in our analysis, this method of estimation can predict the overall burden of IBD and similar bowel disorders, controlling for the effect of other potentially influential characteristics.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".