Preventing Occupational Skin Disease: A Review of Training Programs
Bibliographic record
Abstract
Occupational contact dermatitis (OCD) is a common occupational disease that impacts a variety of worker groups. Skin protection and disease prevention training programs have shown promise for improving prevention practices and reducing the incidence of OCD. This review details the features of training programs for primary prevention of OCD and identifies gaps in the literature. Twelve studies were identified for in-depth review: many studies included wet workers employed in health care, hairdressing, cleaning, and food preparation; 1 program featured manufacturing workers. Few programs provided content on allergic contact dermatitis, and only 1 was evaluated for long-term effectiveness. Effective programs were similar in content, delivery method, and timing and were characterized by industry specificity, multimodal learning, participatory elements, skin care resource provision, repeated sessions, and management engagement. Long-term effectiveness, generalizability beyond OCD, workplace health and safety culture impact, and translation of programs in the North American context represent areas for future research.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".