Pre-employment assessment and health surveillance for employees exposed to occupational asthmagens: overview
Bibliographic record
Abstract
The recent publication of an evidence-based review of occupational asthma [1] has highlighted the areas for which there is little evidence to guide the practising occupational physician dealing with workers exposed to occupational asthmagens. In particular, there is little or no evidence for effective management of prospective employees with a pre-existing or current history of asthma. There are few studies of efficacy of health surveillance programmes and an absence of guidance regarding important components and recommended frequency of assessment. This in-depth review sets out to review these important practical subjects for occupational physicians and where there is little evidence gives example of good practice from major employers in a number of different industries. The final paper looks to the future and the emerging areas of knowledge. The paper by Tarlo and Liss [2] sets out areas where good evidence exists for prevention of occupational asthma now thought to account for 10% of adult-onset asthma. Early diagnosis and early removal from exposure are essential to minimize the impact of occupational asthma once it has developed. Following diagnosis, the management of choice is complete removal from exposure, but even with early intervention there will be socio-economic consequences. The evidence for health surveillance is less certain, but one of the major studies [3] in Ontario is discussed in detail. Although there was some evidence of benefit, improvements in incidence were temporarily related to other hygiene changes in the workplace, which may have impacted on the development of occupational asthma. Areas which still need to be addressed include the important components and the optimum frequency of health surveillance assessments. In the paper by Linnet [4] the practice of a major platinum refiner is described. Platinum is a potent sensitizer with between 25–90% of employee populations becoming sensitized. Its refining also involves exposure to a number of irritants. The current practice is to exclude smokers and current active asthmatics on treatment. A previous history of asthma would exclude an employee if he/she were young and had not been tested in an industrial environment. Skin-prick testing with platinum salts is the mainstay of health surveillance and is conducted on a 3-monthly basis in areas of high exposure. The platinum industry does not exclude atopics because it is now recognized that exclusion of this group, prevalent in the general population, would exclude a large proportion of potential employees who would never go on to develop occupational asthma. The paper by Gannon [5] describes a global integrated programme for the prevention, early detection and mitigation of occupational asthma in an industry where employees work with isocyanates. The reason isocyanates cannot often be substituted are discussed. The practical issues of a global company policy which has to integrate with local legal and accepted professional practice are described. The authors suggest that this approach could be a model for other industries.
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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) | 0.001 | 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".