Using job exposure matrices to estimate an individual's exposure for compensation?

Area of Science:

• Occupational Health
• Epidemiology
• Industrial Hygiene

Background:

• Job-exposure matrices (JEMs) assign exposure levels based on job history.
• Group-based exposure assignment in JEMs can lead to loss of precision and underestimate individual cumulative exposures.
• Underestimation of exposure can affect workers' eligibility for compensation based on exposure thresholds.

Purpose of the Study:

• To estimate the bandwidth of individual average exposures within a job.
• To quantify between-worker variability in exposure levels.
• To improve the accuracy of occupational exposure assessment for compensation purposes.

Main Methods:

• Analyzed over 80,000 repeated exposure measurements across various industries.
• Combined variance components for location and worker (within location and job).
• Estimated percentiles (1 and 2 standard deviations) above the median worker exposure distribution within jobs.

Main Results:

• The bandwidth factor, representing exposure variability, was larger for particulates and biological agents than for gases.
• For particulate matter exposure, the bandwidth factor varied between industries, with a median of 2.5 (range 1-4).
• Results highlight significant between-worker differences in exposure within the same job.

Conclusions:

• Applying a default bandwidth factor to JEMs acknowledges between-worker exposure variability.
• This approach enhances the Dutch occupational disease compensation scheme by addressing exposure uncertainty.
• Recognizing individual exposure differences is crucial for accurate occupational disease ascertainment under the 'presumably plausible' principle.