Developing a Job-Exposure Matrix with Exposure Uncertainty from Expert Elicitation and Data Modeling

Details

• Personal Author:
  Fischer HJ ; Kheifets L ; Lombardi DA ; Silva M ; Vergara XP ; Yost M
• Description:
  Job exposure matrices (JEMs) are tools used to classify exposures for job titles based on general job tasks in the absence of individual level data. However, exposure uncertainty due to variations in worker practices, job conditions, and the quality of data has never been quantified systematically in a JEM. We describe a methodology for creating a JEM which defines occupational exposures on a continuous scale and utilizes elicitation methods to quantify exposure uncertainty by assigning exposures probability distributions with parameters determined through expert involvement. Experts use their knowledge to develop mathematical models using related exposure surrogate data in the absence of available occupational level data and to adjust model output against other similar occupations. Formal expert elicitation methods provided a consistent, efficient process to incorporate expert judgment into a large, consensus-based JEM. A population-based electric shock JEM was created using these methods, allowing for transparent estimates of exposure. [Description provided by NIOSH]
• Subjects:
  Electric Injuries Electricity Occupational Health Safety
• Keywords:
  Author Keywords: EMF Electrical Hazards Electrical Shock Electrical Workers Empirical/Statistical Models Exposure Assessment Exposure Modeling JEM Job Exposure Matrix Mathematical Models Population Based Studies

  More +
• ISSN:
  1559-0631
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  California ; Massachusetts ; OSHA Region 1 ; OSHA Region 10 ; OSHA Region 9 ; Washington
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  7-15
• Volume:
  27
• Issue:
  1
• NIOSHTIC Number:
  nn:20053515
• Citation:
  J Expo Sci Environ Epidemiol 2017 Jan; 27(1):7-15
• Contact Point Address:
  Dr. Heidi J. Fischer, Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, CA 90095-1772, USA
• Email:
  hfischer@ucla.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  University of California, Los Angeles
• Peer Reviewed:
  True
• Start Date:
  20110901
• Source Full Name:
  Journal of Exposure Science and Environmental Epidemiology
• End Date:
  20140830
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:087048dd485da4fdecdc31e26071f25d2ac7dd697607784a42bae51c056cbbb77e471a46c230f83f8d612d8db5af70c4c47f4ae5e287fd2eda99b85d6d503d4f
• Download URL:
  https://stacks.cdc.gov/view/cdc/216251/cdc_216251_DS1.pdf
• File Type:
  [PDF - 305.32 KB ]