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Using Decision Rules to Assess Occupational Exposure in Population-Based Studies.
- Source :
-
Current environmental health reports [Curr Environ Health Rep] 2019 Sep; Vol. 6 (3), pp. 148-159. - Publication Year :
- 2019
-
Abstract
- Purpose of Review: Population-based studies increasingly link task-based occupational questionnaire responses collected from subjects to exposure estimates via transparent, programmable decision rules. We reviewed recent applications and methodological developments of rule-based approaches.<br />Recent Findings: Agent-specific decision rules require interviews incorporating work-task-based questions. Some studies have developed rules before the interviews took place, while others developed rules after the interviews were completed. Agreement between rule-based estimates and exposures assigned using job-by-job expert review were generally moderate to good (Kappa = 0.4-0.8). Rules providing quantitative intensity levels using measurement data or that integrate multiple independent exposure sources for the same job represent further advances to improve the characterization of occupational exposures in population studies. Decision rules have provided transparent and reproducible assessments, reduce job-by-job review, and facilitate sensitivity analyses in epidemiologic studies. Future studies should consider the development of decision rules concurrent with the questionnaire design to facilitate occupational exposure assessment efforts.
- Subjects :
- Case-Control Studies
Decision Making
Epidemiologic Studies
Humans
Models, Statistical
Occupational Exposure analysis
Research Design
Surveys and Questionnaires
Vehicle Emissions analysis
Air Pollutants, Occupational adverse effects
Environmental Monitoring methods
Occupational Exposure statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 2196-5412
- Volume :
- 6
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Current environmental health reports
- Publication Type :
- Academic Journal
- Accession number :
- 31297745
- Full Text :
- https://doi.org/10.1007/s40572-019-00240-w