Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD, 20850, USA.
Curr Environ Health Rep. 2019 Sep;6(3):148-159. doi: 10.1007/s40572-019-00240-w.
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.
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.
基于人群的研究越来越多地将基于任务的职业调查问卷应答与通过透明、可编程决策规则收集的暴露估计联系起来。我们综述了基于规则方法的最新应用和方法学进展。
特定于代理的决策规则需要包含基于工作任务问题的访谈。一些研究在访谈之前制定了规则,而另一些研究则在访谈完成后制定了规则。基于规则的估计值与使用逐工作专家审查分配的暴露值之间的一致性通常为中等至良好(Kappa=0.4-0.8)。使用测量数据提供定量强度水平或整合同一工作的多个独立暴露源的规则代表了进一步的进展,以改善人群研究中职业暴露的特征描述。决策规则提供了透明且可重复的评估,减少了逐工作审查,并促进了流行病学研究中的敏感性分析。未来的研究应考虑在问卷设计的同时制定决策规则,以促进职业暴露评估工作。