O6: Pattern Mapping in TSCA Risk Evaluations
Wed, 6/3: 2:15 PM - 3:15 PM CDT
Education Sessions
Education Sessions
Ernest N. Morial New Orleans Convention Center
Room: 395
CM Credit Hours: 1
Description
Under the 2016 amendments to TSCA, the EPA must determine whether a chemical substance presents an unreasonable risk of injury to health or the environment under its Conditions of Use (COU). For assessments involving workers, each COU links to one or more Occupational Exposure Scenarios (OESs), which EPA assesses using monitoring data and modeling methods.
This session will introduce a novel review and analysis that systematically maps COU–OES pairings across 22 published evaluations. The analysis standardizes COU and OES definitions, exposure assessment methods, and resulting risk determinations in order to recognize patterns in choice of exposure-risk relationship and method. The presentation covers how the method, source of data, and other considerations affect the ultimate risk determination. Specifically, we statistically assess the probability of unreasonable risk determination by route as a function of: chemical class, exposure assessment method, subtype of method (data source or specific model) and exposure assessment intensity.
This session demonstrates how mapping and analyzing COU–OES relationships can clarify trends and highlight important data gaps or methodological needs as well as indicate inconsistencies between risk evaluations. The session concludes with a determination of whether practitioners can forecast method selection or risk outcomes in future risk evaluations using existing risk evaluations. The impact of risk evaluation rule revisions will be discussed.
This session will introduce a novel review and analysis that systematically maps COU–OES pairings across 22 published evaluations. The analysis standardizes COU and OES definitions, exposure assessment methods, and resulting risk determinations in order to recognize patterns in choice of exposure-risk relationship and method. The presentation covers how the method, source of data, and other considerations affect the ultimate risk determination. Specifically, we statistically assess the probability of unreasonable risk determination by route as a function of: chemical class, exposure assessment method, subtype of method (data source or specific model) and exposure assessment intensity.
This session demonstrates how mapping and analyzing COU–OES relationships can clarify trends and highlight important data gaps or methodological needs as well as indicate inconsistencies between risk evaluations. The session concludes with a determination of whether practitioners can forecast method selection or risk outcomes in future risk evaluations using existing risk evaluations. The impact of risk evaluation rule revisions will be discussed.
Learning Outcomes
Upon completion, the participant will be able to
• Summarize the structure of TSCA risk evaluations; specifically, how risk evaluations are performed for Conditions of Use (COUs) and how exposure assessments are performed for Occupational Exposure Scenarios (OESs).
• Explain the scope of exposure assessment methods used by EPA, including monitoring data analysis and utilization of exposure models.
• Identify trends in, and data needs for, TSCA risk evaluations.
• Evaluate the likelihood of an unreasonable risk determination using chemical class, exposure intensity, and method selection as inputs.
• Recognize which risk evaluation characteristics are best-suited for predicting outcomes of future risk evaluations.
• Summarize the structure of TSCA risk evaluations; specifically, how risk evaluations are performed for Conditions of Use (COUs) and how exposure assessments are performed for Occupational Exposure Scenarios (OESs).
• Explain the scope of exposure assessment methods used by EPA, including monitoring data analysis and utilization of exposure models.
• Identify trends in, and data needs for, TSCA risk evaluations.
• Evaluate the likelihood of an unreasonable risk determination using chemical class, exposure intensity, and method selection as inputs.
• Recognize which risk evaluation characteristics are best-suited for predicting outcomes of future risk evaluations.
Content Level
Intermediate
Core Competencies
Exposure Assessment
Health Regulations
Risk Management
Keywords
Exposure Assessment
Regulatory compliance
Risk assessment and management
Session Availability
In-person
OnDemand
Targeted Audience
Professional
Transfer of Knowledge
Lecture Only
Live Polling
Practical Application