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Tiered Chemical Testing: A Value of Information Approach

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  • Fumie Yokota
  • George Gray
  • James K. Hammitt
  • Kimberly M. Thompson

Abstract

In December 2000 the EPA initiated the Voluntary Children's Chemical Evaluation Program (VCCEP) by asking manufacturers to voluntarily sponsor toxicological testing in a tiered process for 23 chemicals selected for the pilot phase. The tiered nature of the VCCEP pilot program creates the need for clearly defined criteria for determining when information is sufficient to assess the potential risks to children. This raises questions about how to determine the “adequacy” of the existing information and assess the need to undertake efforts to reduce uncertainty (through further testing). This article applies a value of information analysis approach to determine adequacy by modeling how toxicological and exposure data collected through the VCCEP may be used to inform risk management decisions. The analysis demonstrates the importance of information about the exposure level and control costs in making decisions regarding further toxicological testing. This article accounts for the cost of delaying control action and identifies the optimal testing strategy for a constrained decisionmaker who, absent applicable human data, cannot regulate without bioassay data on a specific chemical. It also quantifies the differences in optimal testing strategy for three decision criteria: maximizing societal net benefits, ensuring maximum exposure control while net benefits are positive (i.e., benefits outweigh costs), and controlling to the maximum extent technologically feasible while the lifetime risk of cancer exceeds a specific level of risk. Finally, this article shows the large differences that exist in net benefits between the three criteria for the range of exposure levels where the optimal actions differ.

Suggested Citation

  • Fumie Yokota & George Gray & James K. Hammitt & Kimberly M. Thompson, 2004. "Tiered Chemical Testing: A Value of Information Approach," Risk Analysis, John Wiley & Sons, vol. 24(6), pages 1625-1639, December.
  • Handle: RePEc:wly:riskan:v:24:y:2004:i:6:p:1625-1639
    DOI: 10.1111/j.0272-4332.2004.00555.x
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    1. D. Krewski & D .W. Gaylor & A. P. Soms & M. Szyszkowicz, 1993. "An Overview of the Report: Correlation Between Carcinogenic Potency and the Maximum Tolerated Dose: Implications for Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 383-398, August.
    2. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Literature Analysis: A Review of Applications in Health Risk Management," Medical Decision Making, , vol. 24(3), pages 287-298, June.
    3. Kimberly M. Thompson & John S. Evans, 1997. "The Value of Improved National Exposure Information for Perchloroethylene (Perc): A Case Study for Dry Cleaners," Risk Analysis, John Wiley & Sons, vol. 17(2), pages 253-271, April.
    4. Bernhard Metzger & Edmund Crouch & Richard Wilson, 1989. "On the Relationship Between Carcinogenicity and Acute Toxicity," Risk Analysis, John Wiley & Sons, vol. 9(2), pages 169-177, June.
    5. Fumie Yokota & Kimberly M. Thompson, 2004. "Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future," Risk Analysis, John Wiley & Sons, vol. 24(3), pages 635-650, June.
    6. Hahn, Robert W. (ed.), 1996. "Risks, Costs, and Lives Saved: Getting Better Results from Regulation," OUP Catalogue, Oxford University Press, number 9780195211740, Decembrie.
    7. Alison C. Taylor & John S. Evans & Thomas E. McKone, 1993. "The Value of Animal Test Information in Environmental Control Decisions," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 403-412, August.
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    1. repec:awi:wpaper:0607 is not listed on IDEAS
    2. Chris D. Money, 2007. "The Use of Human Experience Data in the EU Risk Assessment Process," Risk Analysis, John Wiley & Sons, vol. 27(2), pages 387-396, April.
    3. Pamela R. D. Williams & Jacqueline Patterson & Daniel W. Briggs, 2006. "VCCEP Pilot: Progress on Evaluating Children's Risks and Data Needs," Risk Analysis, John Wiley & Sons, vol. 26(3), pages 781-801, June.
    4. Silke Gabbert & Hans‐Peter Weikard, 2010. "A theory of chemicals regulation and testing," Natural Resources Forum, Blackwell Publishing, vol. 34(2), pages 155-164, May.
    5. Bjørnsen, Kjartan & Selvik, Jon Tømmerås & Aven, Terje, 2019. "A semi-quantitative assessment process for improved use of the expected value of information measure in safety management," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 494-502.
    6. N. J. Welton & A. E. Ades & D. M. Caldwell & T. J. Peters, 2008. "Research prioritization based on expected value of partial perfect information: a case‐study on interventions to increase uptake of breast cancer screening," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 807-841, October.

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