tize in<strong>for</strong>mation needs. A meta-analysis of published occurrence data and publicallyavailable data on production and use is underway. As part of the assessment, OSThas been developing an inclusive “universe” of active pharmaceutical ingredients(APIs), registered pharmaceuticals, as well as collecting, publically available marketingresearch, and published occurrence data. This ef<strong>for</strong>t produced a list of about 3,000drugs - prescription and over the counter drugs, human and animal drugs, and selectelicit drugs. However, this includes many redundant variants (e.g., salts) of the sameprime API. OST removed these redundancies because analytical methods target theprime organic-chemical component. This refinement reduced the universe to a listof about 1,800 prime APIs. Linking the universe with the occurrence data showsthat only about 10% of all prime APIs have been identified as target analytes (eitherdirectly or through a degradation product) in water, waste waters, or biosolids. Onlyabout 20% of the “top drugs” (from commercial prescriptions or sales over a 3 yearperiod) have been targeted. Many occurrence studies were driven more by analyticalmethods than risk characterization. The pharmaceuticals on the OST list are beinglinked to WHO Anatomical Therapeutic Categories (ATCs) to assess which therapeutic/mode-of-actionclasses have/have NOT yet been included in analytical studies ofoccurrence. The ATC in<strong>for</strong>mation will be related to toxicological data to help identifyresearch needs and develop an in<strong>for</strong>med approach <strong>for</strong> assessing human health risksof pharmaceuticals in water. This presentation is based on the views and opinions ofthe authors and does not necessarily reflect EPA policy.W4-B.2 Conerly O, Gebhart AM, Fitzpatrick S, Bloom R; conerly.octavia@epa.govUS Environmental Protection Agency, Toxservices, US Food and Drug AdministrationPHARMACEUTICALS IN THE ENVIRONMENT: HEALTH EFFECTSSCREENINGPharmaceuticals have been detected in water at very low levels. Pharmaceuticalshave robust datasets that characterize pharmacological and toxicological attributesat and above clinically relevant dose levels, but data gaps exist that affect possibleextrapolation to health risks at low levels of exposure. Pharmaceuticals are designed<strong>for</strong> use in specific subpopulations under controlled exposures, and consideration ofchronic, low-level exposures among the general population is not part of the drug approvalprocess. There<strong>for</strong>e, health risks, if any, from such exposures remain uncharacterized.Significant challenges exist related to estimating human health risks associatedwith pharmaceutical occurrence in drinking water. A pilot study between EPA andFDA is underway that utilizes publicly available therapeutic in<strong>for</strong>mation to conductan initial screening assessment. Data sharing between agencies is key to this screeningapproach. Drug-specific NOAELs and LOAELs were identified based on data frompre-clinical studies <strong>for</strong> four classes of drugs. Screening-RfD (S-RfD) and ScreeningMaximum Recommended Safe Dose (S-MRSD) values were derived based on EPA80and FDA guidance, respectively, <strong>for</strong> each drug. The S-RfD and S-MRSD values <strong>for</strong>the same drug were similar, within an order of magnitude in most cases, as long asboth points of departure were based on a NOAEL or both were based on a LOAEL.Environmental occurrence data also are being reviewed to evaluate useful ways toscreen and prioritize classes of drugs <strong>for</strong> risk assessment. Many occurrence studiesare driven more by analytical methods than risk characterization. The results of thisrisk characterization process will be compared with clinical data and this comparisonused to develop an in<strong>for</strong>med, long term strategy <strong>for</strong> assessing human health risks oflow level pharmaceuticals in water. This presentation is based on the views and opinionsof the authors and does not necessarily reflect EPA or FDA policy.T4-A.3 Connor M, Siegrist M; melanie.connor@usi.chUSITHE STABILITY OF RISK AND BENEFIT PERCEPTIONS: A LONGI-TUDINAL STUDY ASSESSING THE PERCEPTION OF TECHNOLOG-ICAL RISKIn recent years there has been an increased interest in involving the public indecision-making processes about science and technology. In Switzerland, such a decision-makingprocess was the endorsement of the biotechnology moratorium in 2005.Thus, the commercial cultivation of genetically modified crops (GM) and growth ofGM animals is prohibited until 2013. However, only if public attitudes and perceptionsremain constant over time will policy makers be able to take public preferencesinto account to make sound policy decisions. To date there are no longitudinal studiesdirectly assessing changes in people’s perception of risk regarding technologicalhazards. We investigated, there<strong>for</strong>e, the stability of people’s risk and benefit perceptionsof biotechnology over a period of two years. The same sample of participantsfilled out an identical questionnaire in spring 2008 and in spring 2010. Results wereanalyzed using structural equation modeling and revealed that risk and benefit perceptionof biotechnology are stable (r = 0.5-0.7). The results of the present studyshow that <strong>for</strong> a well-known and well-established technology such as biotechnology,people’s perceptions are stable; we would also expect similar results <strong>for</strong> e.g. nuclearpower since people became familiar with the technology and <strong>for</strong>med their opinionsover time. In this case, it can be assumed that preferences are not arbitrarily constructedwhen responding to questionnaire questions. In contrast, <strong>for</strong> novel technologiessuch as nanotechnology, risk and benefit perception might be less stable and it islikely that people construct their opinions at the time of responding to questionnaires.There<strong>for</strong>e, risk research should regularly examine people’s risk perceptions in orderto gain a clearer picture of the dynamics of their perception and preferences so thatpolicy makers and risk communication scholars have a clearer picture of the trends inpeople’s perceptions.
W4-B.3 Convertino M, Collier ZA, Valverde JL, Tourki Y, Barber M, Keisler JM,Linkov I; mconvertino@ufl.eduUniversity of Florida, USACE ERDC, Ecole des Mines Nancy, MIT, University of MassachusettsBostonDECISION-DRIVEN RISK ASSESSMENT OF THE PHARMACEUTI-CAL SUPPLY CHAINIt is widely recognized that most prescription (Rx) and over-the-counter (OTC)drugs consumed in the US are manufactured in <strong>for</strong>eign countries. Drug imports enterthe country in bulk as active pharmaceutical ingredients (APIs), finished dose <strong>for</strong>m(FDF) drug products <strong>for</strong> final packaging in the US, or FDF products in the final packaging<strong>for</strong> wholesale or retail marketing. While potentially less expensive, drugs withingredients originating from different countries carry various levels of risk dependingon health and safety regulations in that country. Some drugs may be counterfeits,possessing especially severe health risks to the user. We have developed a model <strong>for</strong>assessing risks at different steps of the pharmaceutical supply chain <strong>for</strong> ranking policyoptions (e.g. allow entry, inspect, destroy) at ports of entry that minimize risks topublic health in the US from either personal or expanded commercial importation ofdrug products. The exposure-hazard-vulnerability risk model considers all the steps inthe production and commercialization of pharmaceuticals. The decision is focusedon the port of entry and is supported by a threshold based multi-criteria decisionanalysis (MCDA) model. A drug-independent threshold is used to select the policyoption regarding the importation of pharmaceuticals.M4-I.5 Cooke RM; cooke@rff.orgResources <strong>for</strong> the Future, TU DelftEXPERT JUDGMENT AND STAKEHOLDER PREFERENCE MODEL-ING WITH PROBABILISTIC INVERSIONRational decision theory involves not only uncertainty quantification but alsovaluation. The utility side of decision theory has languished. This is partly becausethe community has been sent on a fool’s errand. As we have know since Arrowsimpossibility theorem – if not from Condorcet’s voting paradox, it is not possibleto characterize a set of rational agents as a rational agent whose preferences can berepresented as expected utility with non-dictatorial preference aggregation. All attemptsto find “the” utility function characterizing a group must fail. The alternativeis to characterize a group via a distribution over the set of utility functions. Recently,techniques have been developed to do this, and are gaining some traction in applications.Recent applications include valuing health states, ecosystem threats, great lakeecosystems, risks from zoonoses and risks from nano enabled foods. The stakeholdersmay be domain experts, but they may also be from the policy or media domains,or may be interested citizens. Given N choice alternatives, stakeholders rank orderpreferences or state preferences pair wise, or choose the k out of N - there are agreat number of <strong>for</strong>mats. Under mild assumptions we can find a distribution overall utility functions that best reproduces the discrete choice data. In other words thedistribution over utility functions is such that x% prefer alternative A to B, y% preferB to both C and A, z% prefer C to A, etc. with the percentages from the stakeholderdata. Linear or higher order utility models based on attributes of choice alternativesare easily accommodated. Finding a best fitting distribution over utilities is a problemof probabilistic inversion, which has been a focus of the risk/mathematics group inDelft <strong>for</strong> a number of years. Good algorithms exist and freeware is or will soon beavailable on the <strong>Risk</strong> and Environmental Modeling website.M3-G.2 Cooper EJ, Jardine C, Furgal C, Driedger SM; elizabeth_cooper@umanitoba.caUniversity of ManitobaRISK COMMUNICATION AND TRUST IN DECISION-MAKER AC-TION: LESSONS FROM FIRST NATIONS, INUIT AND METIS CASESTUDIES IN CANADA - THE THEORETICAL AND METHODOLOGI-CAL FRAMEWORKThis research seeks to develop a better understanding of the roles that riskcommunication has played in influencing individual and social trust in decision-makeraction on key public health issues. The work is being conducted via the developmentand application of a standardized evaluative framework to three unique cases of pastevents involving risk communication and management in select areas of Canada. Theimportance of trust in risk management is generally acknowledged. Incorporationof a fair, open process of public participation and dialogue has been advocated as animportant means of increasing public trust. Trust is not automatic, nor everlasting - itis difficult to gain, even harder to maintain, and once lost almost impossible to regain.A common evaluative framework has been developed to assess the impact of riskcommunication activities on public trust in decision-maker action. This frameworkis based on two established conceptual methodologies <strong>for</strong> assessing trust in risk communication.The first methodology assesses the degree to which negative bias (trustasymmetry) and prior attitudes affect trust in risk messages. The second conceptualmethodology assesses the dual-mode model of trust and confidence. This presentationwill focus on the development of this common evaluative framework and thechallenges associated in the application of trust models as applied to vulnerable communitieswhose education and literacy levels require different strategies to engageparticipants in meaningful ways. This mixed-methods project design embeds the responsesto a survey instrument in a focus group discussion to enable participants toboth provide individual and group responses to different aspects of the case studyunder reflection. This presentation lays the methodological and theoretical grounding<strong>for</strong> the three case studies presented during this symposium.81
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SECOND FLOOR Floor MapConvention Ce