4.7 Article

Evaluation of the accuracy and consistency of the Swedish Environmental Classification and Information System for pharmaceuticals

期刊

SCIENCE OF THE TOTAL ENVIRONMENT
卷 408, 期 11, 页码 2327-2339

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.scitotenv.2010.02.020

关键词

Risk assessment; Classification; Pharmaceuticals; Consistency; Accuracy; Voluntary; Ecotoxicity

资金

  1. Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas)

向作者/读者索取更多资源

The Swedish environmental and classification system for pharmaceuticals is a voluntary, industry-owned system with the purpose to provide environmental information about active pharmaceutical ingredients in the Swedish market. In this paper we report the results from a detailed evaluation of the accuracy and consistency of the risk assessments conducted within this system. The evaluation focused on the following three aspects: 1) comparison of the companies' risk assessments with the classification system's own guidance document, 2) how the risk assessments are affected if additional effect data is used, and 3) the consistency of different risk assessments for the same pharmaceutical substance. The analyses show that the system's guidance gives no criteria for when to consider a study long-term or short-term, and that this confusion affected the outcome of the risk assessments in some cases. Furthermore, when the system's guidance document is followed and the risk assessment was supplemented with effect data from the open scientific literature, then the risk classification for a substantial number of the evaluated substances was altered. Our analyses also revealed that in some cases risk assessors disagree on the outcome of the assessment for the same active pharmaceutical ingredient. Finally we list some recommendations to improve the classification system. The recommendations include clarifying concepts and instructions in the guidance document, introduction of a standardized way of reporting data to the website, and promotion of use of nonstandard test data when considered the most relevant. (C) 2010 Elsevier B.V. All rights reserved.

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