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Response Letter to Koivisto et al. 'Evaluating the Theoretical Background of STOFFENMANAGER® and the Advanced REACH Tool'.
Fransman, Wouter; Arnone, Mario; Borghi, Francesca; Cattaneo, Andrea; Cavallo, Domenico M; Cherrie, John W; Franken, Remy; Galea, Karen S; van der Haar, Rudolf; Heussen, Gerardus A H; Jensen, Keld A; Koponen, Milja; Koppisch, Dorothea; Kromhout, Hans; Luo, Yu-Syuan; McNally, Kevin; Säämänen, Arto; Spinazzè, Andrea; van Tongeren, Martie; Vanoirbeek, Jeroen; Verpaele, Steven; Vetter, Daniel; Viegas, Susana; Warren, Nick.
Afiliación
  • Fransman W; Risk Analysis for Products in Development, TNO, The Netherlands.
  • Arnone M; Unit Exposure Monitoring-MGU, Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA), 53757 Sankt Augustin, Germany.
  • Borghi F; Department of Science and High Technology, University of Insubria, 22100 Como, Italy.
  • Cattaneo A; Department of Science and High Technology, University of Insubria, 22100 Como, Italy.
  • Cavallo DM; Department of Science and High Technology, University of Insubria, 22100 Como, Italy.
  • Cherrie JW; Institute of Occupational Medicine (IOM), Edinburgh EH14 4AP, UK.
  • Franken R; Institute of Biological Chemistry, Biophysics and Bioengineering, Heriot Watt University, Edinburgh EH14 4AS, UK.
  • Galea KS; Risk Analysis for Products in Development, TNO, The Netherlands.
  • van der Haar R; Institute of Occupational Medicine (IOM), Edinburgh EH14 4AP, UK.
  • Heussen GAH; Mutual Insurance Society for Accidents at Work and Occupational Diseases MC MUTUAL, Provença 321, 08037 Barcelona, Spain.
  • Jensen KA; Cosanta BV, 1117 CJ Schiphol-Oost, The Netherlands.
  • Koponen M; The National Research Centre for the Working Environment, DK-2100 Copenhagen, Denmark.
  • Koppisch D; Occupational Safety, Finnish Institute of Occupational Health, FI-00032 Työterveyslaitos, Finland.
  • Kromhout H; Unit Exposure Monitoring-MGU, Institute for Occupational Safety and Health of the German Social Accident Insurance (IFA), 53757 Sankt Augustin, Germany.
  • Luo YS; Institute for Risk Assessment Sciences (IRAS), Department of Population Health Sciences, Utrecht University, Yalelaan 2, 3584 CM Utrecht, The Netherlands.
  • McNally K; Institute of Food Safety and health, National Taiwan University, Taipei, Taiwan.
  • Säämänen A; Science and Research Centre, Health and Safety Executive (HSE), Buxton, UK.
  • Spinazzè A; Occupational Safety, Finnish Institute of Occupational Health, FI-00032 Työterveyslaitos, Finland.
  • van Tongeren M; Department of Science and High Technology, University of Insubria, 22100 Como, Italy.
  • Vanoirbeek J; Centre for Occupational and Environmental Health, Centre for Epidemiology, The University of Manchester, Manchester, UK.
  • Verpaele S; Department of Public Health and Primary Care in the Centre of Environment and Health, KU Leuven, Belgium.
  • Vetter D; Health Environment and Public Policy department, Nickel Institute, Brussels, Belgium.
  • Viegas S; Occupational Exposure/Biostatistics, EBRC Consulting GmbH, Hannover, Germany.
  • Warren N; NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, 1600-560 Lisbon, Portugal.
Ann Work Expo Health ; 66(4): 543-549, 2022 04 22.
Article en En | MEDLINE | ID: mdl-35182067
ABSTRACT
In this article, we have responded to the key statements in the article by Koivisto et al. (2022) that were incorrect and considered to be a biased critique on a subset of the exposure models used in Europe (i.e. ART and Stoffenmanager®) used for regulatory exposure assessment. We welcome scientific discussions on exposure modelling (as was done during the ISES Europe workshop) and criticism based on scientific evidence to contribute to the advancement of occupational exposure estimation tools. The tiered approach to risk assessment allows various exposure assessment models from screening tools (control/hazard banding) through to higher-tiered approaches. There is a place for every type of model, but we do need to recognize the cost and data requirements of highly bespoke assessments. That is why model developers have taken pragmatic approaches to develop tools for exposure assessments based on imperfect data. We encourage Koivisto et al. to focus on further scientifically robust work to develop mass-balance models and by independent external validations studies, compare these models with alternative model tools such as ART and Stoffenmanager®.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exposición Profesional Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Ann Work Expo Health Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Exposición Profesional Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Ann Work Expo Health Año: 2022 Tipo del documento: Article País de afiliación: Países Bajos
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