Quantitative Validation of Control Bands Using Bayesian Statistical Analyses.

Autor:	McCord TA; Environmental Health and Safety Office, Michigan State University, East Lansing, MI, USA., Legaspi MT; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA., West EA; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA., Yung PK; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA., Larson DL; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA., Paik SY; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA., Zalk DM; Lawrence Livermore National Laboratory, ES&H Directorate, East Avenue Livermore, CA, USA.
Jazyk:	angličtina
Zdroj:	Annals of work exposures and health [Ann Work Expo Health] 2021 Jan 14; Vol. 65 (1), pp. 63-83.
DOI:	10.1093/annweh/wxaa081
Abstrakt:	This study presents a quantitative validation of 15 Similar Exposure Groups (SEGs) that were derived via control bands inherent to the Risk Level Based Management System currently being used at the Lawrence Livermore National Laboratory. For 93% of the SEGs that were evaluated, statistical analyses of personal exposure monitoring data, through Bayesian Decision Analysis (BDA), demonstrated that the controls implemented from the initial control bands assigned to these SEGs were at least as protective as the controls from the control band outcomes derived from the quantitative data. The BDA also demonstrated that for 40% of the SEGs, the controls from the initial control bands were overly protective, thus allowing controls to be downgraded, which resulted in a significant saving of environmental safety and health (ES&H) resources. Therefore, as a means to both confirm existing controls and to identify candidate SEGs for downgrading controls, efforts to continuously improve the accuracy of Control Banding (CB) strategies through the routine quantitative validation of SEGs are strongly encouraged. Targeted collaborative efforts across institutions and even countries for both the development of CB strategies and the validation of discreetly defined SEGs of commonly performed tasks will not only optimize limited ES&H resources but will also assist in providing a simplified process for essential risk communication at the worker level to the benefit of billions of workers around the world. (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Occupational Hygiene Society.)
Databáze:	MEDLINE
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