A proposal for evaluation of exposure data.

E. Tielemans, H. Marquart, J. de Cock, M. Groenewold, J. V. van Hemmen
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引用次数: 62

Abstract

There is a growing need for transparency concerning ways in which existing exposure data are weighted for their relative value and quality. Currently, this evaluation is largely subjective and is dependent on the quality of the judgement of the individual assessor or expert group. In this paper some general guidelines are presented for a quality assessment procedure. Such a predetermined procedure potentially enhances the consistency among different assessors and assessments and facilitates harmonization of assessment procedures. The guidelines are presented in the context of a decision tree with four decision rules for data quality, i.e. 'availability of occupational hygiene information', 'variability and precision issues', 'internal validity' and 'external validity'. These methodological issues are considered to be the most important aspects of data quality and will be discussed in this paper. The decision tree eventually results in three quality classes, i.e. exposure data providing sufficient information, supplementary information and data which should be excluded from the exposure assessment process. The guidelines should not be used in a rigid manner but have to be interpreted in the light of the particular circumstances and purposes of the assessment.
一项评估暴露数据的建议。
在现有暴露数据的相对价值和质量加权方式方面,越来越需要透明度。目前,这种评价在很大程度上是主观的,取决于个别评估员或专家组的判断质量。本文提出了一些质量评估程序的一般准则。这种预先确定的程序可能加强不同的评估人员和评估之间的一致性,并促进评估程序的协调。这些指导方针是在具有四个数据质量决策规则的决策树的上下文中提出的,即:“职业卫生信息的可获得性”、“可变性和精确性问题”、“内部效度”和“外部效度”。这些方法问题被认为是数据质量最重要的方面,将在本文中讨论。决策树最终产生三个质量类别,即提供充分信息的暴露数据、补充信息和应排除在暴露评估过程之外的数据。不应严格使用准则,而应根据评估的具体情况和目的加以解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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