Development of a crosswalk to convert French PCS2003 into international ISCO88 occupational classifications. Application to the Occupational Asthma-specific Job-Exposure Matrix (OAsJEM).

IF 1.8 4区 医学 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Corinne Pilorget, Brigitte Dananché, Loïc Garras, Florence Orsi, Guillaume Sit, Céline Ribet, Marie-Tülin Houot, Marcel Goldberg, Orianne Dumas, Nicole Le Moual
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引用次数: 0

Abstract

Introduction: The problem of transcoding is recurrent when researchers wish to link occupational data from cohorts to Job-Exposure Matrices (JEMs) which were not set up in the same classifications. The Occupational Asthma-specific JEM (OAsJEM) is a JEM developed for assessing exposure to agents known at risk for asthma for jobs coded with ISCO88 occupation classification. To apply the OAsJEM in the CONSTANCES cohort, in which jobs and industries were coded with French PCS2003 and NAF2008 classifications respectively, we developed a crosswalk to convert jobs from PCS2003 into ISCO88 classification.

Methods: This work was carried out by 2 skilled coders and 1 novice coder who have worked independently by using different tools and transcoding strategies defined a priori. Consensus meetings were organized with skilled coders to define the final crosswalk. This work was elaborated in 2 steps: (i) for 38 ISCO88 codes classified as potentially exposed to cleaning and disinfection products by the OAsJEM, and (ii) for all jobs from the ISCO88 classification. A comparison between the 3 initial coder's crosswalk proposals and the final crosswalk was made for the 38 ISCO codes in step (i).

Results: The final crosswalk provided 998 matches between the 482 4-digit PCS2003 codes, 308 4-digit ISCO88 codes, and 31 3-digit ISCO88 codes. Information regarding the NAF2008 industry classification was also used in some cases to improve the final crosswalk. For the selected 38 ISCO88 codes, the final crosswalk provided 110 combinations, but the number of proposed ISCO88-PCS2003 couples by each of the 3 coders varied greatly from 68 to 153. In addition, an important variability between the 3 coders were observed among the number of common combinations between the initial coder's proposals and the final crosswalk (from 47% to 78%).

Discussion: We have developed a crosswalk specifically for an application of the OAsJEM in population-based surveys using the PCS2003 occupation classification. The development of this crosswalk is of great interest for the use of OAsJEM on the data of the CONSTANCES cohort and on any other survey with occupational data coded according to the French classifications. This OAsJEM crosswalk could be used by other teams to evaluate occupational exposures known to be at risk of asthma from occupational calendars coded with French classifications.

开发将法国 PCS2003 转换为国际 ISCO88 职业分类的对照表。应用于职业性哮喘特定工作暴露矩阵(OAsJEM)。
导言:当研究人员希望将队列中的职业数据与工作暴露矩阵(JEM)联系起来时,经常会遇到转码问题。职业性哮喘专用工作暴露矩阵(OAsJEM)是一种工作暴露矩阵,用于评估与已知有哮喘风险的制剂的接触情况,这些制剂是根据 ISCO88 职业分类编码的。CONSTANCES队列中的工作和行业分别以法国PCS2003和NAF2008分类编码,为了在CONSTANCES队列中应用OAsJEM,我们开发了一种交叉路径,将PCS2003中的工作转换为ISCO88分类:这项工作由 2 名熟练编码员和 1 名新手编码员独立完成,他们使用不同的工具和事先确定的转码策略。他们与熟练编码员召开了共识会议,以确定最终的横道图。这项工作分两步进行(i) 针对被 OAsJEM 归类为可能接触清洁和消毒产品的 38 个 ISCO88 代码,以及 (ii) ISCO88 分类中的所有工作。对步骤(i)中的 38 个 ISCO 代码,比较了 3 个初始编码员的交叉排列建议和最终交叉排列:结果:最终的交叉检索在 482 个 4 位数 PCS2003 代码、308 个 4 位数 ISCO88 代码和 31 个 3 位数 ISCO88 代码之间提供了 998 个匹配项。在某些情况下,还使用了有关 NAF2008 行业分类的信息来改进最终的横向对比。对于选定的 38 个 ISCO88 代码,最终的交叉检索提供了 110 个组合,但 3 个编码员各自提出的 ISCO88-PCS2003 组合数量差异很大,从 68 个到 153 个不等。此外,在最初编码员的建议和最终横道图之间的共同组合数量上(从 47% 到 78%),3 位编码员之间也存在很大差异:我们专门开发了一种横道图,用于在使用 PCS2003 职业分类的人口调查中应用 OAsJEM。对于在 CONSTANCES 队列数据中使用 OAsJEM 以及在任何其他根据法国分类法对职业数据进行编码的调查中使用 OAsJEM 而言,开发该交叉途径具有重大意义。其他研究小组也可以使用该 OAsJEM 对照表,对根据法国分类编码的职业日历中已知的哮喘风险职业暴露进行评估。
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来源期刊
Annals Of Work Exposures and Health
Annals Of Work Exposures and Health Medicine-Public Health, Environmental and Occupational Health
CiteScore
4.60
自引率
19.20%
发文量
79
期刊介绍: About the Journal Annals of Work Exposures and Health is dedicated to presenting advances in exposure science supporting the recognition, quantification, and control of exposures at work, and epidemiological studies on their effects on human health and well-being. A key question we apply to submission is, "Is this paper going to help readers better understand, quantify, and control conditions at work that adversely or positively affect health and well-being?" We are interested in high quality scientific research addressing: the quantification of work exposures, including chemical, biological, physical, biomechanical, and psychosocial, and the elements of work organization giving rise to such exposures; the relationship between these exposures and the acute and chronic health consequences for those exposed and their families and communities; populations at special risk of work-related exposures including women, under-represented minorities, immigrants, and other vulnerable groups such as temporary, contingent and informal sector workers; the effectiveness of interventions addressing exposure and risk including production technologies, work process engineering, and personal protective systems; policies and management approaches to reduce risk and improve health and well-being among workers, their families or communities; methodologies and mechanisms that underlie the quantification and/or control of exposure and risk. There is heavy pressure on space in the journal, and the above interests mean that we do not usually publish papers that simply report local conditions without generalizable results. We are also unlikely to publish reports on human health and well-being without information on the work exposure characteristics giving rise to the effects. We particularly welcome contributions from scientists based in, or addressing conditions in, developing economies that fall within the above scope.
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