Cargando…

Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19

Background. We aimed to assess the validity of the Mat-O-Covid Job Exposure Matrix (JEM) on SARS-CoV-2 using compensation data from the French National Health Insurance compensation system for occupational-related COVID-19. Methods. Deidentified compensation data for occupational COVID-19 in France...

Descripción completa

Detalles Bibliográficos
Autores principales: Descatha, Alexis, Sembajwe, Grace, Gilbert, Fabien, Fadel, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105377/
https://www.ncbi.nlm.nih.gov/pubmed/35565128
http://dx.doi.org/10.3390/ijerph19095733
_version_ 1784708025764806656
author Descatha, Alexis
Sembajwe, Grace
Gilbert, Fabien
Fadel, Marc
author_facet Descatha, Alexis
Sembajwe, Grace
Gilbert, Fabien
Fadel, Marc
author_sort Descatha, Alexis
collection PubMed
description Background. We aimed to assess the validity of the Mat-O-Covid Job Exposure Matrix (JEM) on SARS-CoV-2 using compensation data from the French National Health Insurance compensation system for occupational-related COVID-19. Methods. Deidentified compensation data for occupational COVID-19 in France were obtained between August 2020 and August 2021. The case acceptance was considered as the reference. Mat-O-Covid is an expert-based French JEM on workplace exposure to SARS-CoV-2. Bi- and multivariable models were used to study the association between the exposure assessed by Mat-O-Covid and the reference, as well as the area under the curve (AUC), sensitivity, specificity, predictive values, and likelihood ratios. Results. In the 1140 cases included, there was a close association between the Mat-O-Covid index and the reference (p < 0.0001). The overall predictivity was good, with an AUC of 0.78 and an optimal threshold at 13 per thousand. Using Youden’s J statistic resulted in 0.67 sensitivity and 0.87 specificity. Both positive and negative likelihood ratios were significant: 4.9 [2.4–6.4] and 0.4 [0.3–0.4], respectively. Discussion. It was possible to assess Mat-O-Covid’s validity using data from the national compensation system for occupational COVID-19. Though further studies are needed, Mat-O-Covid exposure assessment appears to be accurate enough to be used in research.
format Online
Article
Text
id pubmed-9105377
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-91053772022-05-14 Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19 Descatha, Alexis Sembajwe, Grace Gilbert, Fabien Fadel, Marc Int J Environ Res Public Health Article Background. We aimed to assess the validity of the Mat-O-Covid Job Exposure Matrix (JEM) on SARS-CoV-2 using compensation data from the French National Health Insurance compensation system for occupational-related COVID-19. Methods. Deidentified compensation data for occupational COVID-19 in France were obtained between August 2020 and August 2021. The case acceptance was considered as the reference. Mat-O-Covid is an expert-based French JEM on workplace exposure to SARS-CoV-2. Bi- and multivariable models were used to study the association between the exposure assessed by Mat-O-Covid and the reference, as well as the area under the curve (AUC), sensitivity, specificity, predictive values, and likelihood ratios. Results. In the 1140 cases included, there was a close association between the Mat-O-Covid index and the reference (p < 0.0001). The overall predictivity was good, with an AUC of 0.78 and an optimal threshold at 13 per thousand. Using Youden’s J statistic resulted in 0.67 sensitivity and 0.87 specificity. Both positive and negative likelihood ratios were significant: 4.9 [2.4–6.4] and 0.4 [0.3–0.4], respectively. Discussion. It was possible to assess Mat-O-Covid’s validity using data from the national compensation system for occupational COVID-19. Though further studies are needed, Mat-O-Covid exposure assessment appears to be accurate enough to be used in research. MDPI 2022-05-08 /pmc/articles/PMC9105377/ /pubmed/35565128 http://dx.doi.org/10.3390/ijerph19095733 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Descatha, Alexis
Sembajwe, Grace
Gilbert, Fabien
Fadel, Marc
Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title_full Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title_fullStr Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title_full_unstemmed Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title_short Mat-O-Covid: Validation of a SARS-CoV-2 Job Exposure Matrix (JEM) Using Data from a National Compensation System for Occupational COVID-19
title_sort mat-o-covid: validation of a sars-cov-2 job exposure matrix (jem) using data from a national compensation system for occupational covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9105377/
https://www.ncbi.nlm.nih.gov/pubmed/35565128
http://dx.doi.org/10.3390/ijerph19095733
work_keys_str_mv AT descathaalexis matocovidvalidationofasarscov2jobexposurematrixjemusingdatafromanationalcompensationsystemforoccupationalcovid19
AT sembajwegrace matocovidvalidationofasarscov2jobexposurematrixjemusingdatafromanationalcompensationsystemforoccupationalcovid19
AT gilbertfabien matocovidvalidationofasarscov2jobexposurematrixjemusingdatafromanationalcompensationsystemforoccupationalcovid19
AT matocovidvalidationofasarscov2jobexposurematrixjemusingdatafromanationalcompensationsystemforoccupationalcovid19
AT fadelmarc matocovidvalidationofasarscov2jobexposurematrixjemusingdatafromanationalcompensationsystemforoccupationalcovid19