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

Alexis Descatha, Grace Sembajwe, Fabien Gilbert, Mat-O-Covid Investigation Group and Marc Fadel
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Alexis Descatha: Univ. Angers (University of Angers), CHU Angers, Univ. Rennes, Inserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, F-49000 Angers, France
Grace Sembajwe: Department of Occupational Medicine, Epidemiology and Prevention, Donald and Barbara Zucker School of Medicine, Hosftra University Northwell Health, New York, NY 11021, USA
Fabien Gilbert: Univ. Angers (University of Angers), CHU Angers, Univ. Rennes, Inserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, F-49000 Angers, France
Mat-O-Covid Investigation Group: Mat-O-Covid investigation group (list of inverstigator): Alexis Descatha (CHU/Univ. Angers), Marc Fadel (Univ. Angers/AP-HP), Sabrina Pitet (CHU Angers), Fabien Gilbert (Univ. Angers), Rémi Valter (AP-HP, Paris), Annette Leclerc (Inserm), Catherine Verdun-Esquer (CHU Bordeaux), Yolande Esquirol (CHU/Univ. Toulouse III), Clément Legeay (CHU Angers), Audrey Petit (CHU/Univ. Angers), Aurélien Dinh (AP-HP, Paris Saclay Univ.), Pascal Andujar (Univ. Paris Est Créteil, Créteil Hospital), Jean-Pierre Leclerc (INRS, Nancy), Corinne Letheux (Presanse, Paris), Pascal Duprat (DIRECCT Ile-de-France, Paris), Brigitte Clodoré (Ville de Paris), Sandrine Cartégnie (SISTBI, La Réunion), Céline Dagrenat (CMIE, Paris), William Dab (CNAM, Paris), Bénédicte Clin-Godard (CHU Caen), Jean-François Gehanno (CHU Rouen), Vincent Dubée (Univ. Angers/CHU Angers), Philippe Havette (La Poste, Paris).
Marc Fadel: Univ. Angers (University of Angers), CHU Angers, Univ. Rennes, Inserm, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail)-UMR_S 1085, IRSET-ESTER, SFR ICAT, CAPTV CDC, F-49000 Angers, France

IJERPH, 2022, vol. 19, issue 9, 1-5

Abstract: 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.

Keywords: public health; occupational; COVID-19; SARS-CoV-2; work; job exposure matrix; JEM; compensation; predictivity; validity; accuracy (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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