Literature DB >> 30629239

Usefulness of a job-exposure matrix 'MADE' as a decision tool for compensation of work-related musculoskeletal disorders.

Marc Fadel1,2, Remi Valter1,2, Alexandre Quignette1,3, Alexis Descatha1,2,4,5.   

Abstract

We aimed to assess the predictivity of the biomechanical job-exposure matrix 'MADE' using compensation data from the National Health Insurance for work-related disorders. Data were obtained from 2013 to 2015, area under curves (AUC), sensitivity, specificity and predictive values were calculated using compensation results as reference. We collected 163 128 cases data. AUC ranged from 0.64 for shoulders disorder to 0.82 for knee disorders. If two thresholds were considered, 28.7% of the sample fit under or over those. The matrix showed a fair predictivity. Such matrix cannot replace expertise but might be a tool used for improving compensation process.
© The Author(s) 2019. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Entities:  

Year:  2019        PMID: 30629239     DOI: 10.1093/eurpub/cky274

Source DB:  PubMed          Journal:  Eur J Public Health        ISSN: 1101-1262            Impact factor:   3.367


  4 in total

1.  Reliability of O*NET physical exposures between Italian and US databases.

Authors:  Angelo d'Errico; Francesca Gallo; Bradley A Evanoff; Alexis Descatha; Ann M Dale
Journal:  Am J Ind Med       Date:  2022-08-19       Impact factor: 3.079

Review 2.  Developing a Job Exposure Matrix of Work Organization Hazards in the United States: A Review on Methodological Issues and Research Protocol.

Authors:  BongKyoo Choi
Journal:  Saf Health Work       Date:  2020-06-09

3.  Not just a research method: If used with caution, can job-exposure matrices be a useful tool in the practice of occupational medicine and public health?

Authors:  Marc Fadel; Bradley A Evanoff; Johan H Andersen; Angelo d'Errico; Ann Marie Dale; Annette Leclerc; Alexis Descatha
Journal:  Scand J Work Environ Health       Date:  2020-05-05       Impact factor: 5.024

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

Authors:  Alexis Descatha; Grace Sembajwe; Fabien Gilbert; Marc Fadel
Journal:  Int J Environ Res Public Health       Date:  2022-05-08       Impact factor: 3.390

  4 in total

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