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

Marc Fadel 1 Remi Valter 1 Alexandre Quignette 2, 1 Alexis Descatha 3, 4, 1
1 CONSTANCES - UMS011 Cohortes épidémiologiques en population
2 Renault, service de santé au travail, Flins
3 Irset - Institut de recherche en santé, environnement et travail
4 EHESP - École des Hautes Études en Santé Publique [EHESP]
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.
Keywords : knee disorders musculoskeletal diseases health insurance area under curve occupational diseases shoulder region decision support systems
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Marc Fadel, Remi Valter, Alexandre Quignette, Alexis Descatha. Usefulness of a job-exposure matrix 'MADE' as a decision tool for compensation of work-related musculoskeletal disorders. European Journal of Public Health, Oxford University Press (OUP): Policy B - Oxford Open Option D, 2019, 29 (5), pp.868-870. ⟨10.1093/eurpub/cky274⟩. ⟨hal-01978718⟩

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