1.
Eur J Public Health
; 29(5): 868-870, 2019 10 01.
Article
in English
| MEDLINE
| ID: mdl-30629239
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.
Subject(s)
Decision Support Techniques , Musculoskeletal Diseases/etiology , Occupational Diseases/etiology , Workers' Compensation , Area Under Curve , France , Humans , Knee Injuries/economics , Knee Injuries/etiology , Musculoskeletal Diseases/economics , Occupational Diseases/economics , Occupational Exposure/adverse effects , Occupational Exposure/economics , Occupational Exposure/statistics & numerical data , Sensitivity and Specificity , Shoulder Injuries/economics , Shoulder Injuries/etiology , Workers' Compensation/economics , Workers' Compensation/statistics & numerical data
2.
J Occup Environ Med
; 59(6): e134-e135, 2017 06.
Article
in English
| MEDLINE
| ID: mdl-28598942