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1.
Sante Publique ; 31(5): 645-655, 2020.
Article in French | MEDLINE | ID: mdl-35724148

ABSTRACT

OBJECTIVES: The main objective was to describe the weighting methodology used for the national EVREST (Evolution and Relations in Health at Work) survey data. The secondary objectives were on the one hand to assess the extent of the differences between crude and weighted estimates, on the other hand to verify that the two-year gap in the availability of the reference data used does substantially not impact the estimates. METHODS: The study was based on data collected in 2013 and 2014 (N = 26,227). The weighting included 2 steps: 1) a first weighing to take into account the probability of participation of each employee; and 2) a calibration on margins to correct the potential distortions of the sample in comparison with the scope of the survey, the reference data used coming from the annual declarations of social data (DADS) of the years 2014 and 2012. The impact of the weighting method was studied using the differences between crude and weighted percentages for the 60 variables of the questionnaire. RESULTS: 90% of the differences between crude and weighted estimates were between - 2.0% and + 2.0% using the 2014 DADS, and 83% using the 2012 DADS. The most overestimated crude estimate concerned full-time work and the most underestimated was contact with the public. The impact of the two-year gap in the availability of the reference data used was weak. CONCLUSION: A weighting methodology for EVREST survey was define and implement, allowing results to be extrapolated to the scope of the survey.

2.
Sante Publique ; 31(5): 645-655, 2019.
Article in French | MEDLINE | ID: mdl-32372603

ABSTRACT

OBJECTIVES: The main objective was to describe the weighting methodology used for the national EVREST (Evolution and Relations in Health at Work) survey data. The secondary objectives were on the one hand to assess the extent of the differences between crude and weighted estimates, on the other hand to verify that the two-year gap in the availability of the reference data used does substantially not impact the estimates. METHODS: The study was based on data collected in 2013 and 2014 (N = 26,227). The weighting included 2 steps: 1) a first weighing to take into account the probability of participation of each employee; and 2) a calibration on margins to correct the potential distortions of the sample in comparison with the scope of the survey, the reference data used coming from the annual declarations of social data (DADS) of the years 2014 and 2012. The impact of the weighting method was studied using the differences between crude and weighted percentages for the 60 variables of the questionnaire. RESULTS: 90% of the differences between crude and weighted estimates were between - 2.0% and + 2.0% using the 2014 DADS, and 83% using the 2012 DADS. The most overestimated crude estimate concerned full-time work and the most underestimated was contact with the public. The impact of the two-year gap in the availability of the reference data used was weak. CONCLUSION: A weighting methodology for EVREST survey was define and implement, allowing results to be extrapolated to the scope of the survey.


Subject(s)
Health Surveys/methods , Occupational Health , Humans
3.
Sante Publique ; 20 Suppl 3: S49-56, 2008.
Article in French | MEDLINE | ID: mdl-18773829

ABSTRACT

The constant evolution of working conditions requires occupational health and exposure indicators in order to highlight problems at the collective level with the aim of carrying out research to explore and find equally collective solutions. The monitoring system Evrest is an observatory via questionnaire. Using a prevention lens, its aim is the dynamic study of different aspects of the work and health of wage earners, based on quantitative indicators developed from data gathered during the occupational health medical examinations. After its use for several years in a large industrial corporation and a test phase in the Nord-Pas de Calais region by voluntary occupational health teams, this monitoring system is being expanded and applied to other French regions.


Subject(s)
Occupational Health , Surveys and Questionnaires , Algorithms , Databases as Topic , France , Humans , Pilot Projects , Sampling Studies
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