scholarly journals MEVA - a new method of occupational health and safety risk assessment

2019 ◽  
Vol 290 ◽  
pp. 12008
Author(s):  
Doru-Costin Darabont ◽  
Eduard Smîdu ◽  
Alina Trifu ◽  
Vicențiu Ciocîrlea ◽  
Iulian Ivan ◽  
...  

The paper describes a new method of occupational health and safety risk assessment. This method, called MEVA, unlike the old ones, focuses more on reduce or eliminate subjective issues in determining the probability of manifestation of risk factors and is based on a deductive reasoning, with the help of which is studied the chain between two or more events. The novelty of the method consists in combining risk assessment techniques with evaluation of compliance with legal and other requirements, aiming to provide a more objective results of the risk assessment. In the MEVA method, the risk matrix is defined by 5 classes of severity and 5 probability classes, resulting in 5 levels of risk. After quantifying the risk factors, prevention measures are proposed for all the identified risk factors and each partial risk level is recalculated as a result of the proposed measures. The five levels of risk were grouped into three categories: acceptable, tolerable and unacceptable. The MEVA method is a simple method and it can be used for assessing various workplaces, with different characteristics of complexity, activity domain or occupational health and safety recordings.

Author(s):  
Laura Sakebayeva ◽  
Gulsim Karashova ◽  
Galya Kuspangaliyeva ◽  
Kulyan Shayakhmetova ◽  
Dina Yegizbayeva ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Shamima Akter ◽  
Mahammad Mominur Rahman ◽  
Shipra Mandal ◽  
Nazmun Nahar

The occupational health and safety service is still in the developing stage. In Bangladesh, this service is merely focused on welfare for the garments workers. Statistics on musculoskeletal symptoms prevalence and risk factors analysis for any occupational group can assist to develop ergonomic based prevention and intervention programs. However, there is no information available about the musculoskeletal symptoms prevalence amongst automobile mechanics in Bangladesh. The aim of study is to estimate the prevalence of musculoskeletal symptoms and reveal association with physical risk factors among automobile mechanics. This cross-sectional study was performed with 100 automobile workers conveniently selected from different automobile workshop of Dhaka Division (Savar and Gabtoli) of Bangladesh. The short version of Dutch Musculoskeletal Questionnaire was used to determine the prevalence and associated physical risk factors. Furthermore, the Rapid Entire Body Assessment was used to identify the physical risk level of musculoskeletal symptoms. The prevalence of musculoskeletal symptoms during the last 12 months preceding data collection was reported at 77%. The most affected body parts were lower back (67%) then the hip (53%). Socio-demographic and physical risk factors were significantly (p<0.05) associated with reported musculo-skeletal symptoms. It is highly concerning issue for employing occupational health and safety program for those workers.South East Asia Journal of Public Health Vol.6(1) 2016: 8-13


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