A toolkit for the analysis of biomechanical overload and prevention of WMSDs: Criteria, procedures and tool selection in a step-by-step approach

作者: E. Occhipinti , D. Colombini

DOI: 10.1016/J.ERGON.2015.08.001

关键词:

摘要: Abstract Background When studying work related musculoskeletal disorders (WMSDs), various factors (mechanical, organizational, psychophysical, individual) and their interrelationships have been considered to be important in general models for epidemiologic surveys risk assessment management. Hence the need a “holistic” approach towards MSD prevention. On other hand, considering widespread presence of these WMSDs many places located both developed developing countries, there is strong demand from OSH agencies operators “simple” management tools that can also used by non-experts. Objectives This paper one main contributions WHO/IEA project “Toolkit WMSD prevention” TC on IEA. The focuses selecting at different levels hazard identification, estimation proposals were primarily this context but they derive converging issues such as ISO TR 12295 – published 2014. Methods criteria Proposals are based two essential criteria: 1) adoption step-by-step starting with basic moving more complex only when necessary; 2) factoring complexity multiple influencing every step (although degrees in-depth analysis). Results include: Step : identification preliminary occupational hazards priority setting via “key-enter” questions (at step, all potential affecting should considered). WMSDs, consisting “quick assessment” substantially aimed identifying three possible conditions: acceptable/no consequences; critical/redesign urgently needed; detailed analysis required. recognized estimating (of WMSDs) depending outcomes two. Examples include “adaptations” Revised NIOSH Lifting Equation, Liberty Mutual Psychophysical Tables, OCRA Checklist, etc. These adequately cover most factors. Relevance industry use validated tools, accordance international standards, makes it tackle challenge simplifying biomechanical overload conditions prevention enterprises sizes, small businesses, agriculture, countries.

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