DocumentCode
2853554
Title
Monitoring and classifying evidence-based workload for profiling manual handling occupations
Author
Clarys, J.P. ; Tresignie, J. ; Scafoglieri, A. ; Cattrysse, E.
Author_Institution
Dept. of Exp. Anatomy, Vrije Univ. Brussel, Brussels, Belgium
fYear
2011
fDate
6-9 Dec. 2011
Firstpage
377
Lastpage
381
Abstract
The majority of employments with occupational musculoskeletal hazards can be classified as manual handling jobs in manufacturing and the public health sector. The purpose of this study was to monitor and classify evidence-based workload of a manual handling target group of nurses using a modified Delphi with three independent consecutive surveys. With its focus on maximizing participants´ judgment abilities, the modified Delphi technique is a non-compromising tool for decision making. As a result of three different and independent survey rounds, the tasks and maneuvers of the target group could be divided into six job categories. With 6 and 7 point Likert scales, both loading level and frequency were determined within each category allowing a final evidence-based classification of tasks and maneuvers at risk allowing a better profiling of manual handling occupations e.g. nursing.
Keywords
decision making; materials handling; occupational safety; occupational stress; pattern classification; decision making; evidence-based workload classification; manual handling jobs; manual handling occupation profiling; modified Delphi technique; noncompromising tool; occupational musculoskeletal hazards; participant judgment abilities; public health sector; Back; Hospitals; Loading; Manuals; Pain; Stress; Delphi survey; evidence-based; frequency; job classification; profiling manual handling; workload;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
Conference_Location
Singapore
ISSN
2157-3611
Print_ISBN
978-1-4577-0740-7
Electronic_ISBN
2157-3611
Type
conf
DOI
10.1109/IEEM.2011.6117942
Filename
6117942
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