• 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