Literature DB >> 33524664

OWAS inter-rater reliability.

Christian Lins1, Sebastian Fudickar2, Andreas Hein3.   

Abstract

The Ovako Working posture Assessment System (OWAS) is a commonly used observational assessment method for determining the risk of work-related musculoskeletal disorders. OWAS claims to be suitable in the application for untrained persons but there is not enough evidence for this assumption. In this paper, inter-rater (inter-observer) reliability (agreement) is examined down to the level of individual postures and categories. For this purpose, the postures of 20 volunteers have been observed by 3 varying human raters in a laboratory setting and the inter-rater agreement against reference values was determined. A high agreement of over 98%(κ=0.98) was found for the postures of the arms but lower agreements were found for posture classification of the legs (66-97%,κ=0.85) and the upper body (80-96%,κ=0.85). No significant difference was found between raters with and without intense prior training in physical therapy. Consequently, the results confirm the general reliability of the OWAS method especially for raters with non-specialized background but suggests weaknesses in the reliable detection of a few particular postures.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  OWAS; Reliability analysis; Risk assessment; Working postures

Year:  2021        PMID: 33524664     DOI: 10.1016/j.apergo.2021.103357

Source DB:  PubMed          Journal:  Appl Ergon        ISSN: 0003-6870            Impact factor:   3.661


  3 in total

1.  Classification of body postures using smart workwear.

Authors:  Christian Lins; Andreas Hein
Journal:  BMC Musculoskelet Disord       Date:  2022-10-18       Impact factor: 2.562

Review 2.  Systematic Comparison of OWAS, RULA, and REBA Based on a Literature Review.

Authors:  Dohyung Kee
Journal:  Int J Environ Res Public Health       Date:  2022-01-05       Impact factor: 3.390

3.  The Relationship Between the NSP and the Individual and Work Organizational Variables: A Cross-Sectional Study.

Authors:  Sue Yuan; Yunxia Li; Lihui Zhang; Honghong Wang
Journal:  Front Public Health       Date:  2022-03-31
  3 in total

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