Literature DB >> 20737338

Inter-observer reliability of forceful exertion analysis based on video-recordings.

S Bao1, N Howard, P Spielholz, B Silverstein.   

Abstract

The objectives were to examine inter-observer reliability of job-level forceful exertion analyses and temporal agreement of detailed time study results. Three observers performed the analyses on 12 different jobs. Continuous duration, frequency and % time of lifting, pushing/pulling, power and pinch gripping exertions and estimated level of the exertions were obtained. Intraclass correlation coefficient and variance components were computed. Temporal agreement analyses of raw time study data were performed. The inter-observer reliability was good for most job-level exposure parameters (continuous duration, frequency and % time of forceful exertions), but only fair to moderate for the estimated level of forceful exertions. The finding that the between-observer variability was less than the between-exertion variability confirmed that the forceful exertion analysis method used in the present study can detect job exertion differences.Using three observers to perform detailed time studies on task activities and getting consensus of the majority can increase the between-observer agreement up to 97%. STATEMENT OF RELEVANCE: The results inform researchers that inter-observer reliability for job-level exposure measurement of forceful exertion analysis obtained from detailed time studies is generally good, but the observers' ability in the estimation of forceful exertion level can be poor. It also provides information on the temporal agreement of detailed forceful exertion analysis and guidelines on achieving better agreement for studies where accurate synchronisation of task activities and direct physiological/biomechanical measurements is crucial.

Mesh:

Year:  2010        PMID: 20737338     DOI: 10.1080/00140139.2010.507879

Source DB:  PubMed          Journal:  Ergonomics        ISSN: 0014-0139            Impact factor:   2.778


  3 in total

1.  Exploring physical exposures and identifying high-risk work tasks within the floor layer trade.

Authors:  Jamie McGaha; Kim Miller; Alexis Descatha; Laurie Welch; Bryan Buchholz; Bradley Evanoff; Ann Marie Dale
Journal:  Appl Ergon       Date:  2013-11-23       Impact factor: 3.661

2.  Automation of workplace lifting hazard assessment for musculoskeletal injury prevention.

Authors:  June T Spector; Max Lieblich; Stephen Bao; Kevin McQuade; Margaret Hughes
Journal:  Ann Occup Environ Med       Date:  2014-06-24

3.  Pooling job physical exposure data from multiple independent studies in a consortium study of carpal tunnel syndrome.

Authors:  Jay M Kapellusch; Arun Garg; Stephen S Bao; Barbara A Silverstein; Susan E Burt; Ann Marie Dale; Bradley A Evanoff; Frederic E Gerr; Carisa Harris-Adamson; Kurt T Hegmann; Linda A Merlino; David M Rempel
Journal:  Ergonomics       Date:  2013-05-22       Impact factor: 2.778

  3 in total

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