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Reliability Analysis of Observation-Based Exposure Assessment Tools for the Upper Extremities: A Systematic Review

Author

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  • Preston Riley Graben

    (3323 Shelby Center for Engineering Technology, Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849-5346, USA)

  • Mark C. Schall

    (3323 Shelby Center for Engineering Technology, Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849-5346, USA)

  • Sean Gallagher

    (3323 Shelby Center for Engineering Technology, Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849-5346, USA)

  • Richard Sesek

    (3323 Shelby Center for Engineering Technology, Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849-5346, USA)

  • Yadrianna Acosta-Sojo

    (3323 Shelby Center for Engineering Technology, Department of Industrial and Systems Engineering, Auburn University, Auburn, AL 36849-5346, USA)

Abstract

(1) Background: The objectives of this systematic review were to (i) summarize the results of studies evaluating the reliability of observational ergonomics exposure assessment tools addressing exposure to physical risk factors associated with upper extremity musculoskeletal disorders (MSDs), and (ii) identify best practices for assessing the reliability of new observational exposure assessment tools. (2) Methods: A broad search was conducted in March 2020 of four academic databases: PubMed, Science Direct, Ergonomic Abstracts, and Web of Science. Articles were systematically excluded by removing redundant articles, examining titles and abstracts, assessing relevance to physical ergonomics and the upper extremities, and article type. (3) Results: Eleven articles were included in the review. The results indicated no singular best practice; instead, there were multiple methodological approaches researchers chose to use. Some of the significant variations in methodologies include the selection of reliability coefficients, rater and participant selection, and direct vs. digital observation. (4) Conclusion: The findings serve as a resource summarizing the reliability of existing observational risk assessment tools and identify common methods for assessing the reliability of new observational risk assessment tools. Limitations of this review include the number of databases searched, the removal of truncation symbols, and the selection of keywords used for the initial search.

Suggested Citation

  • Preston Riley Graben & Mark C. Schall & Sean Gallagher & Richard Sesek & Yadrianna Acosta-Sojo, 2022. "Reliability Analysis of Observation-Based Exposure Assessment Tools for the Upper Extremities: A Systematic Review," IJERPH, MDPI, vol. 19(17), pages 1-17, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:17:p:10595-:d:897214
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    References listed on IDEAS

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    1. Robert Ebel, 1951. "Estimation of the reliability of ratings," Psychometrika, Springer;The Psychometric Society, vol. 16(4), pages 407-424, December.
    2. Morton B. Brown, 1977. "The Tetrachoric Correlation and its Asymptotic Standard Error," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 343-351, November.
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    1. Teresia Nyman & Ida-Märta Rhén & Peter J. Johansson & Kristina Eliasson & Katarina Kjellberg & Per Lindberg & Xuelong Fan & Mikael Forsman, 2023. "Reliability and Validity of Six Selected Observational Methods for Risk Assessment of Hand Intensive and Repetitive Work," IJERPH, MDPI, vol. 20(8), pages 1-26, April.

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