The University of Ghana: A “Premier” University in National Development

Acquah, Edward; Budu, Joseph

doi:10.1007/978-3-319-49403-6_5

Cited by 3 publications

(2 citation statements)

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“…The initial task analysis is an essential phase for the modification/adaptation of the tool. A similar approach (Acquah, 2020; Acquah et al, 2019) was adopted by the developers of the EAUW during the formative process of the tool.…”

Section: Discussionmentioning

confidence: 99%

“…Prior work by Acquah et al (2020; 2021) has demonstrated the shortcomings of existing ergonomics exposure assessment tools for quantifying exposure to risk factors in unstructured and nonrepetitive type of work using informal e-waste recycling as an example (Acquah, 2020; Acquah et al, 2021). To overcome the limitations of previous observation-based assessment tools (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Applicability of the Assessment Tool for Unstructured and Unregulated Work to Assessing Office Ergonomics

Acquah,

Akuffo,

Yeboah

et al. 2023

Proceedings of the Human Factors and Ergonomics Society Annual

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The prevalence of work-related musculoskeletal disorders (WMSD) continues to increase among office workers. Appropriate and easy quantification of the predisposing factors are essential in developing and implementing interventions to prevent WMSD in this population. This requires the use of assessment methods that provide elaborate estimation of workers’ exposure to identified risk factors rather than an abridged sample of their work routine. This study tests with five bank tellers the Ergonomic Assessment tool for Unstructured and unregulated Work (EAUW) originally developed to provide duration and frequency estimations of risk factors in informal, non-routine work. The goal of this case study is to demonstrate the EAUW’s usefulness and applicability in office ergonomics assessment. The results indicate that the principles governing the EAUW (real time coding of risk factors) are applicable to office work assessment and promises to provide detailed estimation of risk factors when compared to existing job analysis tools.

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Section: Discussionmentioning

confidence: 99%