Literature DB >> 28783375

Errors Using Observational Methods for Ergonomics Assessment in Real Practice.

Jose-Antonio Diego-Mas1, Jorge Alcaide-Marzal1, Rocio Poveda-Bautista1.   

Abstract

OBJECTIVE: The degree in which practitioners use the observational methods for musculoskeletal disorder risks assessment correctly was evaluated.
BACKGROUND: Ergonomics assessment is a key issue for the prevention and reduction of work-related musculoskeletal disorders in workplaces. Observational assessment methods appear to be better matched to the needs of practitioners than direct measurement methods, and for this reason, they are the most widely used techniques in real work situations. Despite the simplicity of observational methods, those responsible for assessing risks using these techniques should have some experience and know-how in order to be able to use them correctly.
METHOD: We analyzed 442 risk assessments of actual jobs carried out by 290 professionals from 20 countries to determine their reliability.
RESULTS: The results show that approximately 30% of the assessments performed by practitioners had errors. In 13% of the assessments, the errors were severe and completely invalidated the results of the evaluation.
CONCLUSION: Despite the simplicity of observational method, approximately 1 out of 3 assessments conducted by practitioners in actual work situations do not adequately evaluate the level of potential musculoskeletal disorder risks. APPLICATION: This study reveals a problem that suggests greater effort is needed to ensure that practitioners possess better knowledge of the techniques used to assess work-related musculoskeletal disorder risks and that laws and regulations should be stricter as regards qualifications and skills required by professionals.

Entities:  

Keywords:  human error analysis; industrial/workplace ergonomics; job risk assessment; measures; physical work

Mesh:

Year:  2017        PMID: 28783375     DOI: 10.1177/0018720817723496

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  3 in total

1.  Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human-robot collaboration scenario.

Authors:  Matteo Pantano; Qiaoyue Yang; Adrian Blumberg; Raven Reisch; Tobias Hauser; Benjamin Lutz; Daniel Regulin; Tobias Kamps; Konstantinos Traganos; Dongheui Lee
Journal:  Front Robot AI       Date:  2022-09-27

Review 2.  An Overview of REBA Method Applications in the World.

Authors:  Manuel Hita-Gutiérrez; Marta Gómez-Galán; Manuel Díaz-Pérez; Ángel-Jesús Callejón-Ferre
Journal:  Int J Environ Res Public Health       Date:  2020-04-12       Impact factor: 3.390

3.  Whole body biomechanical burden of healthcare workers: proposal for a complementary risk assessment and management tool (HOARA).

Authors:  Alessandro Baracco; Maurizio Coggiola; Davide Bosio; Ferruccio Perrelli; Giacomo Garzaro; Veronica Turcu; Enrico Pira
Journal:  Med Lav       Date:  2019-10-29       Impact factor: 1.275

  3 in total

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