A method for developing organisation-wide manual handling based physical employment standards in a military context.

Autor: Carstairs GL; Land Division, Defence Science and Technology Group, Australia. Electronic address: greg.carstairs@dst.defence.gov.au., Ham DJ; Land Division, Defence Science and Technology Group, Australia., Savage RJ; Land Division, Defence Science and Technology Group, Australia., Best SA; Land Division, Defence Science and Technology Group, Australia., Beck B; Land Division, Defence Science and Technology Group, Australia., Billing DC; Land Division, Defence Science and Technology Group, Australia.
Jazyk: angličtina
Zdroj: Journal of science and medicine in sport [J Sci Med Sport] 2018 Nov; Vol. 21 (11), pp. 1162-1167. Date of Electronic Publication: 2018 Mar 02.
DOI: 10.1016/j.jsams.2018.02.008
Abstrakt: The benefit of job-related employment standards in physically demanding occupations are well known. A number of methodological frameworks have been established to guide the development of physical employment standards for single job functions. In the case of an organisation comprised of multiple and diverse employment specialisations, such as the Australian Army, it is impractical to develop unique employment standards for each occupation.
Objectives: To present an approach to organisational level physical employment standards development that seeks to retain occupationally specific task characteristics by applying a movement cluster approach.
Design: Structured methodological overview.
Methods: An outline of the research process used in performing job tasks analysis are presented, including the identification, quantification and characterisation, and verification of physically demanding manual handling tasks. The methodology used to filter task information collected from this job analyses to group manual handling tasks with similar characteristics (termed clusters), across a range of employment specialisations is given. Finally, we provide examples of test development based on these key manual handling clusters to develop a limited suite of tests with high content, criterion and face validity that may be implementable across a large organisation.
Results: Job task analysis was performed on 57 employment specialisations, identifying 458 tasks that were grouped into 10 movement based clusters. The rationalisation of criterion tasks through clustering informed the development of a limited suite of tests with high content, criterion and face validity that may be implementable across a large organisation.
Conclusion: This approach could be applied when developing physical employment standards across other multi-occupation organisations.
(Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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