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A comparative force assessment of 4 methods to move a patient up a bed

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conference contribution
posted on 25.09.2018, 13:44 by Michael FrayMichael Fray, George Holgate
This study compared four different postures and positions regularly suggested for moving a patient up towards the head of the bed, using both novice and expert users. The trial was carried out in a laboratory using 21 participants (10 novices and 11 experts). All participants completed all conditions (n = 4) three times each (n = 3 repetitions). The physical force at each hand was recorded using electronic four compression/tension meters, recorded on DasyLab software. After each condition a subjective review questionnaire was completed. The data was processed with excel and SPSS to evaluate the differences between the conditions. A significant statistical reduction was found when comparing combined force for all carers (F(3,27) = 24.63, p <.05) and the load per individual (F(2.21,44.21) = 27.26, p <.05). However there was found to be no statistical difference between left and right hand or upper or lower hand. Transfers carried out with the carer pulling the patient towards them corresponded with a lower force to complete the transfer. This study suggests that a position with an oblique offset base and an action of pull and push in line with the carer could be the preferred position for a wide range of patient transfers.

History

School

  • Design

Published in

Advances in Intelligent Systems and Computing

Volume

822

Pages

631 - 640

Citation

FRAY, M. and HOLGATE, G., 2018. A comparative force assessment of 4 methods to move a patient up a bed. IN: Bagnara S. ... et al (eds). Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). Springer: Cham, pp.631-640.

Publisher

© Springer

Version

AM (Accepted Manuscript)

Publisher statement

This is a pre-copyedited version of a contribution published in Bagnara S. ... et al (eds). Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). published by Springer. The definitive authenticated version is available online via https://doi.org/10.1007/978-3-319-96077-7_68

Publication date

2018

ISBN

9783319960760

ISSN

2194-5357

Book series

Advances in Intelligent Systems and Computing;822

Language

en