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An analysis of the performance of trained staff using movement assist devices to evacuate the non-ambulant

An analysis of the performance of trained staff using movement assist devices to evacuate the non-ambulant

Hunt, Aoife, Galea, Edwin R. ORCID: 0000-0002-0001-6665 and Lawrence, Peter J. ORCID: 0000-0002-0269-0231 (2012) An analysis of the performance of trained staff using movement assist devices to evacuate the non-ambulant. In: 5th International Symposium. Human Behaviour in Fire 2012. Symposium Proceedings. Interscience Communications Ltd, Greenwich, London, UK, pp. 328-339. ISBN 978-0-9556548-8-6

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Abstract

This paper describes a series of trials undertaken to quantify the performance of trained hospital staff in evacuating a test subject through 11 floors of Ghent University Hospital using four commonly used movement assitance devices: stretcher, carry-chair, evacuation chair and rescue sheet. In total 32 trials were conducted, using both male and female assist teams. Presented in the paper are performance results, including: device preparation time, horizontal speeds, vertical speeds, and overtaking potential in stairwells. These data, alongside those established in questionnaire data from the experiment participants, form the basis of the device performance evaluation presented in this paper. A comparative methodology is derived to assess the efficiency of the devices. This methodology enabled performance differences to be established, according to the devices employed and the staff involved.

Item Type: Conference Proceedings
Title of Proceedings: 5th International Symposium. Human Behaviour in Fire 2012. Symposium Proceedings
Additional Information: [1] This paper was first presented at the 5th International Symposium, Human Behaviour in Fire, held from 19-21 September 2012 at Downing College, Cambridge, UK.
Uncontrolled Keywords: evacuation, non-ambulant, movement assist device
Subjects: Q Science > QA Mathematics > QA76 Computer software
Pre-2014 Departments: School of Computing & Mathematical Sciences
Related URLs:
Last Modified: 14 Oct 2016 09:22
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/9170

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