Date of Award

2014

Degree Type

Thesis

Degree Name

Bachelor of Science (Security) Honours

School

School of Computer and Security Science

Faculty

Computing, Health & Science

First Advisor

Jeffery Corkill

Abstract

With the growth of the mass gathering event domain and its ever constant place within the contemporary Australian lifestyle, the number of patrons who attend these events that require medical assistance rises (Zeitz et al., 2007, p. 23; Zeitz, Zeitz, & Arbon, 2005, p. 164; Zeitz, Zeitz, & Kadow-Griffin, 2012). This increased demand and inherited risk to the event organiser, the patrons attending and the pre-hospital care or first aid provider creates a need for the investigation into enhancements to the medical care operations at these events. The provision of pre-hospital care at mass gathering events in Western Australia is a vital service to the health of the community members in attendance and requires in depth planning, resourcing and staff to ensure that the risk of permanent injury or death to patrons is mitigated or reduced.

This study aimed to examine the viability of the introduction of the military intelligence methodology, Intelligence Preparation for the Battle Space (IPB), to the St John Ambulance WA Ltd planning process to improve the decision making ability within all levels and at the planning and operational stages of a mass gathering event.

Through the utilisation of a case study and documentary analysis methodological processes, supported by a constructivist framework, the existing knowledge base was examined and the integration of intelligence based concepts was introduced. The study has concluded that, utilising the Big Day Out Perth 2009 contextual setting and case study variable comparisons, that the introduction of IPB or a variation of its intelligence based methodological concepts is a viable and beneficial undertaking.

The study has demonstrated that this would allow for the enhanced examination of potential clinical presentations and the identification of required physical, human and information resources as a result of an event’s unique planning variables, risk inputs and their casual relationships within an event’s contextual setting. Though theoretically possible, the study highlights that further research is required to refine and explore the utilisation of the proposed model to other event types and/or organisations in order to validate its results

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